Academic literature on the topic 'Distributed information retrieval'

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Journal articles on the topic "Distributed information retrieval"

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Dr. V. Suma. "A Novel Information retrieval system for distributed cloud using Hybrid Deep Fuzzy Hashing Algorithm." September 2020 02, no. 03 (2020): 151–60. http://dx.doi.org/10.36548/jitdw.2020.3.003.

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The recent technology development fascinates the people towards information and its services. Managing the personal and pubic data is a perennial research topic among researchers. In particular retrieval of information gains more attention as it is important similar to data storing. Clustering based, similarity based, graph based information retrieval systems are evolved to reduce the issues in conventional information retrieval systems. Learning based information retrieval is the present trend and in particular deep neural network is widely adopted due to its retrieval performance. However, t
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Davcev, Danco, Dusan Cakmakov, and Vanco Cabukovski. "Distributed multimedia information retrieval system." Computer Communications 15, no. 3 (1992): 177–84. http://dx.doi.org/10.1016/0140-3664(92)90078-s.

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Ghansah, Benjamin, and Sheng Li Wu. "Distributed Information Retrieval: Developments and Strategies." International Journal of Engineering Research in Africa 16 (June 2015): 110–44. http://dx.doi.org/10.4028/www.scientific.net/jera.16.110.

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Opposed to centralized search where Websites are crawled and indexed, Distributed Information Retrieval (DIR), also known as Federated Search, is a powerful way to comprehensively search multiple databases in real-time simultaneously. DIR is preferred to centralized search environments in a number of ways, characteristically among them are: 1. the diversity of resources that are made available; 2. improving scalability and reducing server load and network traffic; 3. the leverage of accessing the hidden or deep Web.There are three major phases/tasks of a DIR (i) resource description or collect
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Falah Hassan Ali Al-akashi. "An Islamic Distributed Information Retrieval Approach." International Journal of Software Science and Computational Intelligence 12, no. 3 (2020): 38–54. http://dx.doi.org/10.4018/ijssci.2020070104.

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The majority of Islamic and Muslim related search engines fail due to non-profit and content filtering issues due to explicit adult, hateful, and harmful content from Muslim perspectives are not addressed. While this is a crucial and noble initiative, it is controversial because it does not deal with all the needs of Muslim demography, including trustworthiness and aspects of life rather than Islam and religion. Custom search engines employ automatic REST API capability to provide results, and this can cause systemic engagement and compromises with their partners to search for and filter outpu
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Bordogna, Gloria, Gabriella Pasi, and R. R. Yager. "Soft approaches to distributed information retrieval." International Journal of Approximate Reasoning 34, no. 2-3 (2003): 105–20. http://dx.doi.org/10.1016/j.ijar.2003.07.003.

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Kechid, Samir, and Habiba Drias. "Personalised distributed information retrieval-based agents." International Journal of Intelligent Systems Technologies and Applications 9, no. 1 (2010): 49. http://dx.doi.org/10.1504/ijista.2010.033896.

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Baumgarten, Christoph. "A probabilistic model for distributed information retrieval." ACM SIGIR Forum 31, SI (1997): 258–66. http://dx.doi.org/10.1145/278459.258585.

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Callan, Jamie, Fabio Crestani, and Mark Sanderson. "SIGIR 2003 workshop on distributed information retrieval." ACM SIGIR Forum 37, no. 2 (2003): 33–37. http://dx.doi.org/10.1145/959258.959263.

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MacLeod, Ian A., T. Patrick Martin, Brent Nordin, and John R. Phillips. "Strategies for building distributed information retrieval systems." Information Processing & Management 23, no. 6 (1987): 511–28. http://dx.doi.org/10.1016/0306-4573(87)90056-2.

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Sheng, Zhong Biao, Hua Ping Jia, and Xiao Rong Tong. "Design of Personalized Intelligent Information Retrieval Model Based on Agent." Applied Mechanics and Materials 155-156 (February 2012): 1175–79. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.1175.

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The features of vast distributed dynamic information on Web caused the problem of “overload” and “mislead” while query. Intelligent agent is a way to solve it. After considering the problems of users’ personal interests during the information retrieve adequately, the paper proposes an intelligent information retrieval model based-on Agent. This system integrated domain knowledge and used many arithmetic of learning user’s interest. Each Agent co-operates to finish information retrieval task, manifest the characteristics of intellectualization and individuality of in information retrieval. It i
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Dissertations / Theses on the topic "Distributed information retrieval"

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Craswell, Nicholas Eric, and Nick Craswell@anu edu au. "Methods for Distributed Information Retrieval." The Australian National University. Faculty of Engineering and Information Technology, 2001. http://thesis.anu.edu.au./public/adt-ANU20020315.142540.

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Published methods for distributed information retrieval generally rely on cooperation from search servers. But most real servers, particularly the tens of thousands available on the Web, are not engineered for such cooperation. This means that the majority of methods proposed, and evaluated in simulated environments of homogeneous cooperating servers, are never applied in practice. ¶ This thesis introduces new methods for server selection and results merging. The methods do not require search servers to cooperate, yet are as effective as the best methods which do. Two large experiments evalua
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Powell, Allison L. "Database selection in distributed information retrieval a study of multi-collection information retrieval /." Full text, Acrobat Reader required, 2001. http://viva.lib.virginia.edu/etd/diss/SEAS/ComputerScience/2001/Powell/etd.pdf.

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Baumgarten, Christoph. "Probabilistic information retrieval in a distributed heterogeneous environment." Doctoral thesis, [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=963555316.

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Baumgarten, Christoph. "Probabilistic information retrieval in a distributed heterogeneous environment." Doctoral thesis, Technische Universität Dresden, 1998. https://tud.qucosa.de/id/qucosa%3A24785.

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This thesis describes a probabilistic model for optimum information retrieval in a distributed heterogeneous environment. The model assumes the collection of documents offered by the environment to be hierarchically partitioned into subcollections. Documents as well as subcollections have to be indexed. At this indexing methods using different indexing vocabularies can be employed. A query provided by a user is answered in terms of a ranked list of documents. The model determines a procedure for ranking the documents that stems from the Probability Ranking Principle: For each subcollection the
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Yang, Hui. "Methodologies for information source selection under distributed information environments." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060511.123303/index.html.

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Liu, Yang. "A resource aware distributed LSI algorithm for scalable information retrieval." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/5559.

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Latent Semantic Indexing (LSI) is one of the popular techniques in the information retrieval fields. Different from the traditional information retrieval techniques, LSI is not based on the keyword matching simply. It uses statistics and algebraic computations. Based on Singular Value Decomposition (SVD), the higher dimensional matrix is converted to a lower dimensional approximate matrix, of which the noises could be filtered. And also the issues of synonymy and polysemy in the traditional techniques can be overcome based on the investigations of the terms related with the documents. However,
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Fu, R. "The quality of probabilistic search in unstructured distributed information retrieval systems." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1370031/.

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Searching the web is critical to the Web's success. However, the frequency of searches together with the size of the index prohibit a single computer being able to cope with the computational load. Consequently, a variety of distributed architectures have been proposed. Commercial search engines such as Google, usually use an architecture where the the index is distributed but centrally managed over a number of disjoint partitions. This centralized architecture has a high capital and operating cost that presents a significant barrier preventing any new competitor from entering the search marke
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Schatz, Bruce Raymond. "Interactive retrieval in information spaces distributed across a wide-area network." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185363.

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The potential to provide interactive data manipulation across high-speed nationwide networks is stimulating development of new database technology. An information space is a data model that can support rapid browsing of large amounts of information contained in a digital library physically distributed across many disparate sources. This dissertation discusses supporting interactive retrieval of objects inside an information space across the nationwide scientific network. Implementing such interactive retrieval requires designing caching policies that enable fetching requested objects into a lo
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Tran, Allen Quoc-Luan. "A network management facility for a fault-tolerant distributed information retrieval system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0010/MQ53394.pdf.

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Macfarlane, Andrew. "Distributed inverted files and performance : a study of parallelism and data distribution methods in IR." Thesis, City University London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342722.

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Books on the topic "Distributed information retrieval"

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Callan, Jamie, Fabio Crestani, and Mark Sanderson, eds. Distributed Multimedia Information Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b95004.

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Soro, Alessandro, Eloisa Vargiu, Giuliano Armano, and Gavino Paddeu, eds. Information Retrieval and Mining in Distributed Environments. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16089-9.

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Lai, Cristian, Giovanni Semeraro, and Eloisa Vargiu, eds. New Challenges in Distributed Information Filtering and Retrieval. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31546-6.

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Lai, Cristian, Alessandro Giuliani, and Giovanni Semeraro, eds. Distributed Systems and Applications of Information Filtering and Retrieval. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40621-8.

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1959-, Callan Jamie, Crestani Fabio, and Sanderson Mark, eds. Distributed multimedia information retrieval: SIGIR 2003 Workshop on Distributed Information Retrieval, Toronto, Canada, August 1, 2003 : revised, selected, and invited papers. Springer, 2004.

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Cheng, Antonio S. A robust distributed storage system for large information retrieval applications. National Library of Canada, 1998.

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Tran, Allen Quoc-Luan. A network management facility for a fault-tolerant distributed information retrieval system. National Library of Canada, 2000.

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United States. National Aeronautics and Space Administration., ed. Building a generalized distributed system model: Annual report. Old Dominion University Research Foundation, 1993.

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United States. National Aeronautics and Space Administration., ed. Building a generalized distributed system model: Annual report. Old Dominion University Research Foundation, 1993.

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Lai, Cristian. New Challenges in Distributed Information Filtering and Retrieval: DART 2011: Revised and Invited Papers. Springer Berlin Heidelberg, 2013.

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Book chapters on the topic "Distributed information retrieval"

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Grossman, David A., and Ophir Frieder. "Distributed Information Retrieval." In Information Retrieval. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-3005-5_8.

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Grossman, David A., and Ophir Frieder. "Distributed Information Retrieval." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5539-1_7.

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dos Santos, Emerson L., Fabiano M. Hasegawa, Bráulio C. Ávila, and Fabrício Enembreck. "Conceptual Information Retrieval." In Advanced Distributed Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25958-9_13.

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Mishra, Annu, and Satya Prakash Yadav. "DAI for Information Retrieval." In Distributed Artificial Intelligence. CRC Press, 2020. http://dx.doi.org/10.1201/9781003038467-6.

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Fluhr, Christian, Dominique Schmit, Philippe Ortet, Faza Elkateb, Karine Gurtner, and Khaled Radwan. "Distributed Cross-Lingual Information Retrieval." In Cross-Language Information Retrieval. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5661-9_4.

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Alshalan, Shahad, Raghad Alshalan, Hend Al-Khalifa, Reem Suwaileh, and Tamer Elsayed. "Improving Arabic Microblog Retrieval with Distributed Representations." In Information Retrieval Technology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42835-8_16.

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Fox, Edward A., Marcos A. Gonçalves, Ming Luo, et al. "Harvesting: Broadening the Field of Distributed Information Retrieval." In Distributed Multimedia Information Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24610-7_1.

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Singh, Aameek, Mudhakar Srivatsa, Ling Liu, and Todd Miller. "Apoidea: A Decentralized Peer-to-Peer Architecture for Crawling the World Wide Web." In Distributed Multimedia Information Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24610-7_10.

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Gnasa, Melanie, Sascha Alda, Jasmin Grigull, and Armin B. Cremers. "Towards Virtual Knowledge Communities in Peer-to-Peer Networks." In Distributed Multimedia Information Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24610-7_11.

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Candela, Leonardo, and Umberto Straccia. "The Personalized, Collaborative Digital Library Environment CYCLADES and Its Collections Management." In Distributed Multimedia Information Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24610-7_12.

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Conference papers on the topic "Distributed information retrieval"

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Ma, Xindi, Yu He, Junying Zhang, et al. "Verifiable and Byzantine-robust Private Information Retrieval over Distributed Database." In 2024 IEEE Smart World Congress (SWC). IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00363.

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Cai, Chunpeng. "Design of Corpus Distributed Retrieval System Based on Elasticsearch Search Engine." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10796551.

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Mozaffari, Hamid, and Amir Houmansadr. "Heterogeneous Private Information Retrieval." In Network and Distributed System Security Symposium. Internet Society, 2020. http://dx.doi.org/10.14722/ndss.2020.24363.

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Carman, Mark J., and Fabio Crestani. "Towards personalized distributed information retrieval." In the 31st annual international ACM SIGIR conference. ACM Press, 2008. http://dx.doi.org/10.1145/1390334.1390468.

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Linping Shuang and Hongjun Zhu. "Analysis of distributed information retrieval." In 2011 International Conference on Multimedia Technology. IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002305.

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Raimond, Yves, Christopher Sutton, and Mark Sandler. "A distributed data space for music-related information." In Workshop on multimedia information retrieval. ACM Press, 2007. http://dx.doi.org/10.1145/1290067.1290081.

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Tran, Duc A., and K. Nguyen. "Multidimensional information retrieval in peer-to-peer networks." In Distributed Processing Symposium (IPDPS). IEEE, 2008. http://dx.doi.org/10.1109/ipdps.2008.4536393.

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Sarinder, K. K. S., L. H. S. Lim, A. F. Merican, and K. Dimyati. "Information Retrieval from Distributed Relational Biodiversity Databases." In 2010 Second International Conference on Computer Research and Development. IEEE, 2010. http://dx.doi.org/10.1109/iccrd.2010.27.

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Baumgarten, Christoph. "A probabilistic model for distributed information retrieval." In the 20th annual international ACM SIGIR conference. ACM Press, 1997. http://dx.doi.org/10.1145/258525.258585.

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Wei, Chen, Li Zhemin, Zhang Chao, Wang Dongjie, and Wu Chen. "Agricultural information retrieval in geographically distributed networks." In 2016 5th International Conference on Agro-geoinformatics (Agro-geoinformatics). IEEE, 2016. http://dx.doi.org/10.1109/agro-geoinformatics.2016.7577614.

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Reports on the topic "Distributed information retrieval"

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Towards flexible distributed information retrieval. National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5243.

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