Title :
Research on knowledge retrieval by leveraging data mining techniques
Author :
Hao, Yan ; Zhang, Yu-feng
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
Abstract :
This paper proposes a knowledge retrieval model combining knowledge search with data mining technologies. In this model, data mining is integrated into the whole retrieval procedure of query optimizing, searching, results analyzing, and resources constructing. It realizes knowledge retrieval by various approaches, different levels, and multi-modes, and significantly improves knowledge retrieval level and efficiency. Furthermore, we explore related knowledge retrieval methods and algorithms including association analysis-based concept retrieval and inductive learning-based classification retrieval, and validate them experimentally.
Keywords :
data mining; information retrieval; association analysis-based concept retrieval; data mining; knowledge retrieval; knowledge search; learning-based classification retrieval; query optimization; Algorithm design and analysis; Biomedical imaging; Ferroelectric films; Nonvolatile memory; Ontologies; Random access memory; Semantics; Data mining; Knowledge retrieval; Retrieval algorithm; Retrieval model;
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
DOI :
10.1109/FITME.2010.5656554