An approach for semantic web services automatic discovery and composition with similarity metrics

2009 ◽  
Author(s):  
Ivo Calado ◽  
Heitor Barros ◽  
Ig Ibert Bittencourt
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Semantic Web Services ◽  
Similarity Metrics ◽  
Automatic Discovery

Functional Components Specification in the Semantic SOA-Based Model

2011 ◽  
pp. 277-291
Author(s):  
Tariq Mahmoud ◽  
Jorge Marx Gómez ◽  
Timo von der Dovenmühle
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Efficient Solution ◽  
Reference Model ◽  
Semantic Web Services ◽  
Automatic Discovery ◽  
Transformation Functions ◽  
Semantic Techniques ◽  
Functional Components

Semantic Web Services are providing means for (semi-) automatic discovery, composition, and execution of Web Services. However, these new emerging semantic techniques seem to be inaccurate to be used in terms of semanticizing the capabilities of Web Services and the requests of Web Services consumers. This comes from the blurred representation of their involved ontologies. This chapter presents a semantic Web-Service-based reference model that is mainly relying on the idea of applying lightweight semantics to Web Services in order to have an efficient solution for different business domains. The model advances the reusability of its components and reduces the necessity of data transformation functions in business process descriptions. Furthermore, technical aspects about the core prototypical implementation are described.

Semantic Web Services

2011 ◽  
pp. 191-216
Author(s):  
R. Akkiraju
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Semantic Web Services ◽  
Software Components ◽  
Dynamic Selection ◽  
Automatic Integration ◽  
Web Community ◽  
Automatic Discovery ◽  
Service Standards

The promise of dynamic selection and automatic integration of software components written to Web services standards is yet to be realized. This is partially attributable to the lack of semantics in the current Web service standards. To address this, the Semantic Web community has introduced semantic Web services. By encoding the requirements and capabilities of Web services in an unambiguous and machine-interpretable form, semantics make the automatic discovery, composition and integration of software components possible. This chapter introduces Semantic Web services as a means to achieve this vision. It presents an overview of Semantic Web services, their representation mechanisms, related work and use cases.

PROCESS MODEL ONTOLOGY-BASED MATCHMAKING OF SEMANTIC WEB SERVICES

2011 ◽  
Vol 20 (04) ◽  
pp. 357-370 ◽  
Author(s):  
D. PAULRAJ ◽  
S. SWAMYNATHAN ◽  
M. MADHAIYAN
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Process Model ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Semantic Web Services ◽  
Functional Part ◽  
Service Oriented ◽  
Concise Description

One of the key challenges of the Service Oriented Architecture is the discovery of relevant services for a given task. In Semantic Web Services, service discovery is generally achieved by using the service profile ontology of OWL-S. Profile of a service is a derived, concise description and not a functional part of the semantic web service. There is no schema present in the service profile to describe the input, output (IO), and the IOs in the service profile are not always annotated with ontology concepts, whereas the process model has such a schema to describe the IOs which are always annotated with ontology concepts. In this paper, we propose a complementary sophisticated matchmaking approach which uses the concrete process model ontology of OWL-S instead of the concise service profile ontology. Empirical analysis shows that high precision and recall can be achieved by using the process model-based service discovery.

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