Abduction and Contraction for Semantic-Based Mobile Dating in P2P Environments

In a generic semantic-based matchmaking process, given a request, it is desirable to obtain a ranked list of compatible services/resources/profiles in order of relevance. Furthermore, a match explanation can provide useful information to modify or refine the original request in a principled way. Though the feasibility of such an approach has been proved with fixed reasoning engines, it is a challenging subject to perform inference tasks on handheld devices. Here we propose abduction and contraction algorithms in Description Logics specifically devised for applications in mobile environments. A simple interaction paradigm based on Bluetooth protocol stack has also been implemented and tested in a mobile dating case study.

[1]  Francesco M. Donini,et al.  Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach , 2007, J. Artif. Intell. Res..

[2]  Ian Horrocks,et al.  OIL: An Ontology Infrastructure for the Semantic Web , 2001, IEEE Intell. Syst..

[3]  Tommaso Di Noia,et al.  A Nonmonotonic Approach to Semantic Matchmaking and Request Refinement in E-Marketplaces , 2007, Int. J. Electron. Commer..

[4]  Amihai Motro,et al.  VAGUE: a user interface to relational databases that permits vague queries , 1988, TOIS.

[5]  Sudhir Agarwal,et al.  SMART - a semantic matchmaking portal for electronic markets , 2005, Seventh IEEE International Conference on E-Commerce Technology (CEC'05).

[6]  Peter Gärdenfors,et al.  Knowledge in Flux: Modeling the Dynamics of Epistemic States , 2008 .

[7]  Daniel Kuokka,et al.  Integrating information via matchmaking , 1996, Journal of Intelligent Information Systems.

[8]  Francesco M. Donini,et al.  Semantic based collaborative P2P in ubiquitous computing , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

[9]  P G rdenfors,et al.  Knowledge in flux: modeling the dynamics of epistemic states , 1988 .

[10]  Matthias Klusch,et al.  Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace , 2002, Autonomous Agents and Multi-Agent Systems.

[11]  Francesco M. Donini,et al.  Concept abduction and contraction for semantic-based discovery of matches and negotiation spaces in an e-marketplace , 2004, ICEC '04.

[12]  Matthias Klusch,et al.  Automated semantic web service discovery with OWLS-MX , 2006, AAMAS '06.