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Knowledge retrieval : ウィキペディア英語版
Knowledge retrieval

Knowledge Retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items. It draws on a range of fields including epistemology (theory of knowledge), cognitive psychology, cognitive neuroscience, logic and inference, machine learning and knowledge discovery, linguistics, and information technology.
== Overview ==
In the field of retrieval systems, established approaches include:
* Data Retrieval Systems (DRS), such as database management systems, are well suitable for the storage and retrieval of structured data.
* Information Retrieval Systems (IRS), such as web search engines, are very effective in finding the relevant documents or web pages.
Both approaches require a user to read and analyze often long lists of data sets or documents in order to extract meaning.
The goal of knowledge retrieval systems is to reduce the burden of those processes by improved search and representation. This improvement is needed to leverage the increasing data volumes available on the Internet.〔
Frisch, A.M. Knowledge Retrieval as Specialized Inference, Ph.D thesis, University of Rochester, 1986.〕〔
Kame, M. and Quintana, Y. A graph based knowledge retrieval system, Proceedings of the 1990 IEEE International Conference on Systems, Man and Cybernetics, 1990: 269-275.〕〔
Martin, P. and Eklund, P.W. Knowledge retrieval and the World Wide Web, IEEE Intelligent Systems, 2000, 15(3): 18-25.〕〔
Oertel, P. and Amir, E. A framework for commonsence knowledge retrieval, Proceedings of the 7th International Symposium on Logic Formalizations of Commonsense Reasoning, 2005.〕〔
Travers, M. A visual representation for knowledge structures, Proceedings of the 2nd annual ACM conference on Hypertext and Hypermedia, 1989: 147-158.〕〔
Yao, Y.Y. Information retrieval support systems, Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002, 1092-1097.〕〔
Zhou, N., Zhang, Y.F. and Zhang, L.Y. Information Visualization and Knowledge Retrieval (Chinese ), Science Press, 2005.〕〔
Robert Loew, Katrin Kuemmel, Judith Ruprecht, Udo Bleimann, Paul Walsh. Approaches for personalised knowledge retrieval, Internet Research, 17(1), 2007〕〔
Stefania Mariano, Andrea Casey. The process of knowledge retrieval: A case study of an American high-technology research, engineering and consulting company. VINE: The journal of information and knowledge management systems, 37(3), 2007.〕〔
Jens Gammelgaard, Thomas Ritter. The knowledge retrieval matrix: codification and personification as separate strategies, Journal of Knowledge Management, 9(4), 133-143, 2005.〕〔
J.E.L. Farradane. Analysis and organization of knowledge for retrieval, Aslib Proceedings, 22(12), 607-616,1970.〕

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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