A SWRL Rules Parser Algorithm Based on the Topic Semantic Comparability and Ant Colony Algorithm

Author

Zong, Nansu ; Zheng, Yelu ; Wang, Zhong

Author_Institution

Chinese Acad. of Agric. Sci., Beijing, China

Volume

2

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

161

Lastpage

167

Abstract

As the Web Ontology Language (OWL) and Semantic Web Rule Language SWRL is promoted as one of the semantic reasoning standards, the parser algorithm for the SWRL retrieval has been studied by many researchers. This paper introduces a retrieve algorithm which integrated both the Topic Semantic Comparability (TSC) and Ant Colony Algorithm (ACA) to select the proper rules for the parser according to the input The paper analyzed the experiment and developed ideas for the direction of future research.

Keywords

grammars; information retrieval; knowledge representation languages; semantic Web; SWRL rules parser algorithm; Web ontology language; ant colony algorithm; retrieve algorithm; semantic Web rule language; semantic comparability; semantic reasoning standards; topic semantic comparability; Computational modeling; Distributed computing; Feedback; Inference algorithms; Information retrieval; Internet; Natural languages; OWL; Ontologies; Semantic Web; Ant Colony Algorithm; Modeling And Data Analysis; Parser Algorithm; SWRL; Semantic Comparability; Semantic Reasoning; Theory of Algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.283

Filename

5358793