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Journal articles on the topic 'World Transindex (Information retrieval system)'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

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1

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 i

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Aparna, T., Shivani D, Pratiksha B, Nuzzath Tahreen, and Anusha T. "Publications Information Retrieval and Management System." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 810–15. http://dx.doi.org/10.22214/ijraset.2023.54661.

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Abstract: In a world where technology is advancing rapidly, it is a difficult task to manually maintain research profiles in any educational institution. Faculty have to go through an exhaustive ordeal to keep up to pace with the ever-changing demands of the publication committees. Hence, there is a significant need for an interface allowing researchers to easily sort, maintain and download their list of publications with minimum work from the user end. This paper attempts to set up an interface that would use web scraping with selenium and python modules to link a researcher’s list of publica

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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 (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 syste

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Kovalcik, Justin, and Mike Villalobos. "Automated Storage & Retrieval System." Information Technology and Libraries 38, no. 4 (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 w

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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 (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

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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 (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

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Chen, Yuye. "Intelligent information retrieval based on Ontology." Frontiers in Computing and Intelligent Systems 2, no. 1 (2022): 123–25. http://dx.doi.org/10.54097/fcis.v2i1.3181.

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Traditional search engines can no longer meet the increasing amount of information in today's world, and often face problems such as blurred results and long search times for some queries. And the addition of ontology makes information retrieval more intelligent, so that information data between various fields can be shared, to achieve the purpose of getting the answers users want quickly and accurately. This paper firstly introduces the definition of ontology and analyzes the traditional information retrieval system, and finally summarizes some experimental results in recent years in ontology

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Wu, Feng, Yanting Ji, and Wenping Shi. "Design of a Computer-Based Legal Information Retrieval System." Computational Intelligence and Neuroscience 2022 (May 12, 2022): 1–10. http://dx.doi.org/10.1155/2022/6942773.

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In today’s society, people’s lives are increasingly inseparable from computer information. Due to the continuous improvement of technology and the rapid development of internet technology, the network environment is becoming more and more complex, which makes it easy to cause loopholes in the information retrieval system when people use the network. Therefore, it is especially important to search for legal knowledge by computer. In order to adapt to this change and demand, we need a retrieval system to provide the corresponding search function, legal information content, and management and oth

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Gao, Ruoyuan. "Toward a fairer information retrieval system." ACM SIGIR Forum 55, no. 1 (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 expo

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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 (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

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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 (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 represent

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Ni, Tong. "An Intelligent Retrieval Algorithm for Digital Literature Promotion Information Based on TRS Information Retrieval." International Journal of Information Technologies and Systems Approach 16, no. 2 (2023): 1–14. http://dx.doi.org/10.4018/ijitsa.318458.

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The world has entered the information age, and one of the main factors of social development is various information resources. Word processing is one of the first information technologies to be developed that has grown very rapidly and successfully. As a category of multimedia resources, documents are widely used in institutions, such as corporations, governments, and digital libraries. Traditional search technology has been unable to meet the needs of this development, and how to find information in this sea of digital information has become an urgent problem. Therefore, this study has conduc

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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 (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

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Zeynali-Tazehkandi, Mahdi, and Mohsen Nowkarizi. "A Dialectical Approach to Search Engine Evaluation." Libri 70, no. 3 (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

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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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Gilman, E. F., and H. Beck. "The CD-ROM–World Wide Web Hybrid." HortScience 32, no. 3 (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

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Sathiyamoorthi, V. "Improving the Performance of an Information Retrieval System through WEB Mining." Information Technologies and Control 14, no. 2 (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 a

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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 (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 distribu

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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 (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

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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 (2019): 127–34. https://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 amount of information generated in different languages and disseminated via the World Wide Web and social media platforms is growing exponentially. It is important to ensure that online information resources and services are efficiently and equitably accessible to all users, regardless of their linguistic and cultural backgrounds. The need for exploring and building more specialized information systems that enable spea

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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 (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 mod

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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 (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 in

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Semmar, Nasreddine, and Faiza Elkateb-Gara. "A Cross-language Information Retrieval System Based On Linguistic And Statistical Approaches." AL-Lisaniyyat 19, no. 2 (2013): 1–10. https://doi.org/10.61850/allj.v19i2.479.

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As the number of non-English documents that are available on the World Wide Web and in corporate repositories increases, the ability to quickly and effectively search and view documents across language boundaries will continue to grow in importance. Cross-language information retrieval techniques allow searchers access to a wider range of material without requiring specialized knowledge of the content or the languages in the database. We present in this paper a cross-language information retrieval system based on a deep linguistic analysis of documents and queries and a statistical model which

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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 (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 sche

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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.

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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 (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' I

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Vanita, B. Mhaske, and S. Kadam Rhishikesh. "Rag In Research: Exploring The Intersection of Retrieval and Generation." International Journal of Advance and Applied Research S6, no. 22 (2025): 929–35. https://doi.org/10.5281/zenodo.15533920.

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<em>In today’s world of information overload, it’s essential to manage data efficiently and get useful insights from various sources. Retrieval-Augmented Generation (RAG) systems assist by combining methods to retrieve relevant information with models that generate clear and precise answers based on that information. This approach makes it easier to access and understand the information we need. By breaking documents into chunks and embedding them, the system enables fast and targeted retrieval of relevant information from large document collections, saving time compared to reading

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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 (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

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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 (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 satel

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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 (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

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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 (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 t

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Lanagan, James, Paul Ferguson, Neil O'Hare, and Alan Smeaton. "Coping With Noise in a Real-World Weblog Crawler and Retrieval System." Proceedings of the International AAAI Conference on Web and Social Media 4, no. 1 (2010): 271–74. http://dx.doi.org/10.1609/icwsm.v4i1.14040.

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In this paper we examine the effects of noise when creating a real-world weblog corpus for information retrieval. We focus on the DiffPost (Lee et al. 2008) approach to noise removal from blog pages, examining the difficulties encountered when crawling the blogosphere during the creation of a real-world corpus of blog pages. We introduce and evaluate a number of enhancements to the original DiffPost approach in order to increase the robustness of the algorithm. We then extend DiffPost by looking at the anchor-text to text ratio, and discover that the time-interval between crawls is more import

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Ben Ayed, Alaidine, Ismaïl Biskri, and Jean-Guy Meunier. "An End-to-End Efficient Lucene-Based Framework of Document/Information Retrieval." International Journal of Information Retrieval Research 12, no. 1 (2022): 1–14. http://dx.doi.org/10.4018/ijirr.289950.

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In the context of big data and the 4.0 industrial revolution era, enhancing document/information retrieval frameworks efficiency to handle the ever‐growing volume of text data in an ever more digital world is a must. This article describes a double-stage system of document/information retrieval. First, a Lucene-based document retrieval tool is implemented, and a couple of query expansion techniques using a comparable corpus (Wikipedia) and word embeddings are proposed and tested. Second, a retention-fidelity summarization protocol is performed on top of the retrieved documents to create a shor

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Kuruva Urukundhu and H. Ateeq Ahmed. "AGRIRESPONSE: A REAL-TIME INTELLIGENT QUERY SYSTEM FOR NATIONWIDE AGRICULTURAL ASSISTANCE." International Journal of Engineering Research and Science & Technology 21, no. 2 (2025): 1094–102. https://doi.org/10.62643/ijerst.2025.v21.i2.pp1094-1102.

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Information science developments may be very helpful in advancing the country's sustainable agricultural objectives. In order to address the need for prompt assistance for Indian farmers throughout the country, we provide a framework for a text-based query-response generation system. Building a knowledge base that can respond to enquiries about plant protection from a wide range of farmers is one of the main problems in developing such systems. The call logs from the nationwide farmers' helpline network over the previous eight years are gathered and analysed to provide the necessary informatio

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Metzler, Donald, Yi Tay, Dara Bahri, and Marc Najork. "Rethinking search." ACM SIGIR Forum 55, no. 1 (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 th

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Vuong, Pham, Huy Le Hoang, Phu Ngo Thinh, Nguyen Binh, Nguyen Diem, and D. Nguyen Hien. "Enhancing legal research through knowledge-infusedinformation retrieval for Vietnamese labor law." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 4 (2024): 3962–73. https://doi.org/10.11591/ijai.v13.i4.pp3962-3973.

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The role of intelligent information retrieval systems in legal research optimization has become increasingly recognized. There are many methods for exhibiting advancements in the proficient retrieval of legal documents. However, those methods fail to tackle the specific challenges encountered in real-world labor law searches. This research breaks new ground in Vietnamese labor law retrieval by leveraging a comprehensive dataset of 300,000 documents across diverse categories (20 document types and 27 legal fields) to train and evaluate retrieval models specifically designed for Vietnamese labor

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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 (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 b

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Rahmawati, Yuli. "Digital Preservation of Photo Journalism (Case Study of the Kompas Daily)." Record and Library Journal 1, no. 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 standardiz

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Balaka, Muhammad Imam Luthfi, David Alexander, Qiming Wang, Yue Gong, Adila Krisnadhi, and Raul Castro Fernandez. "Pneuma : Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System." Proceedings of the ACM on Management of Data 3, no. 3 (2025): 1–28. https://doi.org/10.1145/3725337.

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Finding relevant tables among databases, lakes, and repositories is the first step in extracting value from data. Such a task remains difficult because assessing whether a table is relevant to a problem does not always depend only on its content but also on the context, which is usually tribal knowledge known to the individual or team. While tools like data catalogs and academic data discovery systems target this problem, they rely on keyword search or more complex interfaces, limiting non-technical users' ability to find relevant data. The advent of large language models (LLMs) offers a uniqu

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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 (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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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 (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 inc

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Yumuşak, Semih. "An Information-Theoretic Framework for Retrieval-Augmented Generation Systems." Electronics 14, no. 15 (2025): 2925. https://doi.org/10.3390/electronics14152925.

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Retrieval-Augmented Generation (RAG) systems have emerged as a critical approach for enhancing large language models with external knowledge, yet the field lacks systematic theoretical analysis for understanding their fundamental characteristics and optimization principles. A novel information-theoretic approach for analyzing and optimizing RAG systems is introduced in this paper by modeling them as cascading information channel systems where each component (query encoding, retrieval, context integration, and generation) functions as a distinct information-theoretic channel with measurable cap

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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 (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 In

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Vira Bahrudin, Ardyansyah, Arwin Datumaya Wahyudi Sumari, and Muhammad Afif Hendrawan. "Sistem Temu Kembali Informasi Pesawat Udara Militer Menggunakan Jaringan Syaraf Tiruan Back Propagation Network." Jurnal Teknik Ilmu dan Aplikasi 4, no. 2 (2023): 45–49. http://dx.doi.org/10.33795/jtia.v4i2.2851.

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Various war events in various parts of the world between two or more countries along with various high-tech war equipment such as military aircraft arouse curiosity to find out more about these war equipment, getting this information is still hampered by the lack of existing information, a lot of information is available in printed form, in museums managed by the Indonesian National Army (TNI), and in the form of books about military aircraft. The design of a Military Aircraft Information Retrieval System Using Machine Learning is aimed at providing information to the public about types of mil

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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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Jathe, Narendra. M., and Hemant S. Mahalle. "A Comparative Study of Boolean Model and Vector Space Model (Vsm) For Information Aggregation from Various Websites Using Web Content Mining Techniques: A Matlab Approach." International Journal of Advance and Applied Research 5, no. 23 (2024): 392–400. https://doi.org/10.5281/zenodo.13637383.

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<strong>Abstract:</strong>             The rapid growth of World Wide Web and the abundance of documents and different forms of information available on it, has recorded the need for good Information Retrieval technique. By and large, three classic framework models have been used in the process of retrieving information: Boolean and Vector Space and Probabilistic. The (standard) Boolean model of information retrieval is a classical information retrieval (IR) model and, at the same time, the first and most-adopted one. The BIR is based on B

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Chatterjee, Shubham. "Answering Topical Information Needs Using Neural Entity-Oriented Information Retrieval and Extraction." ACM SIGIR Forum 56, no. 2 (2022): 1–2. http://dx.doi.org/10.1145/3582900.3582926.

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In the modern world, search engines are an integral part of human lives. The field of Information Retrieval (IR) is concerned with finding material (usually documents) of an unstructured nature (usually text) that satisfies an information need (query) from within large collections (usually stored on computers). The search engine then displays a ranked list of results relevant to our query. Traditional document retrieval algorithms match a query to a document using the overlap of words in both. However, the last decade has seen the focus shifting to leveraging the rich semantic information avai

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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 (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 sys

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I, Ketut Gede Darma Putra, Made Sri Arsa Dewa, Gusti Ngurah Dwiva Hardijaya I, Gede Galang Surya Prabawa I, and Made Aris Satia Widiatmika I. "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 (2020): 5974–84. https://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 Vi- sion 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 Vi- sion API in the

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Subhakarrao G, B Sujatha, L Sumalatha. "An Attention-Based Deep Learning System for Text Detection and Information Retrieval from Images." Journal of Information Systems Engineering and Management 10, no. 14s (2025): 01–08. https://doi.org/10.52783/jisem.v10i14s.1988.

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This paper presents a new automatic approach to the extraction of textual information from natural photographs, addressing issues such as cluttered backgrounds, uneven lighting, and distortions. The system combines advanced computer vision techniques with OCR to detect, extract, and process text embedded in complex scenes. A deep learning-based text detection module identifies the text regions with high precision, and a robust OCR pipeline is used for extracting the detected text into a machine-readable form.Experimental evaluations indicate how well the system works under practical real-world

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