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.


Tutti gli autori

  • 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