DocumentCode
3191723
Title
SWRL Bridge-Peer Model: An Improved Super-Peer Model Based on the Extended SWRL and Its Application
Author
Liu, Yu ; Wang, Ruomei ; Peng, Liyi ; Luo, Xiaonan
Author_Institution
Inst. of Comput. Applic., Sun Yat-sen Univ., Guangzhou, China
fYear
2011
fDate
19-22 Oct. 2011
Firstpage
739
Lastpage
743
Abstract
Ontology is a formal explicit specification of a shared conceptualization. With the development of internet technology, how to reuse the distributed ontologies with varies semantic relevance published in the network becomes more and more important. According to the analysis of the Super-Peer Model (SPM), SWRL-Bridge-Peer Model (SWRL-BPM), an improved Super-Peer Model based on the extended SWRL is reported in this paper. In the SWRL-BPM, the query performances about flexibility and efficiency of SPM have been expended, meanwhile SWRL-BPM can solve the problems of large load handling better than SPM. The important thing is that SWRL-BPM shows the good property to reuse, expand and combine the distributed ontology by some means. The knowledge in different domains can be integrated as a larger pool of information to support new communication and use for enterprise on the Internet of Things. The experiments results indicate that SWRL-BPM shows a significant performance improvement on retrieving the dynamic information in an ontology ecosystem.
Keywords
Internet; formal specification; ontologies (artificial intelligence); peer-to-peer computing; query processing; Internet of Things; Internet technology; SWRL bridge-peer model; conceptualization formal explicit specification; distributed ontologies; dynamic information retrieval; enterprise; load handling; query performances; super-peer model; Computer architecture; Load modeling; OWL; Ontologies; Peer to peer computing; Semantics; SWRL rule; ontology mapping; peer-to peer ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location
Dalian
Print_ISBN
978-1-4577-1976-9
Type
conf
DOI
10.1109/iThings/CPSCom.2011.92
Filename
6142163
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