Abstract
With the ever-increasing growth of data and information, finding the right knowledge becomes a real challenge and an urgent task. Traditional data and information retrieval systems that support the current web are no longer adequate for knowledge seeking tasks. Knowledge retrieval systems will be the next generation of retrieval system serving those purposes. Basic issues of knowledge retrieval systems are examined and a conceptual framework of such systems is proposed. Theories and Technologies such as theory of knowledge, machine learning and knowledge discovery, psychology, logic and inference, linguistics, etc. are briefly mentioned for the implementation of knowledge retrieval systems. Two applications of knowledge retrieval in rough sets and biomedical domains are presented. © 2007 IEEE.
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CITATION STYLE
Yao, Y., Zeng, Y., Zhong, N., & Huang, X. (2007). Knowledge Retrieval (KR). In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 (pp. 729–735). https://doi.org/10.1109/WI.2007.4427181
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