A pragmatic approach for the semantic description and matching of pervasive resources

Purpose – There has been an increased interest in the use of semantic description and matching techniques, to support service discovery and to overcome the limitations in the traditional syntactic approaches. However, the existing semantic matching approaches lack certain desirable properties that must be present in an effective solution to support service discovery. The purpose of this paper is to present a solution to facilitate the effective semantic matching of resource requests and advertisements in pervasive environments.Design/methodology/approach – The paper presents a semantic description and matching approach to facilitate resource discovery in pervasive environments; the approach includes a ranking mechanism that orders services according to their suitability and also considers priorities placed on individual requirements in a request.Findings – The solution has been evaluated for its effectiveness and the results have shown that the matcher results agree reasonably well with human judgement. T...

[1]  Philip Resnik,et al.  Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.

[2]  Chandra Kopparapu,et al.  Load Balancing Servers, Firewalls, and Caches , 2002 .

[3]  Takahiro Kawamura,et al.  Semantic Matching of Web Services Capabilities , 2002, SEMWEB.

[4]  Donald H. Kraft,et al.  Performance measurement in a fuzzy retrieval environment , 1981, SIGIR 1981.

[5]  Dekang Lin,et al.  An Information-Theoretic Definition of Similarity , 1998, ICML.

[6]  Jim Waldo,et al.  The Jini Specification , 1999 .

[7]  Jerry R. Hobbs,et al.  DAML-S: Semantic Markup for Web Services , 2001, SWWS.

[8]  A. Tversky Features of Similarity , 1977 .

[9]  Umberto Straccia,et al.  A fuzzy description logic for the semantic web , 2006, Fuzzy Logic and the Semantic Web.

[10]  Asunción Gómez-Pérez,et al.  Ontology Specification Languages for the Semantic Web , 2002, IEEE Intell. Syst..

[11]  Asunción Gómez-Pérez,et al.  Results of Taxonomic Evaluation of RDF(S) and DAML+OIL ontologies using RDF(S) and DAML+OIL Validation Tools and Ontology Platforms import services , 2003, EON.

[12]  Ian Horrocks,et al.  A Software Framework for Matchmaking Based on Semantic Web Technology , 2004, Int. J. Electron. Commer..

[13]  Anupam Joshi,et al.  DReggie: Semantic Service Discovery for M-Commerce Applications , 2001 .

[14]  Diego Calvanese,et al.  The Description Logic Handbook: Theory, Implementation, and Applications , 2003, Description Logic Handbook.

[15]  Timos K. Sellis,et al.  A Ranking Mechanism for SemanticWeb Service Discovery , 2007, 2007 IEEE Congress on Services (Services 2007).

[16]  Asunción Gómez-Pérez,et al.  METHONTOLOGY: From Ontological Art Towards Ontological Engineering , 1997, AAAI 1997.

[17]  David De Roure,et al.  Semantic Resource Matching for Pervasive Environments: The Approach and its Evaluation , 2008 .

[18]  Ayomi Bandara,et al.  Semantic description and matching of services for pervasive environments , 2008 .

[19]  David De Roure,et al.  An Ontological Framework for Semantic Description of Devices , 2004 .

[20]  Angela Schwering,et al.  Hybrid Model for Semantic Similarity Measurement , 2005, OTM Conferences.

[21]  Nicola Guarino,et al.  An Overview of OntoClean , 2004, Handbook on Ontologies.

[22]  Mark A. Musen,et al.  The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility , 2000, EKAW.

[23]  Anupam Joshi,et al.  Enhancing the Bluetooth Service Discovery Protocol , 2001 .