Semantic Information Integration and Knowledge Discovery Based on   Pervasive Ontology

doi:10.1166/jctn.2012.2013

CORC > 北京大学 > 信息科学技术学院

	Semantic Information Integration and Knowledge Discovery Based on Pervasive Ontology
	Wu, Hui-Fang ; Guo, Qing-Lin
刊名	journal of computational and theoretical nanoscience
	2012
关键词	Knowledge Discovery Pervasive Ontology Semantic Web Natural Language Understanding Concept Extraction
DOI	10.1166/jctn.2012.2013
英文摘要	Implementation of a continuous knowledge discovery has been attracting more and more interests from Web. The Web continues to grow at a tremendous rate. Search engines find it increasingly difficult to provide useful results. To manage this explosively large number of Web documents, automatic clustering of documents and organizing them into domain dependent directories became very popular. Aiming at the problems in current network environment, such as imperfect expression of domain knowledge, low reuse rate and lack of reasonable theory reference models, we put forward the information integration method of Semantic Web based on Pervasive Ontology (SWPO method), which will integrate, analyze and process enormous web information and discovery knowledge on the basis of semantics. With SWPO method as the clue, we mainly study the method of concept extraction based on uniform semantic term mining, pervasive ontology construction method on account of multi-points and the knowledge discovery in view of semantic inference. Meanwhile, for the problem that the Automatic Abstracting lacks semantic model in current network environment, we present the structural model of the Automatic Abstracting system by applying pervasive ontology, and from which we adopt OWL language to describe domain ontology and use Jena inference engine to infer and extract the semantic relation among words. In this way, the precision of the system is improved. In the system testing, the precision has reached 85%, and recalling rate is 92%. The experiment indicates that this method is feasible and it has the significance of reference and value of further study for the knowledge discovery systems.; Chemistry, Multidisciplinary; Nanoscience & Nanotechnology; Materials Science, Multidisciplinary; Physics, Applied; Physics, Condensed Matter; SCI(E); EI; 1; ARTICLE; 2; 199-207; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/393691]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wu, Hui-Fang,Guo, Qing-Lin. Semantic Information Integration and Knowledge Discovery Based on Pervasive Ontology[J]. journal of computational and theoretical nanoscience,2012.
APA	Wu, Hui-Fang,&Guo, Qing-Lin.(2012).Semantic Information Integration and Knowledge Discovery Based on Pervasive Ontology.journal of computational and theoretical nanoscience.
MLA	Wu, Hui-Fang,et al."Semantic Information Integration and Knowledge Discovery Based on Pervasive Ontology".journal of computational and theoretical nanoscience (2012).