Knowledge Retrieval (KR)
Authors:
- Yiyu YaoYYYiyu Yao
- Yi ZengYZYi Zeng
- Ning ZhongNZNing Zhong
- Xiangji HuangXHXiangji Huang
- 1 November 2007
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 729-735
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
This publication has 14 references indexed in Scilit:
- Guest Editors' Introduction: Human-Centered Computing--Toward a Human RevolutionComputer, 2007
- Unifying Reasoning and Search to Web ScaleIEEE Internet Computing, 2007
- IntroductionCommunications of the ACM, 2006
- Web intelligence: new frontiers of exploration2005
- Implementing the iHOP concept for navigation of biomedical literatureBioinformatics, 2005
- Information retrieval support systems2003
- A graph based knowledge retrieval system2002
- Knowledge retrieval and the World Wide WebIEEE Intelligent Systems and their Applications, 2000
- Conceptual structures and structured documentsLecture Notes in Computer Science, 1996
- A visual representation for knowledge structures1989