Title :
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
fDate :
March 29 2009-April 2 2009
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;
Conference_Titel :
Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3422-0
Electronic_ISBN :
1084-4627
DOI :
10.1109/ICDE.2009.214
