Volume 4 Number 8 (Oct. 2009)
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JSW 2009 Vol.4(8): 808-820 ISSN: 1796-217X
doi: 10.4304//jsw.4.8.808-820

Adaptive Semantic Interoperability Strategies for Knowledge Based Networking

Song Guo, John Keeney, David Lewis, Declan O’Sullivan
Knowledge & Data Engineering Group, School of Computer Science & Statistics, Trinity College, Dublin, Dublin 2, Ireland

Abstract—Knowledge-based networking involves the forwarding of messages across a network based on semantics of the data and associated metadata of the message content. However such systems typically assume a common semantic model underpinning the routing which limits their ability to cope with heterogeneity. In contrast, the authors have developed a semantic-based publish/subscribe system that is unique in allowing several semantic models to support routing. This paper examines the content heterogeneity problem in a Knowledge-based Network (KBN) implementation and evaluates a mechanism for efficiently and dynamically loading ontological mappings for use with distributed and heterogeneous knowledge-based applications. It compares a number of strategies that use pre-existing semantic mapping information stored in KBN routers. Evaluation results show that this mechanism can effectively solve the heterogeneity problem.

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Cite: Song Guo, John Keeney, David Lewis, Declan O’Sullivan, "Adaptive Semantic Interoperability Strategies for Knowledge Based Networking," Journal of Software vol. 4, no. 8, pp. 808-820, 2009.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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