scholarly journals A Goal Driven Framework for Service Discovery in Service-Oriented Architecture: A Multiagent Based Approach

2010 ◽  
pp. 287-292
Author(s):  
Ujjal Marjit ◽  
Arup Sarkar ◽  
Subhrangsu Santra ◽  
Utpal Biswas
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Resource Sharing ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Semantic Web Service ◽  
Agent Based ◽  
Service Oriented ◽  
Multi Agent ◽  
Client Program

Automated service discovery is one of the very important features in any Semantic Web Service (SWS) based framework. Achieving this functionality in e-resource sharing system is not an easy task due to its hugeness and heterogeneity among the available resources. Any efficient automated service discovery will remain worthless until discovered services fulfill the required goal(s) demanded by the user or the client program. In this paper we have proposed a goal driven approach towards an automated service discovery using Agent Swarm in an innovative way .A novel multi agent based architecture has been introduced here for service discovery. Communications among the agent in service-oriented framework for the said purpose has also been illustrated here. Finally, the pictorial view of the running agent in the system is shown.

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.

Abstract Service for Cyber Physical Service Composition

2013 ◽  
pp. 303-322 ◽  
Author(s):  
Yajing Zhao ◽  
Jing Dong ◽  
Jian Huang ◽  
Yansheng Zhang ◽  
I-Ling Yen ◽  
...  
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Service Composition ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Cyber Physical Systems ◽  
Software Systems ◽  
Physical Systems ◽  
Service Oriented

The collaboration of cyber physical systems poses many real-world challenges, such as knowledge restriction, resource contention, and communication limitation. Service oriented architecture has been proven effective in solving interoperability issues in the software engineering field. The semantic web service helps to automate service discovery and integration with semantic information. This chapter models cyber physical system functionalities as services to solve the collaboration problem using semantic web services. We extend the existing OWL-S framework to address the natures of the cyber physical systems and their functionalities, which are different from software systems and their functionalities. We also present a case study to illustrate our approach.

scholarly journals A semantic web services discovery approach integrating multiple similarity measures and k-means clustering

2021 ◽  
Vol 24 (2) ◽  
pp. 1228
Author(s):  
Mourad Fariss ◽  
Naoufal El Allali ◽  
Hakima Asaidi ◽  
Mohamed Bellouki
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Similarity Measures ◽  
Web Service Discovery ◽  
Service Oriented ◽  
The Web ◽  
Similarity Scores

Web service (WS) discovery is an essential task for implementing complex applications in a service oriented architecture (SOA), such as selecting, composing, and providing services. This task is limited semantically in the incorporation of the customer’s request and the web services. Furthermore, applying suitable similarity methods for the increasing number of WSs is more relevant for efficient web service discovery. To overcome these limitations, we propose a new approach for web service discovery integrating multiple similarity measures and k-means clustering. The approach enables more accurate services appropriate to the customer's request by calculating different similarity scores between the customer's request and the web services. The global semantic similarity is determined by applying k-means clustering using the obtained similarity scores. The experimental results demonstrated that the proposed semantic web service discovery approach outperforms the state-of-the approaches in terms of precision (98%), recall (95%), and F-measure (96%). The proposed approach is efficiently designed to support and facilitate the selection and composition of web services phases in complex applications.

Abstract Service for Cyber Physical Service Composition

2014 ◽  
pp. 2056-2076
Author(s):  
Yajing Zhao ◽  
Jing Dong ◽  
Jian Huang ◽  
Yansheng Zhang ◽  
I-Ling Yen ◽  
...  
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Service Composition ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Cyber Physical Systems ◽  
Software Systems ◽  
Physical Systems ◽  
Service Oriented

The collaboration of cyber physical systems poses many real-world challenges, such as knowledge restriction, resource contention, and communication limitation. Service oriented architecture has been proven effective in solving interoperability issues in the software engineering field. The semantic web service helps to automate service discovery and integration with semantic information. This chapter models cyber physical system functionalities as services to solve the collaboration problem using semantic web services. We extend the existing OWL-S framework to address the natures of the cyber physical systems and their functionalities, which are different from software systems and their functionalities. We also present a case study to illustrate our approach.

The Research of Semantic Web Service Matching Algorithm Based on the Formal Concept Analysis

2013 ◽  
Vol 760-762 ◽  
pp. 1708-1712
Author(s):  
Ying Fang Li ◽  
Ying Jiang Li ◽  
Yan Li ◽  
Yang Bo
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Formal Concept Analysis ◽  
Service Discovery ◽  
Concept Lattice ◽  
Concept Analysis ◽  
Formal Concept ◽  
Semantic Web Service ◽  
Matching Algorithm ◽  
Service Matching

At present, as the number of web services resources on the network drastically increased, how to quickly and efficiently find the needed services from publishing services has become a problem to resolve. Aiming at the problems of low efficiency in service discovery of traditional web service, the formal concept analysis ( FCA) is introduced into the semantic Web service matching, and a Matching Algorithm based semantic web service is proposed. With considering the concept of limited inheritance,this method introduces the concept of limited inheritance to the semantic similarity calculation based on the concept lattice. It is significant in enhancing the service function matching in practical applications through adjust the calculation.

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