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Journal articles on the topic 'Web (Information retrieval system) – Science'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

T, Padmavathi. "Comparative Analysis of Information Retrieval using Ontology Based vs Traditional Information Systems in Food Science Domain." DESIDOC Journal of Library & Information Technology 40, no. 02 (2020): 437–44. http://dx.doi.org/10.14429/djlit.40.02.15213.

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The current methods of searching and information retrieval are imprecise, often yielding results in tens of thousands of web pages. Extraction of the actual information needed often requires extensive manual browsing of retrieved documents. In order to address these drawbacks, this paper introduces an implementation in the field of food science of the ontology-based information retrieval system, and comparison is made with conventional information systems. The ontology of Food Semantic Web Knowledge Base (FSWKB) was built using the Protégé framework which supports two main models of ontology t

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Buarki, Hanadi, and Bashaer Alkhateeb. "Use of hashtags to retrieve information on the web." Electronic Library 36, no. 2 (2018): 286–304. http://dx.doi.org/10.1108/el-01-2017-0011.

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Purpose This paper aims to find out how people use hashtags as a medium of information retrieval and dissemination, and how they are used in social media tools, such as Instagram. Design/methodology/approach A quantitative question estimated the participants’ use of the hashtags during the workshop. Statistical data of the participants and their posts were collected from social network analysis tools. The posts that included the workshop’s designated hashtags were retrieved, recorded, coded and analysed to collect qualitative data. Findings In total, 74 (46 per cent) participants used the work

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ICHIKO, Midori. "Information Retrieval Systems. Using the Web of Science." Igaku Toshokan 46, no. 1 (1999): 36–41. http://dx.doi.org/10.7142/igakutoshokan.46.36.

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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 i

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Li, M., and M. Qi. "MAPBOT: a Web based map information retrieval system." Information and Software Technology 45, no. 10 (2003): 691–98. http://dx.doi.org/10.1016/s0950-5849(03)00082-x.

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Toms, Elaine G., Luanne Freund, and Cara Li. "WiIRE: the Web interactive information retrieval experimentation system prototype." Information Processing & Management 40, no. 4 (2004): 655–75. http://dx.doi.org/10.1016/j.ipm.2003.08.006.

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Chawla, Suruchi. "Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web Search." Journal of Information Technology Research 11, no. 2 (2018): 110–27. http://dx.doi.org/10.4018/jitr.2018040107.

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The main challenge to effective information retrieval is to optimize the page ranking in order to retrieve relevant documents for user queries. In this article, a method is proposed which uses hybrid of genetic algorithms (GA) and trust for generating the optimal ranking of trusted clicked URLs for web page recommendations. The trusted web pages are selected based on clustered query sessions for GA based optimal ranking in order to retrieve more relevant documents up in ranking and improves the precision of search results. Thus, the optimal ranking of trusted clicked URLs recommends relevant d

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Lewandowski, Dirk. "Web searching, search engines and Information Retrieval." Information Services & Use 25, no. 3-4 (2006): 137–47. http://dx.doi.org/10.3233/isu-2005-253-402.

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Bond, Carol S. "Web users' information retrieval methods and skills." Online Information Review 28, no. 4 (2004): 254–59. http://dx.doi.org/10.1108/14684520410553741.

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When trying to locate information on the Web people are faced with a variety of options. This research reviewed how a group of health related professionals approached the task of finding a named document. Most were eventually successful, but the majority encountered problems in their search techniques. Even experienced Web users had problems when working with a different interface to normal, and without access to their favourites. No relationship was found between the number of years' experience Web users had and the efficiency of their searching strategy. The research concludes that if people

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Cacheda, Fidel, Vreixo Formoso, and Victor Carneiro. "Performance Analysis of Distributed Web Information Retrieval Systems." IEEE Latin America Transactions 5, no. 6 (2007): 479–85. http://dx.doi.org/10.1109/tla.2007.4395238.

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Shi, Zhongzhi, Qing He, Ziyan Jia, and Jiayou Li. "Intelligence Chinese Document Semantic Indexing System." International Journal of Information Technology & Decision Making 02, no. 03 (2003): 407–24. http://dx.doi.org/10.1142/s0219622003000732.

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With the rapid growth of the Internet, how to get information from this huge information space becomes an even more important problem. In this paper, An Intelligence Chinese Document Semantic Indexing System; ICDSIS, is proposed. Some new technologies are integrated in ICDSIS to obtain good performance. ICDSIS is composed of four key procedures. A parallel, distributed and configurable Spider is used for information gather; a multi-hierarchy document classification approach combining the information gain initially processes gathered web documents; a swarm intelligence based document clustering

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Chen, M., and R. Hofestadt. "Web-Based Information Retrieval System for the Prediction of Metabolic Pathways." IEEE Transactions on Nanobioscience 3, no. 3 (2004): 192–99. http://dx.doi.org/10.1109/tnb.2004.833691.

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Iribarne, Luis, Nicolás Padilla, Rosa Ayala, José A. Asensio, and Javier Criado. "OntoTrader: An Ontological Web Trading Agent Approach for Environmental Information Retrieval." Scientific World Journal 2014 (2014): 1–25. http://dx.doi.org/10.1155/2014/560296.

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ModernWeb-based Information Systems(WIS) are becoming increasingly necessary to provide support for users who are in different places with different types of information, by facilitating their access to the information, decision making, workgroups, and so forth. Design of these systems requires the use of standardized methods and techniques that enable a common vocabulary to be defined to represent the underlying knowledge. Thus, mediation elements such astradersenrich the interoperability of web components in open distributed systems. These traders must operate with otherthird-partytraders an

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Zakharova, S. S. "Signal information in the Web of Science Core Collection." Scientific and Technical Libraries 1, no. 7 (2021): 51–62. http://dx.doi.org/10.33186/1027-3689-2021-7-51-62.

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The author specifies signal information in bibliographies supporting science and research, which enables to use Web of Science Core Collection efficiently. Subscription to the alerts on new arrivals to the Web of Science Core Collection is based upon the preserved search and citation history. The subscribers are researchers and librarians who provide science and research information support. Intensive use of bibliographic databases was expected to replace selective dissemination of information, as the key technological processes of these alerttypes are identical. The author argues that these m

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Arunarani, Ar, and D. Manjula Perkinian. "Intelligent Techniques for Providing Effective Security to Cloud Databases." International Journal of Intelligent Information Technologies 14, no. 1 (2018): 1–16. http://dx.doi.org/10.4018/ijiit.2018010101.

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Cloud databases have been used in a spate of web-based applications in recent years owing to their capacity to store big data efficiently. In such a scenario, access control techniques implemented in relational databases are so modified as to suit cloud databases. The querying features of cloud databases are designed with facilities to retrieve encrypted data. The performance with respect to retrieval and security needs further improvements to ensure a secured retrieval process. In order to provide an efficient secured retrieval mechanism, a rule- and agent-based intelligent secured retrieval

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Norouzi, Yaghoub, and Hoda Homavandi. "Image search and retrieval problems in web search engines." Online Information Review 42, no. 6 (2018): 752–67. http://dx.doi.org/10.1108/oir-01-2017-0007.

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PurposeThe purpose of this paper is to investigate image search and retrieval problems in selected search engines in relation to Persian writing style challenges.Design/methodology/approachThis study is an applied one, and to answer the questions the authors used an evaluative research method. The aim of the research is to explore the morphological and semantic problems of Persian language in connection with image search and retrieval among the three major and widespread search engines: Google, Yahoo and Bing. In order to collect the data, a checklist designed by the researcher was used and th

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Gnoli, Claudio, and Hong Mei. "Freely faceted classification for Web-based information retrieval." New Review of Hypermedia and Multimedia 12, no. 1 (2006): 63–81. http://dx.doi.org/10.1080/13614560600758944.

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Bansal, Ritika, and Sonal Chawla. "Design and development of semantic web-based system for computer science domain-specific information retrieval." Perspectives in Science 8 (September 2016): 330–33. http://dx.doi.org/10.1016/j.pisc.2016.04.067.

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Nauer, Emmanuel, and Yannick Toussaint. "CreChainDo: an iterative and interactive Web information retrieval system based on lattices." International Journal of General Systems 38, no. 4 (2009): 363–78. http://dx.doi.org/10.1080/03081070902857613.

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Bryniarska, Anna. "The Auto-Diagnosis of Granulation of Information Retrieval on the Web." Algorithms 13, no. 10 (2020): 264. http://dx.doi.org/10.3390/a13100264.

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In this paper, a postulation on the relationship between the memory structure of the brain’s neural network and the representation of information granules in the semantic web is presented. In order to show this connection, abstract operations of inducing information granules are proposed to be used for the proposed logical operations systems, hereinafter referred to as: analysis, reduction, deduction and synthesis. Firstly, the searched information is compared with the information represented by the thesaurus, which is equivalent to the auto-diagnosis of this system. Secondly, triangular norm

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Uthayan, K. R., and G. S. Anandha Mala. "Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System." Scientific World Journal 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/414910.

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Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users require. Keywords matching process with historical or information domain is significant in recent calculations for assisting the best match for specific input queries. This research presents a better querying mechanism for information retrieval which integrates the ontology queries with keyword search. The ontology-based query is changed into a prim

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Krasilnikova, I. Yu. "Information Retrieval Systems for Interlibrary Exchange in the Web Environment." Scientific and Technical Information Processing 47, no. 4 (2020): 248–59. http://dx.doi.org/10.3103/s0147688220040061.

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VAN GILS, B., H. A. PROPER, P. VAN BOMMEL, and T. P. VAN DER WEIDE. "TYPING AND TRANSFORMATIONAL EFFECTS IN COMPLEX INFORMATION SUPPLY." International Journal of Cooperative Information Systems 16, no. 02 (2007): 229–69. http://dx.doi.org/10.1142/s0218843007001639.

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The amount of information available to us via the Web has increased enormously over the last few years. Even more, it seems that we are more and more dependent on this Web information in our day to day lives. Often we retrieve this information by querying the Web: data resources found on the web may provide the information that we are looking for. This implies that the Web may be seen as an information market: authors supply information and searchers may find it. In this article we present a formal reference model for the syntactic aspects of the information market. We explore the information

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Sadeghi, Mohammad, and Jesús Vegas. "How well does Google work with Persian documents?" Journal of Information Science 43, no. 3 (2016): 316–27. http://dx.doi.org/10.1177/0165551516640437.

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The performance evaluation of an information retrieval system is a decisive aspect of the measure of the improvements in search technology. The Google search engine, as a tool for retrieving information on the Web, is used by almost 92% of Iranian users. The purpose of this paper is to study Google’s performance in retrieving relevant information from Persian documents. The information retrieval effectiveness is based on the precision measures of the search results done to a website that we have built with the documents of a TREC standard corpus. We asked Google for 100 topics available on the

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Yari Zanganeh, Marzieh, and Nadjla Hariri. "The role of emotional aspects in the information retrieval from the web." Online Information Review 42, no. 4 (2018): 520–34. http://dx.doi.org/10.1108/oir-04-2016-0121.

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Purpose The purpose of this paper is to identify the role of emotional aspects in information retrieval of PhD students from the web. Design/methodology/approach From the methodological perspective, the present study is experimental and the type of study is practical. The study population is PhD students of various fields of science. The study sample consists of 50 students as selected by the stratified purposive sampling method. The information aggregation is performed by observing the records of user’s facial expressions, log file by Morae software, as well as pre-search and post-search ques

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Telemala, Joseph P., and Hussein Suleman. "Exploring Topic-language Preferences in Multilingual Swahili Information Retrieval in Tanzania." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 6 (2021): 1–30. http://dx.doi.org/10.1145/3458671.

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Habitual switching of languages is a common behaviour among polyglots when searching for information on the Web. Studies in information retrieval (IR) and multilingual information retrieval (MLIR) suggest that part of the reason for such regular switching of languages is the topic of search. Unlike survey-based studies, this study uses query and click-through logs. It exploits the querying and results selection behaviour of Swahili MLIR system users to explore how topic of search (query) is associated with language preferences—topic-language preferences. This article is based on a carefully co

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Park, Eui-Kyu, Dong-Yul Ra, and Myung-Gil Jang. "Techniques for improving web retrieval effectiveness." Information Processing & Management 41, no. 5 (2005): 1207–23. http://dx.doi.org/10.1016/j.ipm.2004.08.002.

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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 (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 actua

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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 (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 sortin

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Vadivel, A., Shamik Sural, and A. K. Majumdar. "Image retrieval from the web using multiple features." Online Information Review 33, no. 6 (2009): 1169–88. http://dx.doi.org/10.1108/14684520911011061.

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Oliveira, Eva, Teresa Chambel, and Nuno Magalhães Ribeiro. "Sharing Video Emotional Information in the Web." International Journal of Web Portals 5, no. 3 (2013): 19–39. http://dx.doi.org/10.4018/ijwp.2013070102.

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Video growth over the Internet changed the way users search, browse and view video content. Watching movies over the Internet is increasing and becoming a pastime. The possibility of streaming Internet content to TV, advances in video compression techniques and video streaming have turned this recent modality of watching movies easy and doable. Web portals as a worldwide mean of multimedia data access need to have their contents properly classified in order to meet users’ needs and expectations. The authors propose a set of semantic descriptors based on both user physiological signals, capture

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Sim, K. M., and P. T. Wong. "Toward Agency and Ontology for Web-Based Information Retrieval." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 34, no. 3 (2004): 257–69. http://dx.doi.org/10.1109/tsmcc.2004.829322.

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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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Hoogeveen, Doris, Li Wang, Timothy Baldwin, and Karin M. Verspoor. "Web Forum Retrieval and Text Analytics: A Survey." Foundations and Trends® in Information Retrieval 12, no. 1 (2018): 1–163. http://dx.doi.org/10.1561/1500000062.

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Bouarara, Hadj Ahmed, Reda Mohamed Hamou, and Abdelmalek Amine. "Artificial Haemostasis System for Modern Information Retrieval with 3D Result-Mining." Journal of Information Technology Research 9, no. 2 (2016): 17–46. http://dx.doi.org/10.4018/jitr.2016040102.

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The Human, existed since millions of years and consequently, be inspired from the physiological phenomenon of the human body organs is something really interesting. This is the origin of the authors' new bio-inspired technique, called artificial haemostasis system (AHS), based on the haemostasis phenomenon that prevents and stops bleeding in case of external haemorrhage. Aiming at contributing to web searching they have applied their AHS to solve the problem of information retrieval following four steps: multilingual pre-processing (pre-haemostasis) to transform each text into a vector and ens

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Zeynali Tazehkandi, Mahdi, and Mohsen Nowkarizi. "Three approaches to measuring recall on the Web: a systematic review." Electronic Library 38, no. 3 (2020): 477–92. http://dx.doi.org/10.1108/el-12-2019-0287.

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Purpose The purpose of this paper is to present a review on the use of the recall metric for evaluating information retrieval systems, especially search engines. Design/methodology/approach This paper investigates different researchers’ views about recall metrics. Findings Five different definitions for recall were identified. For the first group, recall refers to completeness, but it does not specify where all the relevant documents are located. For the second group, recall refers to retrieving all the relevant documents from the collection. However, it seems that the term “collection” is amb

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Denning, Rebecca, Marie Shuttleworth, and Phil Smith. "Interface Design Concepts in the Development of a Web-Based Information Retrieval System." Bulletin of the American Society for Information Science and Technology 24, no. 4 (2005): 17–20. http://dx.doi.org/10.1002/bult.92.

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Cawkell, Tony. "Checking research progress on ‘image retrieval by shape‐matching’ using the Web of Science." Aslib Proceedings 50, no. 2 (1998): 27–31. http://dx.doi.org/10.1108/eb051479.

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Cawkell, Tony. "Methods of information retrieval using Web of Science: pulmonary hypertension as a subject example." Journal of Information Science 26, no. 1 (2000): 66–70. http://dx.doi.org/10.1177/016555150002600107.

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Al-akashi, Falah, and Diana Inkpen. "Real-time Web Search Framework for Performing Efficient Retrieval of Data." Journal of information and organizational sciences 45, no. 1 (2021): 287–308. http://dx.doi.org/10.31341/jios.45.1.13.

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With the rapidly growing amount of information on the internet, real-time system is one of the key strategies to cope with the information overload and to help users in finding highly relevant information. Real-time events and domain-specific information are important knowledge base references on the Web that frequently accessed by millions of users. Real-time system is a vital to product and a technique must resolve the context of challenges to be more reliable, e.g. short data life-cycles, heterogeneous user interests, strict time constraints, and context-dependent article relevance. Since r

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Kraaij, Wessel, Jian-Yun Nie, and Michel Simard. "Embedding Web-Based Statistical Translation Models in Cross-Language Information Retrieval." Computational Linguistics 29, no. 3 (2003): 381–419. http://dx.doi.org/10.1162/089120103322711587.

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Although more and more language pairs are covered by machine translation (MT) services, there are still many pairs that lack translation resources. Cross-language information retrieval (CLIR) is an application that needs translation functionality of a relatively low level of sophistication, since current models for information retrieval (IR) are still based on a bag of words. The Web provides a vast resource for the automatic construction of parallel corpora that can be used to train statistical translation models automatically. The resulting translation models can be embedded in several ways

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Wang, Fei, and Yu Wei Wang. "The Research of Sharing Resources in Chinese Medicine Information System Using Web Services." Applied Mechanics and Materials 556-562 (May 2014): 5303–7. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5303.

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The RESTful Web services is a lightweight framework which includes some important ideas such as addressability of resources, statelessness, connectedness, and uniform interface and has good interaction and elasticity by its loose coupling and other distributed components. In this paper, we aim at to solve the problem of information islands in the construction of Chinese medicine informatization and propose a valid scheme based on the techinque of RESTful Web Services. In accordance with the classification and cording of Chinese medicine provided by National Science Data Sharing Project, the di

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Sadler, Jeffrey M., Daniel P. Ames, and Shaun J. Livingston. "Extending HydroShare to enable hydrologic time series data as social media." Journal of Hydroinformatics 18, no. 2 (2015): 198–209. http://dx.doi.org/10.2166/hydro.2015.331.

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The Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) hydrologic information system (HIS) is a widely used service oriented system for time series data management. While this system is intended to empower the hydrologic sciences community with better data storage and distribution, it lacks support for the kind of ‘Web 2.0’ collaboration and social-networking capabilities being used in other fields. This paper presents the design, development, and testing of a software extension of CUAHSI's newest product, HydroShare. The extension integrates the existing CUAHSI

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Patel, Chandrakant D., and Jayesh M. Patel. "Influence of GUJarati STEmmeR in Supervised Learning of Web Page Categorization." International Journal of Intelligent Systems and Applications 13, no. 3 (2021): 23–34. http://dx.doi.org/10.5815/ijisa.2021.03.03.

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With the large quantity of information offered on-line, it's equally essential to retrieve correct information for a user query. A large amount of data is available in digital form in multiple languages. The various approaches want to increase the effectiveness of on-line information retrieval but the standard approach tries to retrieve information for a user query is to go looking at the documents within the corpus as a word by word for the given query. This approach is incredibly time intensive and it's going to miss several connected documents that are equally important. So, to avoid these

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Ishak, Wan Hussain Wan, and Nurul Farhana Ismail. "Recommender System for Multiple Databases Based on Web Log Mining." Annals of Emerging Technologies in Computing 5, no. 5 (2021): 187–93. http://dx.doi.org/10.33166/aetic.2021.05.023.

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Finding information from a large collection of resources is a tedious and time-consuming process. Due to information overload, searchers often need help and assistance to search and find the information. Recommender system is one of the innovative solutions to the problem related to information searching and retrieval. It helps and assist searchers by recommending the possible solution based on the previous search activities. These activities can be obtained from the web log, which requires a web log mining approach to extract all the keywords. In this study, keywords obtained from the library

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John, Princess Maria, S. Arockiasamy, and P. Ranjith Jeba Thangiah. "A personalised user preference and feature based semantic information retrieval system in semantic web search." International Journal of Grid and Utility Computing 9, no. 3 (2018): 256. http://dx.doi.org/10.1504/ijguc.2018.093987.

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Thangiah, P. Ranjith Jeba, S. Arockiasamy, and Princess Maria John. "A personalised user preference and feature based semantic information retrieval system in semantic web search." International Journal of Grid and Utility Computing 9, no. 3 (2018): 256. http://dx.doi.org/10.1504/ijguc.2018.10015151.

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Zabed Ahmed, S. M., Cliff McKnight, and Charles Oppenhein. "The use of a heuristic process to evaluate an online information retrieval interface." Library and Information Research 30, no. 95 (2013): 3–9. http://dx.doi.org/10.29173/lirg278.

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This paper presents the results of a heuristic evaluation with the Web of Science interface. Three human factors experts carried out their independent evaluation. The findings were then analysed and combined to discuss them with expert members to reach a consensus on usability issues identified. The heuristic evaluation helped to identify a number of both positive and negative aspects in the Web of Science interface. The key strength of the then current interface was its consistency in terms of conventions used, screen layouts, minimu

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Smith, Andrew K., Kei-Hoi Cheung, Kevin Y. Yip, Martin Schultz, and Mark B. Gerstein. "LinkHub: a Semantic Web system that facilitates cross-database queries and information retrieval in proteomics." BMC Bioinformatics 8, Suppl 3 (2007): S5. http://dx.doi.org/10.1186/1471-2105-8-s3-s5.

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