Title :
An Ontology Learning Model in Grid Information Services
Author :
Hu, He ; Du, Xiaoyong
Author_Institution :
Inf. Sch., Renmin Univ., Beijing
fDate :
Aug. 30 2006-Sept. 1 2006
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;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.419
