Adaptive semantic interoperability strategies for knowledge based networking

Authors:
Song Guo;John Keeney;Declan O'Sullivan;David Lewis
Affiliations:
Knowledge & Data Engineering Group, Centre for Telecommunications Value Chain Research, School of Computer Science & Statistics, Trinity College, Dublin, Dublin, Ireland;Knowledge & Data Engineering Group, Centre for Telecommunications Value Chain Research, School of Computer Science & Statistics, Trinity College, Dublin, Dublin, Ireland;Knowledge & Data Engineering Group, Centre for Telecommunications Value Chain Research, School of Computer Science & Statistics, Trinity College, Dublin, Dublin, Ireland;Knowledge & Data Engineering Group, Centre for Telecommunications Value Chain Research, School of Computer Science & Statistics, Trinity College, Dublin, Dublin, Ireland
Venue:
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
Year:
2007

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Abstract

A Knowledge Based Network is a type of ontological content based network. As Knowledge Based Networks scale, semantic interoperability becomes an important issue since larger populations of users result in more heterogeneity in the content of messages. This paper examines the content heterogeneity problem in a KBN and proposes a mapping service scheme for 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 scheme can effectively solve the heterogeneity problem.