Authors:
Lorena Erdens
1
;
Daniela Barreiro Claro
1
;
Denivaldo Lopes
2
and
Patrick Albers
3
Affiliations:
1
Federal University of Bahia (UFBA), Brazil
;
2
Federal University of Maranhao (UFMA), Brazil
;
3
ESEO, France
Keyword(s):
Cloud Services, Discovery, Semantic Web, Preconditions and Effects, Information Systems.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Cloud Computing
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Mobile Software and Services
;
Ontologies and the Semantic Web
;
Semantic Web Technologies
;
Sensor Networks
;
Services Science
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Software Engineering
;
Software Engineering Methods and Techniques
;
Symbolic Systems
;
Telecommunications
;
Web Services
;
Wireless Information Networks and Systems
Abstract:
Nowadays, most of companies deploy their services as a Web service format over the Internet. Additionally, cloud environments are dealing with web services published on the Internet. The use of the services deployed is subject to its discovery. Many techniques are being developed to increase the description of a web service, thus automating their discovery and providing more significant results. Such techniques are based on semantic concepts to provide more unambiguous information on describing such services. This paper proposes to discover cloud services based on the semantic Web, especially on preconditions and effects. Several works have been carried out on preconditions and effects, however we have achieved more accurate results using service descriptions based on conditions. We present our approach examining three main aspects: (i) relevant retrieved services (ii) complexity and (iii) execution time and we compare with other closely related work in an attempt to position our wor
k and our results.
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