iBroker: An Intelligent Broker for Ontology Based Publish/Subscribe Systems

Author

Park, Myung-Jae ; Chung, Chin-Wan

Author_Institution

Dept. of EECS, Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea

fYear

2009

fDate

March 29 2009-April 2 2009

Firstpage

1255

Lastpage

1258

Abstract

In this paper, we present iBroker, an intelligent broker for ontology based publish/subscribe systems which syntactically and semantically match incoming OWL data to multiple user profiles. iBroker effectively manages user profiles based on the semantics of query patterns in user profiles formulated in SPARQL. iBroker uses a semantic matching algorithm to efficiently process OWL data and generate the complete results for user profiles, considering the core semantics of OWL. Experimental results demonstrate that iBroker is more efficient and scalable compared to an existing broker for ontology based publish/subscribe systems.

Keywords

message passing; middleware; ontologies (artificial intelligence); semantic Web; OWL data; intelligent broker; multiple user profile; ontology based publish/subscribe system; query pattern; semantic matching algorithm; Computer science; Conference management; Data engineering; Database languages; Internet; OWL; Ontologies; Pattern matching; Resource description framework; XML; Broker; Ontology; Publish/Subscribe Systems; Semantic Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on

Conference_Location

Shanghai

ISSN

1084-4627

Print_ISBN

978-1-4244-3422-0

Electronic_ISBN

1084-4627

Type

conf

DOI

10.1109/ICDE.2009.214

Filename

4812514