Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Information Retrieval
Information clustering based on fuzzy multisets
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
A software framework for matchmaking based on semantic web technology
WWW '03 Proceedings of the 12th international conference on World Wide Web
Information Technology and Management
Dynamic Discovery and Coordination of Agent-Based Semantic Web Services
IEEE Internet Computing
Fuzzy Matchmaking for Web Services
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
Comparing Relationships in Conceptual Modeling: Mapping to Semantic Classifications
IEEE Transactions on Knowledge and Data Engineering
Similarity-based Web Service Matchmaking
SCC '05 Proceedings of the 2005 IEEE International Conference on Services Computing - Volume 01
Journal of the American Society for Information Science and Technology
Bringing semantics to web services: the OWL-S approach
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
Semantic Web Content Analysis: A Study in Proximity-Based Collaborative Clustering
IEEE Transactions on Fuzzy Systems
Description logic programs under probabilistic uncertainty and fuzzy vagueness
International Journal of Approximate Reasoning
Ontology-Based Intelligent Web Mining Agent for Taiwan Travel
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Fuzzy extensions of OWL: Logical properties and reduction to fuzzy description logics
International Journal of Approximate Reasoning
Constructing tree-based knowledge structures from text corpus
Applied Intelligence
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
Enhancing context sensitivity of geo web resources discovery by means of fuzzy cognitive maps
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Facilitating enterprise service discovery for non-technical business users
ICSOC'10 Proceedings of the 2010 international conference on Service-oriented computing
Semantic service matchmaking for Digital Health Ecosystems
Knowledge-Based Systems
Combining uncorrelated similarity measures for service discovery
RED'10 Proceedings of the Third international conference on Resource Discovery
A new matchmaking approach based on abductive conjunctive query answering
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
An abductive CQA based matchmaking system for finding renting houses
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
A survey of fuzzy service matching approaches in the context of on-the-fly computing
Proceedings of the 16th International ACM Sigsoft symposium on Component-based software engineering
Future Generation Computer Systems
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Deploying the semantics embedded in web services is a mandatory step in the automation of discovery, invocation and composition activities. The semantic annotation is the ''add-on'' to cope with the actual interoperability limitations and to assure a valid support to the interpretation of services capabilities. Nevertheless many issues have to be reached to support semantics in the web services and to guarantee accurate functionality descriptions. Early efforts address automatic matchmaking tasks, in order to find eligible advertised services which appropriately meet the consumer's demand. In the most of approaches, this activity is often entrusted to software agents, able to drive reasoning/planning activities, to discover the required service which can be single or composed of more atomic services. This paper presents a hybrid framework which achieves a fuzzy matchmaking of semantic web services. Central role is entrusted to task-oriented agents that, given a service request, interact to discover approximate reply, when no exact match occurs among the available web services. The matchmaking activity exploits a mathematical model, the fuzzy multiset to suitably represent the multi-granular information, enclosed into an OWLS-based description of a semantic web service.