An Ontology Learning Model in Grid Information Services

Author

Hu, He ; Du, Xiaoyong

Author_Institution

Inf. Sch., Renmin Univ., Beijing

Volume

3

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

398

Lastpage

401

Abstract

LDAP based search mechanisms in grid environment are syntactic based and do not support semantic information extraction. With the quick development of semantic grid, it demands a more flexible and powerful search mechanism for grid information discovery. We propose a new search mechanism which extends LDAP and can be used in the semantic grid environment for semantic searching of relevant information. The mechanism uses an ontology learning model which maps WordNet lexicon into OWL ontologies. Such ontology assistant mechanism can utilize the reasoning services from particular description logic systems and make use of more machine automation in the searching process

Keywords

access protocols; formal logic; grid computing; inference mechanisms; information retrieval; knowledge representation languages; learning (artificial intelligence); ontologies (artificial intelligence); semantic Web; LDAP based search mechanisms; OWL ontologies; WordNet lexicon; description logic systems; grid information services; machine automation; ontology assistant mechanism; ontology learning model; reasoning services; semantic grid; semantic information extraction; Access protocols; Automation; Data mining; Filters; Grid computing; Laboratories; Logic; OWL; Ontologies; Power system modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.419

Filename

1692198