DocumentCode :
2728965
Title :
Knowledge Retrieval (KR)
Author :
Yao, Yiyu ; Zeng, Yi ; Zhong, Ning ; Huang, Xiangji
fYear :
2007
fDate :
2-5 Nov. 2007
Firstpage :
729
Lastpage :
735
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.
Keywords :
Computer science; Humans; Information processing; Information retrieval; Information technology; Knowledge engineering; Logic; Machine learning; Psychology; Rough sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, IEEE/WIC/ACM International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3026-0
Type :
conf
DOI :
10.1109/WI.2007.113
Filename :
4427181
Link To Document :
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