Concept Abduction and Contraction in Semantic-based P2P Environments
Abstract
Reasoning engines are largely used in resource discovery and matchmaking scenarios where, given a request, they are able to provide a list of compatible items arranged in relevance order. A significant added value is the possibility to explain match outcomes in order to obtain information for modifying or refining early queries. Though the feasibility of running logic-based reasoning tasks over various knowledge bases has been widely proven on fixed servers, it is a challenging subject to execute inference processes on handheld devices. The paper presents a revised lightweight version of abduction and contraction algorithms (going back to previous works) for matchmaking in Description Logics in mobile ad-hoc contexts. Implementation and tests have been carried out in a mobile P2P case study based on a simplified Bluetooth interaction paradigm.
Autore Pugliese
Tutti gli autori
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Michele Ruta , Eugenio Di Sciascio , Floriano Scioscia
Titolo volume/Rivista
WEB INTELLIGENCE AND AGENT SYSTEMS
Anno di pubblicazione
2011
ISSN
1570-1263
ISBN
Non Disponibile
Numero di citazioni Wos
Nessuna citazione
Ultimo Aggiornamento Citazioni
Non Disponibile
Numero di citazioni Scopus
22
Ultimo Aggiornamento Citazioni
2017-04-22 03:20:59
Settori ERC
Non Disponibile
Codici ASJC
Non Disponibile
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