An approach to integrated semantic service discovery

Authors:
Shanshan Jiang;Finn Arve Aagesen
Affiliations:
Department of Telematics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Department of Telematics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Venue:
AN'06 Proceedings of the First IFIP TC6 international conference on Autonomic Networking
Year:
2006

Citing 8
Cited 2

Knowledge engineering: principles and methods

Data & Knowledge Engineering - Special jubilee issue: DKE 25
XML Declarative Description: A Language for the Semantic Web

IEEE Intelligent Systems
Semantic Matching of Web Services Capabilities

ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A model for web services discovery with QoS

ACM SIGecom Exchanges
A Framework and Ontology for Dynamic Web Services Selection

IEEE Internet Computing
Service discovery and measurement based on DAML-QoS ontology

WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
A Framework for Dynamic Service Composition

WOWMOM '05 Proceedings of the First International IEEE WoWMoM Workshop on Autonomic Communications and Computing (ACC'05) - Volume 02
A framework for semantic web services discovery

Proceedings of the 7th annual ACM international workshop on Web information and data management

A taxonomy and classification of web service QoS elements

International Journal of Communication Networks and Distributed Systems
Reliable Web service selection in choreographed environments

Decision Support Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In a distributed service environment, service discovery is a core functionality to locate the desired services. We propose an integrated semantic service discovery approach based on ontology, which provides matching of functional and non-functional properties. Functional properties are described in terms of operations, inputs, outputs, preconditions and effects, while non-functional properties are specified as business policies, QoS properties and context policies. Ontological inference and rule-based reasoning are applied for automatic and accurate discovery.