Knowledge Retrieval (KR)

44Citations
Citations of this article
84Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free