Semantic web services discovery in multi-ontology environment

Authors:
Sasiporn Usanavasin;Shingo Takada;Norihisa Doi
Affiliations:
Graduate School of Science and Technology, Keio University, Yokohama, Japan;Graduate School of Science and Technology, Keio University, Yokohama, Japan;Faculty of Science and Engineering, Chuo University, Japan
Venue:
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Year:
2005

Citing 5
Cited 2

A translation approach to portable ontology specifications

Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Information Retrieval

Information Retrieval
Determining Semantic Similarity among Entity Classes from Different Ontologies

IEEE Transactions on Knowledge and Data Engineering
Semantic Matching of Web Services Capabilities

ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence

Asymmetric and context-dependent semantic similarity among ontology instances

Journal on data semantics X
Semantic similarity of ontology instances tailored on the application context

ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

Web services are becoming the basis for electronic commerce of all forms. The number of services being provided is increasing but different service providers use different ontologies for services’ descriptions. This has made it difficult for service discovery agents to compare and locate the desired services. Inputs and outputs are important pieces of information that can be used when searching for the needed services. Therefore, in this paper, to facilitate users or software agents for discovering Web services in multi-ontology environments, we propose an approach to determine the semantic similarity of services’ inputs/outputs that are described by different ontologies.