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1
Kovalcik, Justin, and Mike Villalobos. "Automated Storage & Retrieval System." Information Technology and Libraries 38, no. 4 (December 16, 2019): 114–24. http://dx.doi.org/10.6017/ital.v38i4.11273.
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The California State University, Northridge (CSUN) Oviatt Library was the first library in the world to integrate an automated storage and retrieval system (AS/RS) into its operations. The AS/RS continues to provide efficient space management for the library. However, added value has been identified in materials security and inventory as well as customer service. The concept of library as space, paired with improved services and efficiencies, has resulted in the AS/RS becoming a critical component of library operations and future strategy. Staffing, service, and security opportunities paired with support and maintenance challenges, enable the library to provide a unique critique and assessment of an AS/RS.
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Lokhande, Kalyani, and Dhanashree Tayade. "English-Marathi Cross Language Information Retrieval System." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 8 (August 30, 2017): 112. http://dx.doi.org/10.23956/ijarcsse.v7i8.34.
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Nowadays, different types of content in different languages are available on World Wide Web and their usage is increasing rapidly. Cross Language Information Retrieval (CLIR) deals with retrieval of documents in another language than the language of the requested query. Various researchers worked on Cross Language Information Retrieval systems for Indian languages using different translation approaches. There is still CLIR system to be developed which allow user to retrieve Marathi documents when English query is given. In the proposed English to Marathi Cross Language Information Retrieval system, translation is based on query translation approach. The proposed system retrieves Marathi documents depending on matching terms in query. The performance of the proposed system is improved by query pre-processing and query expansion using WordNet.
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Davis, G. L., Edward F. Gilman, and Howard W. Beck. "An Electronically Based Horticultural Information Retrieval System." HortTechnology 6, no. 4 (October 1996): 332–36. http://dx.doi.org/10.21273/horttech.6.4.322.
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A large horticultural database and an electronic retrieval system for extension education programs were developed using compact disk-read only memory (CD-ROM) and World Wide Web (WWW) as the medium for information delivery. Object-oriented database techniques were used to organize the information. Conventional retrieval techniques including hypertext, full text searching, and expert systems were integrated into a complete package for accessing information stored in the database. A multimedia user interface was developed to provide a variety of capabilities including computer graphics and high resolution digitized images. Information for the CD-ROM was gathered from extension publications that were tagged using the standard generalized markup language (SGML)-based document markup language (International Standards Organization, 1986). Combining funds from the state legislator with grants from the USDA and other institutions, the CD-ROM system has been implemented in all 67 county extension offices in Florida and is available to the public as a for-sale CD-ROM. Public access is also available to most of the database through the WWW.
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Gao, Ruoyuan. "Toward a fairer information retrieval system." ACM SIGIR Forum 55, no. 1 (June 2021): 1–2. http://dx.doi.org/10.1145/3476415.3476429.
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With the increasing popularity and social influence of information retrieval (IR) systems, various studies have raised concerns on the presence of bias in IR and the social responsibilities of IR systems. Techniques for addressing these issues can be classified into pre-processing , in-processing and post-processing. Pre-processing reduces bias in the data that is fed into machine learning models. In-processing encodes fairness constraints as a part of the objective function or learning process. Post-processing operates as a top layer over the trained model to reduce the presentation bias exposed to users. This dissertation explored ways to bring the pre-processing and post-processing approaches, together with the fairness-aware evaluation metrics, into a unified framework as an attempt to break the vicious cycle of bias and improve fairness in IR. We first investigated the existing bias presented in search engine results. Specifically, we focused on the top-k fairness ranking in terms of statistical parity fairness and disparate impact fairness definitions. With Google search and a general purposed text cluster as a lens, we explored several topical diversity fairness ranking strategies to understand the relationship between relevance and fairness in search results. Our experimental results showed that different fairness ranking strategies resulted in distinct utility scores and performed differently with distinct datasets. Second, to further investigate the relationship of data and fairness algorithms, we developed a statistical framework that was able to facilitate various analysis and decision making. Our framework could effectively and efficiently estimate the domain of data and solution space. We derived theoretical expressions to identify the fairness and relevance bounds for data of different distributions, and applied them to both synthetic datasets and real world datasets. We presented a series of use cases to demonstrate how our framework was applied to associate data and provide insights to fairness optimization problems. Third, we proposed an evaluation metric FAIR for the ranking results that encoded fairness, diversity, novelty and relevance. This metric offered a new perspective of evaluating fairness-aware ranking results. Based on this metric, we developed an effective ranking algorithm that jointly optimized for fairness and utility. Our experiments showed that our new metric was able to highlight results that achieved good user utility and fair information exposure at the same time. We showed how FAIR metric related to existing metrics through correlation analysis and case studies, and demonstrated the effectiveness of our FAIR-based algorithm.
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Johnson, David, and Myke Gluck. "Geographic Information Retrieval and the World Wide Web: A Match Made in Electronic Space." Cartographic Perspectives, no. 26 (March 1, 1997): 13–26. http://dx.doi.org/10.14714/cp26.717.
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This article looks at the access to geographic information through a review of information science theory and its application to the WWW. The two most common retrieval systems are information and data retrieval. A retrieval system has seven elements: retrieval models, indexing, match and retrieval, relevance, order, query languages and query specification. The goal of information retrieval is to match the user's needs to the information that is in the system. Retrieval of geographic information is a combination of both information and data retrieval. Aids to effective retrieval of geographic information are: query languages that employ icons and natural language, automatic indexing of geographic information, and standardization of geographic information. One area that has seen an explosion of geographic information retrieval systems (GIR's) is the World Wide Web (WWW). The final section of this article discusses how seven WWW GIR's solve the the problem of matching the user's information needs to the information in the system.
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Takama, Yasufumi, and Kaoru Hirota. "Topic-based Intelligent Support System for Information Retrieval." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 6 (November 20, 2000): 457–63. http://dx.doi.org/10.20965/jaciii.2000.p0457.
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We propose a new concept of intelligent support systems for topic-based information retrieval. As information retrieval (IR) on the World Wide Web (WWW) becomes widespread, new types of tools and systems that do not only find specific pages the user wants, but also and helping the user learn about a particular field of interest are increasingly needed. Two systems based on this consideration are introduced in this paper. One is the Fish View system for supporting document-ordering. It focuses on the user’s document-ordering (making diagrams) while reading, and the user’s viewpoint is represented by a combination of a small number of concepts taken from the existing concept structure dictionary. The extracted viewpoint can be used for measuring the similarity among documents, using fisheye matching, the extended Vector Space Model. The other is the query network for visualization of the topic distribution through WWW IR, and its concept employing the Immune Network model is introduced with preliminary experiments.
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Jena, Gouranga Charan, and Siddharth Swarup Rautaray. "A comprehensive survey on cross-language information retrieval system." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (April 1, 2019): 127. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp127-134.
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Cross language information retrieval (CLIR) is a retrieval process in which the user fires queries in one language to retrieve information from another (different) language. The diversity of information and language barriers are the serious issues for communication and cultural exchange across the world. To solve such barriers, Cross language information retrieval system, are nowadays in strong demand. CLIR is a subset of Information Retrieval (IR) system. Information Retrieval deals with finding useful information from a large collection of unstructured, structured and semi-structured data to a user query where the query is a set of keywords. Information Retrieval can be classified into different classes such as Monolingual information retrieval, Bi-Lingual Information Retrieval, Multilingual information retrieval and Cross language information retrieval. This paper focuses on the various IR variants and techniques used in CLIR system. Further, based on available literature, a number of challenges and issues in CLIR have been identified and discussed. It gives an overview of the advantages, limitations, tools available in CLIR research. It also describes new application areas of CLIR such as medical, multimedia, question answering system etc. The need for exploring and building more specialized information system that enable speakers of an Odia language to discover valuable information beyond linguistic and cultural barriers. This study is aimed at building an experimental CLIR system between one of the under-resourced language (i.e. Odia) and one of the most commonly used online language (i.e. English) in future.
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Sathiyamoorthi, V. "Improving the Performance of an Information Retrieval System through WEB Mining." Information Technologies and Control 14, no. 2 (June 1, 2016): 28–34. http://dx.doi.org/10.1515/itc-2017-0004.
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AbstractIt is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months!. In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. World Wide Web (WWW) acts as a medium for sharing of information. As a result, millions of applications run on the Internet and cause increased network traffic and put a great demand on the available network infrastructure. The slow retrieval of Web pages may reduce the user interest from accessing them. To deal with this problem Web caching and Web pre-fetching are used. This paper focuses on a methodology for improving the proxy-based Web caching system using Web mining. It integrates Web caching and Pre-fetching through an efficient clustering based pre-fetching technique.
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Ильиченкова, Зоя, Zoya Ilichenkova, Светлана Иванова, and Svetlana Ivanova. "SYSTEM OF RETRIEVAL AND ANALYSIS OF RELIABLE INFORMATION IN INTERNET NETWORK." Bulletin of Bryansk state technical university 2016, no. 3 (September 30, 2016): 243–49. http://dx.doi.org/10.12737/22128.
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Now in the world a problem of reliable information retrieval in the Internet network is especially critical. It is defined by increased data capacity and by the absence of control over data placement. It is offered to determine information reliability by methods of fuzzy logic at the correct formation of retrieval request. For the estimate of completeness, truth and integrity of data obtained it is offered to rely upon the analysis of information from other pages of a site found. In accordance with this the notions of topical closeness of site pages and reliability of information presented in the remaining sections. To organize an output are compiled the rules for the integral reliability output of a site page. For example, if information on a page does not coincide with analyzed one and is reliable then one can suppose that related information is reliable. Further, with the use of Mam-dani controller is carried out a defuzzification. A technology for a retrieval request organization is offered to increase an information content retrieval. The technologies offered for retrieval and analysis of information allow increasing effectiveness and a retrieval rate of reliable, integrated and true information in the Internet network.
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Zahid, Zeshan, Suleman Atique, and Mirza Abdul Aleem Baig. "Geographical Information System Utilization in Health Care System of Pakistan." Volume 1, Issue 1 : October 2015 – December 2015 1, no. 1 (November 15, 2015): 32–34. http://dx.doi.org/10.32463/rphs.2015.v01i01.07.
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Geographical Information System (GIS) is computer software used for collection, storage, transformation, retrieval and display of geo spatial data from the real GIS world. The geographical data represent the real world in terms of their position with respect to a known coordinate system, their attributes and their geographical relationship with other objects. GIS utilization is being recognized as having the potential to improve the health of that specific population. GIS contributes in policy making, monitoring, implementation, and research in health sector. Need of population according to information provided by the GIS can be determined, which gives a quick and comprehensive review of regional and geographical health problems so that policy makers can utilize this for policy making and for forecasting the epidemics and other community health problems by using GIS. GIS system is a powerful and effective tool for creating intelligent/guide maps for, e.g., location of local health facilities, trauma centers, and specialized hospitals. It’s easy to purchase the GIS (hardware and software), but its proper utilization is a big task for the organizations to achieve their specific goals.
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Harviainen, J. Tuomas, and Amon Rapp. "Multiplayer online role-playing as information retrieval and system use: an ethnographic study." Journal of Documentation 74, no. 3 (May 14, 2018): 624–40. http://dx.doi.org/10.1108/jd-07-2017-0100.
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Purpose The purpose of this paper is to expand the research of games as information systems. It illustrates how significant parts of massively multiplayer online role-playing function like information retrieval from a library database system. Design/methodology/approach By combining ideas from earlier contributions on the topics of game environments as information systems, the paper explores how gameplay connects to information retrieval, restricted content access, and information system structure. The paper then proceeds to examine this idea through an ethnographic study conducted in World of Warcraft during 2012-2016. Findings By discussing how multiplayer digital game play is a form of information retrieval, the paper shows that players enjoy the well-restricted access to information that is a constitutive element of gameplay. Examining controlled access, procedural literacies and emphatic keywords, the paper finds that content relevances and system use may be influenced by hedonic concerns rather than task efficiency. Originality/value The study of retrieval issues related to gaming enriches our knowledge on inferences in retrieval. It shows that people may prefer that their access to information be limited, in order to make system use more interesting.
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Gilman, E. F., and H. Beck. "The CD-ROM–World Wide Web Hybrid." HortScience 32, no. 3 (June 1997): 553D—553. http://dx.doi.org/10.21273/hortsci.32.3.553d.
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A large horticultural database and an electronic retrieval system for extension education programs were developed using compact disk-read only memory (CD-ROM) and World Wide Web (WWW) as the medium for information delivery. Object-oriented database techniques were used to organize the information. Conventional retrieval techniques including hypertext, full text searching, and expert systems were integrated into a complete package for accessing information stored in the database. A multimedia user interface was developed to provide a variety of capabilities, including computer graphics and high-resolution digitized images. Information for the CD-ROM was gathered from extension publications that were tagged using the Standard Generalized Markup Language (SGML) -based document markup language (International Standards Organization, 1986). Combining funds from the state legislator with grants from the USDA, and other institutions, the CD-ROM system has been implemented in all 67 county extension offices in Florida and is available to the public as a for sale CD-ROM. Public access is also available to most of the database through the WWW.
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Diepenbroek, Michael, Dieter Fütterer, Hannes Grobe, Heinz Miller, Manfred Reinke, and Rainer Sieger. "PANGAEA information system for glaciological data management." Annals of Glaciology 27 (1998): 655–60. http://dx.doi.org/10.3189/1998aog27-1-655-660.
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Specific parameters determined from continental ice sheet or glacier cores can be used to reconstruct former climate. Tο use this scientific resource effectively, an information system is needed which guarantees consistent long-term data storage and provides easy access. Such a system, to archive any data of paleoclimatic relevance, together with the related metadata, raw data and evaluated paleoclimatic data, is presented. It is based on a relational database and provides standardized import and export routines, easy access with uniform retrieval functions and tools for visualizing the data. The network is designed as a client-server system, providing access through the Internet with proprietary client software including a high functionality or read-only access to published data via the World Wide Web (www.pangaea.de).
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Yogish, Deepa, T. N. Manjunath, and Ravindra S. Hegadi. "Analysis of Vector Space Method in Information Retrieval for Smart Answering System." Journal of Computational and Theoretical Nanoscience 17, no. 9 (July 1, 2020): 4468–72. http://dx.doi.org/10.1166/jctn.2020.9099.
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In the world of internet, searching play a vital role to retrieve the relevant answers for the user specific queries. The most promising application of natural language processing and information retrieval system is Question answering system which provides directly the accurate answer instead of set of documents. The main objective of information retrieval is to retrieve relevant document from a huge volume of data sets underlying in the internet using appropriatemodel. There are many models proposed for retrieval process such as Boolean, Vector space and Probabilistic method. Vector space model is best method in information retrieval for document ranking with efficient document representation which combines simplicity and clarity. VSM adopts similarity function to measure the matching between documents and user intent, and assign scores from the biggest to smallest. The documents and query are assigned with weights using term frequency and inverse document frequency method. To retrieve most relevant document to the user query term, document ranking function cosine similarity score is applied for every document and user query. The documents having more similarity scores will be considered as relevant documents to the query term and they are ranked based on these scores. This paper emphasizes on different techniques of information retrieval and Vector Space Model offers a realistic compromise in IR processing. It allows best weighing scheme which ranks the set of documents in order of relevance based on user query.
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Mooney, Gary. "Intelligent information retrieval from the World Wide Web using fuzzy user modelling." Library and Information Research 21, no. 67 (October 26, 2013): 24–28. http://dx.doi.org/10.29173/lirg379.
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The ever-changing nature of information sources, coupled with the increased demand on dwindling academic resources, led librarians and other information professionals to recognise the need for information retrieval (IR) systems that can incorporate the expertise of the information professional
and gather knowledge about the user's experiences and preferences (Werckert & Cooper, 1989). The explosion of available information resources brought about by the development of the Internet and the World-Wide Web (WWW) has strengthened this need. The goal is to produce an
'intelligent' IR system which would work with the user to satisfy their information needs, so the application of Artificial lntelligence (AI) techniques seems a likely approach to the problem (Morris, 1990).
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Gil, Ana B., Fernando de la Prieta, Sara Rodríguez, and Juan M. Corchado. "Smart System for the Retrieval of Digital Educational Content." Applied Sciences 9, no. 20 (October 17, 2019): 4400. http://dx.doi.org/10.3390/app9204400.
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The education sector is a major generator, consumer, and depositary of educational content. Thanks to technological advances, today’s educators and learners have ubiquitous and on-demand access to information. Technology has made it possible for us to communicate and share information effortlessly from anywhere in the world. However, the availability of vast amounts of heterogeneous educational content will not be useful unless we search, retrieve and integrate it, creating interoperable educational environments. The current challenges to integrating educational content arise from its distribution over several repositories. This research proposes AIREH (architecture for intelligent retrieval of educational content from heterogeneous environments), for the retrieval of digital content through agent-based virtual organizations. This flexible architecture facilitates the search for and integration of heterogeneous content through an information retrieval model that involves both case-based reasoning and federated search. Moreover, AIREH is based on an adaptive organization model for distributed planning, thanks to which, it manages open systems flexibly, dynamically, and effectively. The conducted case study gives very promising results and demonstrates the advantages of using agent-based virtual organizations in the retrieval of labeled digital content. The proposed model is flexible, customizable, comprehensive and efficient.
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Zeynali-Tazehkandi, Mahdi, and Mohsen Nowkarizi. "A Dialectical Approach to Search Engine Evaluation." Libri 70, no. 3 (September 25, 2020): 227–37. http://dx.doi.org/10.1515/libri-2019-0142.
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AbstractEvaluation of information retrieval systems is a fundamental topic in Library and Information Science. The aim of this paper is to connect the system-oriented and the user-oriented approaches to relevant philosophical schools. By reviewing the related literature, it was found that the evaluation of information retrieval systems is successful if it benefits from both system-oriented and user-oriented approaches (composite). The system-oriented approach is rooted in Parmenides’ philosophy of stability (immovable) which Plato accepts and attributes to the world of forms; the user-oriented approach is rooted in Heraclitus’ flux philosophy (motion) which Plato defers and attributes to the tangible world. Thus, using Plato’s theory is a comprehensive approach for recognizing the concept of relevance. The theoretical and philosophical foundations determine the type of research methods and techniques. Therefore, Plato’s dialectical method is an appropriate composite method for evaluating information retrieval systems.
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Zheng, Yong Jun, Zhong Ming Ren, Dai Zhong Su, and Leslie Arthur. "Semantic Similarity Based on Ontology Technology and its Application in Mobile Information Retrieval for Product Design." Key Engineering Materials 419-420 (October 2009): 741–44. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.741.
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With recent advances in wireless communication technologies, the world of mobile computing is flourishing with a variety of applications. This paper presents a mobile product information retrieval system that supports collaborative work among remote users. With the development of the system, a knowledge representation framework has been adopted which accommodates semantic relationships and similarity of product data. To illustrate the system developed, a case study in information retrieval for product design is presented．
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Ramalingam, Anita, and Subalalitha Chinnaudayar Navaneethakrish. "A DISCOURSE-BASED INFORMATION RETRIEVAL FOR TAMIL LITERARY TEXTS." Journal of Information and Communication Technology 20, Number 3 (June 11, 2021): 353–89. http://dx.doi.org/10.32890/jict2021.20.3.4.
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Tamil literature has many valuable thoughts that can help the human community to lead a successful and a happy life. Tamil literary works are abundantly available and searched on the World Wide Web (WWW), but the existing search systems follow a keyword-based match strategy which fails to satisfy the user needs. This necessitates the demand for a focused Information Retrieval System that semantically analyses the Tamil literary text which will eventually improve the search system performance. This paper proposes a novel Information Retrieval framework that uses discourse processing techniques which aids in semantic analysis and representation of the Tamil Literary text. The proposed framework has been tested using two ancient literary works, the Thirukkural and Naladiyar, which were written during 300 BCE. The Thirukkural comprises 1330 couplets, each 7 words long, while the Naladiyar consists of 400 quatrains, each 15 words long. The proposed system, tested with all the 1330 Thirukkural couplets and 400 Naladiyar quatrains, achieved a mean average precision (MAP) score of 89%. The performance of the proposed framework has been compared with Google Tamil search and a keyword-based search which is a substandard version of the proposed framework. Google Tamil search achieved a MAP score of 56% and keyword-based method achieved a MAP score of 62% which shows that the discourse processing techniques improves the search performance of an Information Retrieval system.
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Ivanova, Galina, Ark Andreev, and Marwa A. Shouman. "Multi-agent System for Documents Retrieval and Evaluation Using Fuzzy Inference Systems." IAES International Journal of Artificial Intelligence (IJ-AI) 5, no. 4 (December 1, 2015): 158. http://dx.doi.org/10.11591/ijai.v5.i4.pp158-164.
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Recently the World Wide Web are packed with huge quantities of information. From this view the user finds it difficult to get the relevant informations due to the increased of their quantities. This paper uses multi-agent system uses intelligent agent in order to retrieval documents from the World Wide Web. The user by this system can easily get the relevant documents which to need them.Multi-agent System is combined with fuzzy inference system for ranking documents. The documents ranking score by cosine similarity using fuzzy inference system development and implemented much simpler than the traditional method which require mathematical equations.
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Ababneh, Mustafa Abdel-Kareem, Ghassan Kanaan, and Ayat Amin Al-Jarrah. "Enhanced Arabic Information Retrieval by Using Arabic Slang Language." Modern Applied Science 13, no. 6 (May 23, 2019): 24. http://dx.doi.org/10.5539/mas.v13n6p24.
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Slang language has become the most used language in the most countries. It has almost become the first language in the social media, websites and daily conversations. Moreover, it has become used in many conferences to clarify information and to deliver the required purpose of them. Therefore, this great spread of slang language over the world. In Jordan indicates that it is important to know meanings of Jordanian slang vocabularies. Mainly, In research system, we created a system framework allows users to restore Arabic information depending on queries that are written in slang language and this framework was made basically by context-free grammar to convert from slang to classical and vice versa. In addition, to conclude with, we will apply it on the colloquial slang in North of Jordan specifically; Irbid, Ajloun, Jerash, Mafraq and AlRamtha city. As well as, we will make a special file for Non_Arabic words and the stop words too. After we made an evaluation for the system relying on the results of recall, precision and F-measure where the results of precision about 0.63 for both researches slang and classical query, and this indicates that the system supports searching in Jordanian slang language. The purpose of this research is to enhance Arabic information retrieval, and it will be a significant resource for researchers who are interested in slang languages. As well as, it helps tie communities together.
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Chandurkar, Avani, and Ajay Bansal. "A Composite Natural Language Processing and Information Retrieval Approach to Question Answering Using a Structured Knowledge Base." International Journal of Semantic Computing 11, no. 03 (September 2017): 345–71. http://dx.doi.org/10.1142/s1793351x17400141.
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With the inception of the World Wide Web, the amount of data present on the Internet is tremendous. This makes the task of navigating through this enormous amount of data quite difficult for the user. As users struggle to navigate through this wealth of information, the need for the development of an automated system that can extract the required information becomes urgent. This paper presents a Question Answering system to ease the process of information retrieval. Question Answering systems have been around for quite some time and are a sub-field of information retrieval and natural language processing. The task of any Question Answering system is to seek an answer to a free form factual question. The difficulty of pinpointing and verifying the precise answer makes question answering more challenging than simple information retrieval done by search engines. The research objective of this paper is to develop a novel approach to Question Answering based on a composition of conventional approaches of Information Retrieval (IR) and Natural Language processing (NLP). The focus is on using a structured and annotated knowledge base instead of an unstructured one. The knowledge base used here is DBpedia and the final system is evaluated on the Text REtrieval Conference (TREC) 2004 questions dataset.
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Bouarara, Hadj Ahmed, Reda Mohamed Hamou, and Amine Abdelmalek. "Enhanced Artificial Social Cockroaches (EASC) for Modern Information Retrieval." International Journal of Cognitive Informatics and Natural Intelligence 10, no. 2 (April 2016): 65–94. http://dx.doi.org/10.4018/ijcini.2016040104.
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This article deals on an improved version of the recently developed Artificial Social Cockroaches (ASC) algorithm based on several modifications. The EASC has as input a set of artificial cockroaches and N selected shelters. It is based on a random displacement step and a set of operators (selection cockroaches, shelter attraction, congener's attraction, shelter permutation). Each cockroach must be hidden in the shelter where it feels safer (evaluation function). In the recent years with the coming of the world wide web, the amount of unstructured documents available in the digital society increases and becomes easily accessible, all this has led that satisfy the needs of users in terms of relevant information has become a substantial problem in the scientific community. The second component of the authors' study is to apply the algorithm (EASC) as an information retrieval system using multilingual pre-processing and thesaurus to solve the problems of multilingual query and searching with synonymy. The relevant documents will be rendered as a list of ranked and classified documents from the most relevant to the least relevant. Lastly the authors apply the benchmark Medline and a series of valuation measures (precision, recall, f-measure, entropy, error, accuracy, specificity, TCR, ROC) for the experimentation, also they have compared their results with the outcomes of set of existed systems (social worker bees, taboo search, genetic algorithm, simulating annealing, naïve method). The third component of the authors' system is the visualization step that ensures the presentation of the result in the form of a cobweb with some realism to be understandable by users.
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Sakurai, Kunie, and Wataru Fujibuchi. "Developing Global Cellular Information Retrieval System with Minimum Reporting Guidelines on Cellular Data for Regenerative Medicine." Genomics and Computational Biology 3, no. 2 (January 31, 2017): 50. http://dx.doi.org/10.18547/gcb.2017.vol3.iss2.e50.
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A wide range of stem cell research towards regenerative medicine has been conducted in a large number of domains in the world over the years. However, those produced data and information are not fully utilized and sometimes causes failure to be reproduced among laboratories or cell banks due to a lack of standardization of cellular assay reporting formats. To maximize a value placed on the information in stem cell and derivative cell research, we have proposed reporting guidelines for describing cellular assay data to pursue the facilitation of practical regenerative medicine named ‘Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM)’. MIACARM has been developed based on the existing Minimum Information About a Cellular Assay (MIACA) with defined taxonomy of human cell types, which allows for the description of advanced cellular experiments. MIACARM is applicable for exchanging data from not only for basic cellular assay, but also stem cell assay data that are produced and provided by cell banks, registries, or other academic institutions all over the world. And here we would like to introduce our recent progress that is developing stem cell data retrieval system based on MIACARM.
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CHANG, SHI-KUO, and ERLAND JUNGERT. "A SPATIAL/TEMPORAL QUERY LANGUAGE FOR MULTIPLE DATA SOURCES IN A HETEROGENEOUS INFORMATION SYSTEM ENVIRONMENT." International Journal of Cooperative Information Systems 07, no. 02n03 (June 1998): 167–86. http://dx.doi.org/10.1142/s021884309800009x.
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To support the retrieval, fusion and discovery of multimedia information, a spatial/temporal query language for multiple data sources is needed. In this paper we describe a spatial/temporal query language, the ∑QL, which is based upon the σ-operator sequence and in practice expressible in an SQL-like syntax. The general σ-operator and temporal σ-operator are explained, and applications of the σ-query language to vertical/horizontal reasoning and hypermapped virtual world are discussed.
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Abburu, Sunitha, and Nitant Dube. "Ontology Concept-Based Management and Semantic Retrieval of Satellite Data." Journal of Intelligent Systems 26, no. 2 (April 1, 2017): 197–213. http://dx.doi.org/10.1515/jisys-2015-0082.
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AbstractSeveral satellite data receiving and distributing centers across the world support data storage, processing, and retrieval based on satellite, sensor, product, latitude, longitude, date and time, etc. These systems address queries on satellite products that are mostly high-level concepts. A more sophisticated retrieval system that supports ontological concepts, subconcepts, and concept hierarchical queries delivers refined results that broaden the scientific horizon of the application domain. To achieve this, the current research designed and implemented an ontology concept-based satellite data management and retrieval methodology. This enhances the performance of the satellite data retrieval system and supports semantic queries. The performance of the retrieval system depends upon the strategy followed to maintain domain ontologies and satellite data instances. Three ontology-based satellite data management strategies are discussed, and their performance was evaluated by taking real and benchmark metrics. A semantic query set of 25 queries was chosen covering various concepts, subconcepts, and concept hierarchical-related queries that involve various SPARQL query constructs. The test bed is taken from real-time satellite data received from Kalpana-1 of various sizes of triple stores.
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Quan, Tho Thanh, Xuan H. Luong, Thanh C. Nguyen, and Hui Siu Cheung. "Argumentation-based schema matching for multiple digital libraries." Online Information Review 39, no. 1 (February 9, 2015): 81–103. http://dx.doi.org/10.1108/oir-02-2014-0023.
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Purpose – Most digital libraries (DL) are now available online. They also provide the Z39.50 standard protocol which allows computer-based systems to effectively retrieve information stored in the DLs. The major difficulty lies in inconsistency between database schemas of multiple DLs. The purpose of this paper is to present a system known as Argumentation-based Digital Library Search (ADLSearch), which facilitates information retrieval across multiple DLs. Design/methodology/approach – The proposed approach is based on argumentation theory for schema matching reconciliation from multiple schema matching algorithms. In addition, a distributed architecture is proposed for the ADLSearch system for information retrieval from multiple DLs. Findings – Initial performance results are promising. First, schema matching can improve the retrieval performance on DLs, as compared to the baseline technique. Subsequently, argumentation-based retrieval can yield better matching accuracy and retrieval efficiency than individual schema matching algorithms. Research limitations/implications – The work discussed in this paper has been implemented as a prototype supporting scholarly retrieval from about 800 DLs over the world. However, due to complexity of argumentation algorithm, the process of adding new DLs to the system cannot be performed in a real-time manner. Originality/value – In this paper, an argumentation-based approach is proposed for reconciling the conflicts from multiple schema matching algorithms in the context of information retrieval from multiple DL. Moreover, the proposed approach can also be applied for similar applications which require automatic mapping from multiple database schemas.
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Dumais, Susan T., and Annette L. Wright. "Reference by Name vs. Location in a Computer Filing System." Proceedings of the Human Factors Society Annual Meeting 30, no. 8 (September 1986): 824–28. http://dx.doi.org/10.1177/154193128603000821.
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The traditional name-based approach to storing and retrieving information in computers in now being supplemented on some systems by a spatial alternative – often driven by an office or desktop metaphor. These systems attempt to take advantage of the important role that location plays in retrieving objects in the real world (i.e. we must know where things are in order to retrieve them). This paper extends recent research by Jones and Dumais (1986) which used paper and pencil simulations to compare reference by name versus location. A computer filing system was developed in which folders could be stored and retrieved using combinations of location and name cues. Accuracy of location reference in a Location-only condition was initially comparable to that in a Name-only condition, but declined much more rapidly with increases in the number of objects. Adding location to name information did not improve retrieval accuracy, but was costly in terms of initial specification time. These results call into question the generality of spatial metaphors for information retrieval applications.
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Maxwell, David. "Modelling search and stopping in interactive information retrieval." ACM SIGIR Forum 53, no. 1 (June 2019): 40–41. http://dx.doi.org/10.1145/3458537.3458543.
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Searching for information when using a computerised retrieval system is a complex and inherently interactive process. Individuals during a search session may issue multiple queries, and examine a varying number of result summaries and documents per query. Searchers must also decide when to stop assessing content for relevance - or decide when to stop their search session altogether. Despite being such a fundamental activity, only a limited number of studies have explored stopping behaviours in detail, with a majority reporting that searchers stop because they decide that what they have found feels " good enough ". Notwithstanding the limited exploration of stopping during search, the phenomenon is central to the study of Information Retrieval, playing a role in the models and measures that we employ. However, the current de facto assumption considers that searchers will examine k documents - examining up to a fixed depth. In this thesis, we examine searcher stopping behaviours under a number of different search contexts. We conduct and report on two user studies, examining how result summary lengths and a variation of search tasks and goals affect such behaviours. Interaction data from these studies are then used to ground extensive simulations of interaction , exploring a number of different stopping heuristics (operationalised as twelve stopping strategies). We consider how well the proposed strategies perform and match up with real-world stopping behaviours. As part of our contribution, we also propose the Complex Searcher Model , a high-level conceptual searcher model that encodes stopping behaviours at different points throughout the search process (see Figure 1 below). Within the Complex Searcher Model, we also propose a new results page stopping decision point. From this new stopping decision point, searchers can obtain an impression of the page before deciding to enter or abandon it. Results presented and discussed demonstrate that searchers employ a range of different stopping strategies, with no strategy standing out in terms of performance and approximations offered. Stopping behaviours are clearly not fixed, but are rather adaptive in nature. This complex picture reinforces the idea that modelling stopping behaviour is difficult. However, simplistic stopping strategies do offer good performance and approximations, such as the frustration -based stopping strategy. This strategy considers a searcher's tolerance to non-relevance. We also find that combination strategies - such as those combining a searcher's satisfaction with finding relevant material, and their frustration towards observing non-relevant material - also consistently offer good approximations and performance. In addition, we also demonstrate that the inclusion of the additional stopping decision point within the Complex Searcher Model provides significant improvements to performance over our baseline implementation. It also offers improvements to the approximations of real-world searcher stopping behaviours. This work motivates a revision of how we currently model the search process and demonstrates that different stopping heuristics need to be considered within the models and measures that we use in Information Retrieval. Measures should be reformed according to the stopping behaviours of searchers. A number of potential avenues for future exploration can also be considered, such as modelling the stopping behaviours of searchers individually (rather than as a population), and to explore and consider a wider variety of different stopping heuristics under different search contexts. Despite the inherently difficult task that understanding and modelling the stopping behaviours of searchers represents, potential benefits of further exploration in this area will undoubtedly aid the searchers of future retrieval systems - with further work bringing about improved interfaces and experiences. Doctoral Supervisor Dr Leif Azzopardi (University of Strathclyde, Scotland) Examination Committee Professor Iadh Ounis (University of Glasgow, Scotland) and Dr Suzan Verberne (Leiden University, The Netherlands). Thanks to both of you for your insightful and fair questioning during the defence! Availability This thesis is available to download from http://www.dmax.org.uk/thesis/, or the University of Glasgow's Enlighten repository - see http://theses.gla.ac.uk/41132/. A Quick Thank You Five years of hard work has got me to the point at which I can now submit the abstract of my doctoral thesis to the SIGIR Forum. There have been plenty of ups and downs, but I'm super pleased with the result! Even though there is only a single name on the front cover of this thesis, there are many people who have helped me get to where I am today. You all know who you are - from my friends and family, those who granted me so many fantastic opportunities to travel and see the world - and of course, to Leif. Thanks to all of you for confiding your belief and trust in me, even when I may have momentarily lost that belief and trust in myself. This thesis is for you all.
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Darma Putra, I. Ketut Gede, Dewa Made Sri Asra, I. Gusti Ngurah Dwiva Hardijaya, I. Gede Galang Surya Prabawa, and I. Made Aris Satia Widiatmika. "Medical vision: web and mobile medical image retrieval system based on google cloud vision." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (December 1, 2020): 5974. http://dx.doi.org/10.11591/ijece.v10i6.pp5974-5984.
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The application of information technology is rapidly utilized in the medical system. There is also a massive development in the automatic method for recognizing and detecting objects in the real world. In this study, we present a system called Medical Vision which is designed for people who has no expertise in medical. Medical Vision is a web and mobile-based application to give an initial knowledge in a medical image. This system has 5 features; object detection, web detection, object labeling, safe search, and image properties. These features are run by embedding Google Vision API in the system. We evaluate this system by observing the result of some medical images which inputted into the system. The results showed that our system presents a promising performance and able to give relevant information related to the given image.
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Metzler, Donald, Yi Tay, Dara Bahri, and Marc Najork. "Rethinking search." ACM SIGIR Forum 55, no. 1 (June 2021): 1–27. http://dx.doi.org/10.1145/3476415.3476428.
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When experiencing an information need, users want to engage with a domain expert, but often turn to an information retrieval system, such as a search engine, instead. Classical information retrieval systems do not answer information needs directly, but instead provide references to (hopefully authoritative) answers. Successful question answering systems offer a limited corpus created on-demand by human experts, which is neither timely nor scalable. Pre-trained language models, by contrast, are capable of directly generating prose that may be responsive to an information need, but at present they are dilettantes rather than domain experts - they do not have a true understanding of the world, they are prone to hallucinating, and crucially they are incapable of justifying their utterances by referring to supporting documents in the corpus they were trained over. This paper examines how ideas from classical information retrieval and pre-trained language models can be synthesized and evolved into systems that truly deliver on the promise of domain expert advice.
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Alksasbeh, Malek, Tamer Abukhalil, Bassam A. Y. Alqaralleh, and Mohammed Al-kaseasbeh. "Smart job searching system based on information retrieval techniques and similarity of fuzzy parameterized sets." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (February 1, 2021): 636. http://dx.doi.org/10.11591/ijece.v11i1.pp636-645.
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Job searching for the proper vacancy among several choices is one of the most important decision-making problems. The necessity of dealing with uncertainty in such real-world problems has been a long-term research challenge which has originated from different methodologies and theories. The main contribution of this work is to match the applicant curriculum vitae (CV) with the best available job opportunities based on certain criteria. The proposed job searching system (JSS) implements a series of approaches which can be broken down into segmentation, tokenization, part of speech, gazetteer, and fuzzy inference to extract and arrange the required data from the job announcements and CV. Moreover, this study designs a fuzzy parameterized structure to store such data as well as a measuring tool to calculate the degree of similarity between the job requirements and the applicant’s CV. In addition, this system analyses the computed similarity scores in order to get the optimal job opportunities for the job seeker in descending order. The performance evaluation of the proposed system shows high recall and precision percentages for the matching process. The results also confirm the viability of the JSS approach in handling the fuzziness that is associated with the problem of job searching.
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Tsou, Ming-Cheng. "Geographic Information Retrieval and Text Mining on Chinese Tourism Web Pages." International Journal of Information Technology and Web Engineering 5, no. 1 (January 2010): 56–75. http://dx.doi.org/10.4018/jitwe.2010010104.
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The World Wide Web (WWW) offers an enormous wealth of information and data, and assembles a tremendous amount of knowledge. Much of this knowledge, however, comprises either non-structured data or semistructured data. To make use of these unexploited or underexploited resources more efficiently, the management of information and data gathering has become an essential task for research and development. In this paper, the author examines the task of researching a hostel or homestay using the Google search web service as a base search engine. From the search results, mining, retrieving and sorting out location and semantic data were carried out by combining the Chinese Word Segmentation System with text mining technology to find geographic information gleaned from web pages. The results obtained from this particular searching method allowed users to get closer to the answers they sought and achieve greater accuracy, as the results included graphics and textual geographic information. In the future, this method may be suitable for and applicable to various types of queries, analyses, geographic data collection, and in managing spatial knowledge related to different keywords within a document.
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Kim, Yongkwon, Heejung Yang, and Chin-Wan Chung. "SEDRIS Transmittal Storing and Retrieval System using Relational Databases." Journal of Database Management 25, no. 4 (October 2014): 38–65. http://dx.doi.org/10.4018/jdm.2014100103.
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Modeling and simulation (M&S) are widely used for design, analysis, and optimization of complex systems and natural phenomena in various areas such as the defense industry and the weather system. In many cases, the environment is a key part of complex systems and natural phenomena. It includes physical aspects of the real world which provide the context for a specific simulation. Recently, several simulation systems are integrated to work together when they have needs for exchanging information. Interoperability of heterogeneous simulations depends heavily on sharing complex environmental data in a consistent and complete manner. SEDRIS (Synthetic Environmental Data Representation and Interchange Specification) is an ISO standard for representation and interchange of environmental data and widely adopted in M&S area. As the size of the simulation increases, the size of the environmental data which should be exchanged between simulations increases. Therefore, an efficient management of the environmental data is very important. In this paper, the authors propose storing and retrieval methods of SEDRIS transmittals using a relational database system in order to be able to retrieve data efficiently in the environmental data server cooperating with many heterogeneous distributed simulations. By analyzing the structure and the content of SEDRIS transmittals, relational database schemas are designed. To reduce query processing time of SEDRIS transmittals, direct storing and retrieval methods which do not require the type conversion of SEDRIS transmittals are proposed. Experimental analyses are conducted to show the efficiency of the proposed approach. The results confirm that the proposed approach greatly reduces the storing time and retrieval time compared to comparison approaches.
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N. Karanikolas, Nikitas, and Michael Vassilakopoulos. "Comparison of Post-Relational and Object-Relational modelling for real-world database applications." Journal of Systems and Information Technology 16, no. 4 (November 4, 2014): 313–40. http://dx.doi.org/10.1108/jsit-05-2014-0034.
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Purpose – The purpose of this paper is to compare the use of two Object-Relational models against the use of a post-Relational model for a realistic application. Although real-world applications, in most cases, can be adequately modeled by the Entity-Relationship (ER) model, the transformation to the popular Relational model alters the representation of structures common in reality, like multi-valued and composite fields. Alternative database models have been developed to overcome these shortcomings. Design/methodology/approach – Based on the ER model of a medical application, this paper compares the information representation, manipulation and enforcement of integrity constraints through PostgreSQL and Oracle, against the use of a post-Relational model composed of the Conceptual Universal Database Language (CUDL) and the Conceptual Universal Database Language Abstraction Level (CAL). Findings – The CAL/CUDL pair, although more periphrastic for data definition, is simpler for data insertions, does not require the use of procedural code for data updates, produces clearer output for retrieval of attributes, can accomplish retrieval of rows based on conditions that address composite data with declarative statements and supports data validation for relationships between composite data without the need for procedural code. Research limitations/implications – To verify, in practice, the conclusions of the paper, complete implementation of a CAL/CUDL system is needed. Practical implications – The use of the CAL/CUDL pair would advance the productivity of database application development. Originality/value – This paper highlights the properties of realistic database-applications modelling and management that are desirable by developers and shows that these properties are better satisfied by the CAL/CUDL pair.
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Rahmawati, Yuli. "Digital Preservation of Photo Journalism (Case Study of the Kompas Daily)." Record and Library Journal 1, no. 2 (January 2, 2017): 183. http://dx.doi.org/10.20473/rlj.v1i2.1170.
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Newspaper provides many information from politics, economics, cultures, and sports for society. Newspaper reports important events in the world. Besides the news, there also some pictures portraying those events. So readers will easilly to see what happen visually. According to the journalistic concept, photos has comply as a reference source. Kompas daily, firstly published on 1965, and published many historical photos both paper and digital format. The digitize process is done by kompas information center, through scanning, indexing, and syncronizing. Two most important issues are standardization of metadata and integrated retrieval systems. Standarization of metadata was design based on publishing standard, IIM and was modified with IPTC news codes. Information retrieval systems was built by inserting information about publication. This system connecting photo creating data, storage systems, and retrieval systems. For kompas daily, the availability if digital object such as photo can trigger the innitiatives of re-publishing historical momments in thematical rubrics. Digitize will give benefits for information disemination.
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Cao, Yu, Shawn Steffey, Jianbiao He, Degui Xiao, Cui Tao, Ping Chen, and Henning Müller. "Medical Image Retrieval: A Multimodal Approach." Cancer Informatics 13s3 (January 2014): CIN.S14053. http://dx.doi.org/10.4137/cin.s14053.
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Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of medical image data are captured and recorded in a digital format during cancer care and cancer research. Facing such an unprecedented volume of image data with heterogeneous image modalities, it is necessary to develop effective and efficient content-based medical image retrieval systems for cancer clinical practice and research. While substantial progress has been made in different areas of content-based image retrieval (CBIR) research, direct applications of existing CBIR techniques to the medical images produced unsatisfactory results, because of the unique characteristics of medical images. In this paper, we develop a new multimodal medical image retrieval approach based on the recent advances in the statistical graphic model and deep learning. Specifically, we first investigate a new extended probabilistic Latent Semantic Analysis model to integrate the visual and textual information from medical images to bridge the semantic gap. We then develop a new deep Boltzmann machine-based multimodal learning model to learn the joint density model from multimodal information in order to derive the missing modality. Experimental results with large volume of real-world medical images have shown that our new approach is a promising solution for the next-generation medical imaging indexing and retrieval system.
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Liang, Yu, and Chao Wu. "A Hadoop-enabled sensor-oriented information system for knowledge discovery about target-of-interest." Facta universitatis - series: Electronics and Energetics 29, no. 3 (2016): 437–50. http://dx.doi.org/10.2298/fuee1603437l.
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To obtain a real-time situational awareness about the specific behavior of targets-of-interest using large-scale sensory data-set, this paper presents a generic sensor-oriented information system based on Hadoop Ecosystem, which is denoted as SOIS-Hadoop for simplicity. Robotic heterogeneous sensor nodes bound by wireless sensor network are used to track things-of-interest. Hadoop Ecosystem enables highly scalable and fault-tolerant acquisition, fusion and storage, retrieval, and processing of sensory data. In addition, SOIS-Hadoop employs temporally and spatially dependent mathematical model to formulate the expected behavior of targets-of-interest, based on which the observed behavior of targets can be analyzed and evaluated. Using two real-world sensor-oriented information processing and analysis problems as examples, the mechanism of SOIS-Hadoop is also presented and validated in detail.
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Peruginelli, Ginevra. "Accessing Legal Information Across Boundaries: A New Challenge." International Journal of Legal Information 37, no. 3 (2009): 276–305. http://dx.doi.org/10.1017/s0731126500005345.
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AbstractIn the actual multilingual and multicultural environment there is a significant need, in the academic world, in the legal profession, in business settings as well as in the context of public administration services to citizens, of common understanding and exchange of legal concepts of the various legal systems. At the same time, there is a strong pressure for the preservation of their basic sense and value. Both requirements are quite difficult to meet, and they are complicated by the complexity of legal language and by the variety of modalities used to express law within the various legal systems. Unlike a number of technical and scientific disciplines where a fair correspondence exists between concepts across languages, serious difficulties arise in interpreting law across countries and languages. This is largely due to the system-bound nature of legal terminology. This paper focuses on cross-language retrieval systems’ ability to facilitate access to legal information across different languages and legal orders. As such, issues are addressed relating to linguistics and translation theory, comparative law, theory of law, as well as natural language processing techniques, while some recommendations are provided with the aim to contribute to cross-language retrieval of law.
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Lai, Jingjuan, Hanxiong Chen, and Yuzuru Fujiwara. "An information-base system based on the self-organization of concepts represented by terms." Terminology 3, no. 2 (January 1, 1996): 313–34. http://dx.doi.org/10.1075/term.3.2.05lai.
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Since multimedia information is complicated inform and vast in amount, conventional database-management systems or knowledge-base-management systems are hardly appropriate to store, manage, and utilize expertise effectively. A new type of information model is developed according to an analysis of the information used by specialists for research and development, and a prototype information-management system is implemented. The system consists of three parts: (1) flexible storage without special constraints on format and representation; (2) self-organization of terms by extracting semantic relationships among them; and (3) advanced utilization functions such as analogical reasoning, inductive inference, abductive inference, as well as information retrieval, numerical calculation, and deductive inference. Thesauri which are automatically compiled and refined are used as conceptual structures of the information. Thus obtained, conceptual structures can be used for sophisticated applications, including analogical reasoning, induction, and abduction. The principle of open-world reasoning and an algorithm of analogy are developed. An example of practical application to polymer information is presented.
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Sathish, T., J. Jayaprakash, and N. Thinakaran. "Multi-Agent Based Disassembly Sequencing and Planning for End-of-Life Products." Applied Mechanics and Materials 813-814 (November 2015): 1193–97. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.1193.
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Recently, Multi-agent system has been considered as an important approach for solving real world industrial problems. JADE based Multi agent system offers wide range of applications in supply chain management. In Particular, sharing and retrieval of information within the agent and between agents in disassembly sequencing and planning in reverse logistic system. This paper proposed a simulation study of implementing Multi-agent system for sequencing and process planning in disassembly problem with various electronics industrial products.
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KECHID, SAMIR, and HABIBA DRIAS. "PERSONALIZING THE SOURCE SELECTION AND THE RESULT MERGING PROCESS." International Journal on Artificial Intelligence Tools 18, no. 02 (April 2009): 331–54. http://dx.doi.org/10.1142/s0218213009000159.
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The World Wide Web knows an incessant and very fast development. Currently, finding useful information on the Web is a time consuming process. In this paper, we present PIRS a personalized Information Retrieval System in a distributed environment. Most prior research in distributed information access focused on selecting and merging information that has the most relevant content according to the query but ignored the user's specific needs. The underlying idea is that different users have different backgrounds, goals and interests when seeking information and thus, the same query may cover different specific information needs according to who emitted it. However, with the ever expanding Web, users are faced with a huge number of information resources. Consequently, such query-based information access strategies lead to inaccurate query results. PIRS extends the state of the art in a Web-based information retrieval system in distributed environment. First, it develops models for representing both user and information source using feature based profiles. Second, PIRS expands a user query according to his profile. Third, it develops algorithms for source selection and results merging that personalize the computation of the relevance score of a document in response to the user's query. PIRS has been experimented with several known information source. The experimental results obtained show the effectiveness of our approach.
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Bilquees, Samina, Hassan Dawood, Hussain Dawood, Nadeem Majeed, Ali Javed, and Muhammad Tariq Mahmood. "Noise Resilient Local Gradient Orientation for Content-Based Image Retrieval." International Journal of Optics 2021 (July 14, 2021): 1–19. http://dx.doi.org/10.1155/2021/4151482.
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In a world of multimedia information, where users seek accurate results against search query and demand relevant multimedia content retrieval, developing an accurate content-based image retrieval (CBIR) system is difficult due to the presence of noise in the image. The performance of the CBIR system is impaired by this noise. To estimate the distance between the query and database images, CBIR systems use image feature representation. The noise or artifacts present within the visual data might confuse the CBIR when retrieving relevant results. Therefore, we propose Noise Resilient Local Gradient Orientation (NRLGO) feature representation that overcomes the noise factor within the visual information and strengthens the CBIR to retrieve accurate and relevant results. The proposed NRLGO consists of three steps: estimation and removal of noise to protect the local visual structure; extraction of color, texture, and local contrast features; and, at the end, generation of microstructure for visual representation. The Manhattan distance between the query image and the database image is used to measure their similarity. The proposed technique was tested using the Corel dataset, which contains 10000 images from 100 different categories. The outcomes of the experiment signify that the proposed NRLGO has higher retrieval performance in comparison with state-of-the-art techniques.
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Кульпина [Kul'pina], Валентина Г. [Valentina G. ]., and Виктор A. [Viktor A. ]. Татаринов [Tatarinov]. "Синонимия ключевых слов в системе славистической библиографии как эпистемологические рефлексы развития лингвистической терминологии." Studia z Filologii Polskiej i Słowiańskiej 49 (December 31, 2014): 188–202. http://dx.doi.org/10.11649/sfps.2014.018.
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Synonymy of keywords in the bibliographic system of the Slavic linguistics as epistemological reflexes of linguistic terminology’s developmentIn the article the features of keyword synonymy in Bibliographic database of world Slavic linguistics publications iSybislaw are considered. The issue of keywords in information retrieval system is examined in connection with synonymy in linguistic terminology. There are established relations between general scientific terms and keywords of Slavic linguistics. Some applied lingvodidactic and lingvopragmatic aspects of keywords’ compiling are also presented.
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Jordan, R. W., and J. C. Green. "A check-list of the extant Haptophyta of the world." Journal of the Marine Biological Association of the United Kingdom 74, no. 1 (February 1994): 149–74. http://dx.doi.org/10.1017/s0025315400035736.
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Members of the Haptophyta from British waters have been listed in a number of check-lists between 1953 and 1976 (Parke, 1953; Parke & Dixon, 1964, 1968, 1976), but there has been no attempt to draw the records together on a world-wide basis. However, a recent review of the classification system of the coccolithophorids included a check-list of all species thought to be extant from marine, coastal and freshwater habitats (Jordan & Kleijne, 1994). At the same time, two ambitious projects, theEncyclopaedia of Algal Genera(ed. B.C. Parker, in preparation) and the preparation of a CD-ROM retrieval system for information on algal and protist groups by the Expert-Centre for Taxonomic Identification (ETI), have required further collation of the available records (see Note 1), and, as a result, we have now extended the scheme of Jordan & Kleijne (1994) to include a global list of all extant haptophytes.
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Zalkow, Frank, Julian Brandner, and Meinard Müller. "Efficient Retrieval of Music Recordings Using Graph-Based Index Structures." Signals 2, no. 2 (May 17, 2021): 336–52. http://dx.doi.org/10.3390/signals2020021.
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Flexible retrieval systems are required for conveniently browsing through large music collections. In a particular content-based music retrieval scenario, the user provides a query audio snippet, and the retrieval system returns music recordings from the collection that are similar to the query. In this scenario, a fast response from the system is essential for a positive user experience. For realizing low response times, one requires index structures that facilitate efficient search operations. One such index structure is the K-d tree, which has already been used in music retrieval systems. As an alternative, we propose to use a modern graph-based index, denoted as Hierarchical Navigable Small World (HNSW) graph. As our main contribution, we explore its potential in the context of a cross-version music retrieval application. In particular, we report on systematic experiments comparing graph- and tree-based index structures in terms of the retrieval quality, disk space requirements, and runtimes. Despite the fact that the HNSW index provides only an approximate solution to the nearest neighbor search problem, we demonstrate that it has almost no negative impact on the retrieval quality in our application. As our main result, we show that the HNSW-based retrieval is several orders of magnitude faster. Furthermore, the graph structure also works well with high-dimensional index items, unlike the tree-based structure. Given these merits, we highlight the practical relevance of the HNSW graph for music information retrieval (MIR) applications.
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Tomoyose, Kazumi, and Ana Carolina Simionato Arakaki. "Classification on the Web: an analysis of Dewey Linked Data." Palabra Clave (La Plata) 9, no. 2 (April 10, 2020): e092. http://dx.doi.org/10.24215/18539912e092.
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With the availability of information in the World Wide Web its access and retrieval by the users is facilitated, and the Library and Information Science (LIS) field’s knowledge and techniques can be applied to this environment in order to help with the process. The present study is descriptive, qualitative and exploratory, based on bibliographical sources, in which it was explored how the Classification discipline interacts with Linked Data, focusing on the analysis of Dewey Linked Data. From four catalogs analyzed, referred to in the literature as adhering to Dewey Linked Data, only two actually has links in their records redirecting to the system. Despite this, its presence in The Linked Open Data Cloud appears as a positive factor in its dissemination, since it boosts its visibility. It is concluded that the Classification discipline allows the thematic standardization of information resources, so that there is uniformity in the Web environment and quality retrieval of information, while promoting interoperability between data in the Linked Data context. The standardization of metadata values using classifications optimizes the representation of information and its retrieval in the Web, while also providing the reuse of data. In addition, studies that align the area of Library and Information Science with the Semantic Web and its technologies can provide new perspectives for the area, as well as contemplate the users’ always changing needs, thus, fulfilling the objective of the field.
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Карпіловська [Karpilovs’ka], Євгенія A. [IEvheniia A. ]. "Роль термінів-непрямих номінацій у тезаурусі інформаційно-пошукової системи славістичного мовознавства." Studia z Filologii Polskiej i Słowiańskiej 49 (December 31, 2014): 150–63. http://dx.doi.org/10.11649/sfps.2014.015.
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The role of terms-indirect nominations in the thesaurus of information retrieval system of the Slavic linguisticsThe article examines some of the problems of modern information retrieval systems in the Slavic studies, in particular, one of the most representative – Bibliographic Database World Slavonic Linguistics, created in the Institute of Slavic Studies of PAS under the leadership of Dr. Z. E. Rudnik-Karwatova. The author focuses on the ways to improve the linguistic support of such systems and increase the efficiency of image for information searching. They are connected with the study of the keywords in the annotations of scientific publications within database, as well as in the whole of modern Slavic linguistic terminology. This study enables us not only to select a comprehensive number of terms for each linguistic discipline, school, or problem, but also to determine their variability as well as their relationship with other terms of modern-day Slavic linguistics. The result of such study should be information retrieval thesaurus of modern Slavic linguistic terminology.Special attention in the article is paid to the role of indirect nomination in modern Slavic linguistic terminology, system-organizing function of the terms with indirect semantics, resources and modes of their creating in different Slavonic languages, the correlation between indirect nomination and figurative one as well as the terms which indicate the place of object in some classifications (see Ukrainian середній рід) or gradual opposition (see Polish semileksem).
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Chen, Kune-Yao, and Sheng-Yuan Yang. "A Cloud Information Monitoring and Recommendation Multi-Agent System with Friendly Interfaces for Tourism." Applied Sciences 9, no. 20 (October 17, 2019): 4385. http://dx.doi.org/10.3390/app9204385.
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The tourism statistics of Taiwan’s government state that the tourism industry is one of the fastest growing economic sources in the world. Therefore, the demand for a tourism information system with a friendly interface is growing. This research implemented the construction of a cloud information service platform based on numerous practical developments in the Dr. What-Info system (i.e., a master multi-agent system on what the information is), which developed universal application interface (UAI) technology based on the Taiwan government’s open data with the aim of connecting different application programming interfaces (APIs) according to different data formats and intelligence through local GPS location retrieval, in support of three-stage intelligent decision-making and a three-tier address-based UAI technology comparison. This paper further developed a novel citizen-centric multi-agent information monitoring and recommendation system for the tourism sector. The proposed system was experimentally demonstrated as a successful integration of technology, and stands as an innovative piece of work in the literature. Although there is room for improvement in experience and maybe more travel-related agents, the feasibility of the proposed service architecture has been proven.
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D'Souza, Melroy E., and Joel S. Greenstein. "A Field Study of the Product Development Process as a First Step in the Design of a System to Support Concurrent Engineering." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 15 (October 1996): 781–90. http://dx.doi.org/10.1177/154193129604001507.
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This paper reports the results of the first phase of an ongoing research study undertaken at a real-world production facility. The purpose of this phase was to use a context-based, ethnographic approach to understand and identify issues relevant to the design of a system to support the product development process. The results of this study yielded information that could not have been obtained by a formal, controlled study in a laboratory setting. In general, the results suggest a need for more efficient storage and retrieval of critical information, for increased communication of that information, and for alternative media to supplement paper-based communication. It appears that a computer-based system could be designed to support a more responsive, more collaborative approach to the product development process.