Semantic Web Dog Food

Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)

by Daniel Elenius, Mark Johnson, Reginald Ford, Grit Denker, David Martin

We describe a novel approach by which software can assess the ability of a confederation of heterogeneous systems to interoperate to achieve a given purpose. The approach uses ontologies and knowledge bases (KBs) to capture the salient characteristics of systems, on the one hand, and of tasks for which these systems will be employed, on the other. Rules are used to represent the conditions under whichthe capabilities provided by systems can fulfill the capabilities needed to support the roles and interactions that make up each task. An Analyzer component employs these KBs and rules to determine if a given confederation will be adequate, to generate suitable confederations from a collection of available systems, to pre-diagnose potential interoperability problems that might arise, and to suggest system configuration options that will help to make interoperability possible. We have demonstrated the feasibility of this approach using a prototype Analyzer and KBs.

Purpose-Aware Reasoning about Interoperability of Heterogeneous Training Systems was presented at this event.

Keywords: Application software, Ontology (computer science), Ontology (Computer Science), Semantic Web, Tool

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/in-use/papers/743
Same as: http://revyu.com/things/iswc-aswc-2007-in-use-paper-743-purposeaware-reasoning

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