Semantic matchmaking in a P-2-P electronic marketplace
Proceedings of the 2003 ACM symposium on Applied computing
3APL-M platform for deliberative agents in mobile devices
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
The Description Logic Handbook
The Description Logic Handbook
A Tableau Algorithm for Description Logics with Concrete Domains and General TBoxes
Journal of Automated Reasoning
A semantic-based mobile registry for dynamic RFID-based logistics support
Proceedings of the 10th international conference on Electronic commerce
A Nonmonotonic Approach to Semantic Matchmaking and Request Refinement in E-Marketplaces
International Journal of Electronic Commerce
Semantic matchmaking as non-monotonic reasoning: a description logic approach
Journal of Artificial Intelligence Research
Reasoning in Pervasive Environments: An Implementation of Concept Abduction with Mobile OODBMS
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
An Automatically Composable OWL Reasoner for Resource Constrained Devices
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
Towards a fuzzy description logic for the semantic web (preliminary report)
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
CADE' 20 Proceedings of the 20th international conference on Automated Deduction
User profiles and matchmaking on mobile phones
INAP'05 Proceedings of the 16th international conference on Applications of Declarative Programming and Knowledge Management
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Novel wireless handheld devices allow the adoption of revised and adapted discovery approaches originally devised for the Semantic Web in mobile ad-hoc networks. Nevertheless, capabilities of such devices require an accurate re-design of frameworks and algorithms to efficiently support mobile users. The paper focuses on an implementation of concept abduction and contraction algorithms in (fuzzy) ${\mathcal{ALN}}$(D) DL settings to perform semantic matchmaking and provide logical explanation services. OWL-DL Knowledge Bases have been properly exploited to enable standard and non-standard inference services. The proposed framework has been implemented and tested in a fire hazards prevention case study: early experimental results are reported.