A Similarity Measure across Ontologies for Web Services Discovery

نویسندگان

  • Fellah Aissa
  • Mimoun Malki
  • Atilla Elçi
چکیده

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure. KEyWORDS Ontology, Ontology Matching, Semantic Similarity Measure, Web Services Discovery

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Similarity Measurement about Ontology-based Semantic Web Services

Measurement of semantic similarity between Web services is an important factor for Web service discovery, composition, and even execution. Semantic Web services (SWS) are usually specified based on ontologies. The measurement of semantic similarity between Web services thus can be reduced to computing semantic distances between ontologies. In this paper, we briefly surveyed three major existing...

متن کامل

A procedure for Web Service Selection Using WS-Policy Semantic Matching

In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy semantic matching. In this study, the procedure of WS-Policy publi...

متن کامل

Web Service Clustering using a Hybrid Term-Similarity Measure with Ontology Learning

Clustering Web services into functionally similar clusters is a very efficient approach to service discovery. A principal issue for clustering is computing the semantic similarity between services. Current approaches use similarity-distance measurement methods such as keyword, information-retrieval or ontology based methods. These approaches have problems that include discovering semantic chara...

متن کامل

MOD - A Multi-Ontology Discovery System

The rapid development of semantic web services has led to a demand for a semantic web service discovery mechanism. Though such discovery systems have been developed, there is a lack of support for matching semantic web services which use different ontologies. This paper introduces a general framework for the discovery of web services that use both the same ontology as well as different ontologi...

متن کامل

Novel Semantic Model for Intelligent Discovery of Web Services

Main challenges to the current semantic web service technologies are exponential continuous growth in the number of services on the Internet, syntax based discovery, lack of common agreed upon semantic service standards and heterogeneity of ontologies. In this paper, a service discovery approach independent of semantic service description models is proposed to solve the challenges of the curren...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • IJITWE

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2016