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Automatic Matchmaking of Web Services

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Web services using DAML-S ontology. The middle agent uses existing matchmaking algorithm to compare requested service with advertised services [3]​.

Scientific Research An Academic Publisher. Cardoso and A. Sheth, Eds. Lara, H. Lausen, S. Arroyo, J. McIlraith, T. Son and H. Nixon and E. ID1, Knowledge Web Project, Wang, J. Huang, Y. Qu and J.

Matchmaking of Semantic Web Services Using Semantic-Distance Information

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uses matchmaking algorithms to help users filter and select services while building the composition. Indeed, it is the filtering and selection of services that helps.

To browse Academia. Skip to main content. Log In Sign Up. Download Free PDF. Object-oriented similarity measures for semantic web service matchmaking Web Services, Nick Bassiliades.

YASA-M : a semantic Web service matchmaker

Simha Magal. Eugenio Di Sciascio, Francesco M. The promise of the Semantic Web is to make machine understandable all the information available on the Web. The knowledge on any specific domain can be stored in an explicit and reusable format by means of ontology languages.

Semantic Matchmaking Algorithm invoke a Web Service is a critical aspect a syntax-based search, matchmaking algorithms; originally proposed by M.

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Matchmaking of Semantic Web Services Using Semantic-Distance Information

Farrag, Tamer Ahmed. Web Services. Web 3. SWSs Matchmaking Algorithm. Only 14 pages are availabe for public view.

This paper shows a matchmaking algorithm to discover Semantic Web Services that are satisfying client requirements. It depends on two factors that distinguish.

UltiMatch-NL applies two filters namely Signature-based and Description-based on different abstraction levels of a service profile to achieve more accurate results. More specifically, the proposed filters rely on semantic knowledge to extract the similarity between a given pair of service descriptions. Thus it is a further step towards fully automated Web service discovery via making this process more semantic-aware.

In addition, a new technique is proposed to weight and combine the results of different filters of UltiMatch-NL, automatically. Moreover, an innovative approach is introduced to predict the relevance of requests and Web services and eliminate the need for setting a threshold value of similarity. The performance evaluation based on standard measures from the information retrieval field shows that semantic matching of OWL-S services can be significantly improved by incorporating designed matching filters.

This is an open-access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Information Services for Dynamically Assembled Semantic Grids

Discovery of semantic Web services is a heavyweight task when the number of Web services or the complexity of ontologies increases. In this paper, we present a new logical discovery framework based on semantic description of the capability of Web services and user goals using F-logic. Our framework tackles the scalability problem and improves discovery performance by adding two prefiltering stages to the discovery engine. The first stage is based on ontology comparison of user request and Web service categories.

In the second stage, yet more Web services are eliminated based upon a decomposition and analysis of concept and instance attributes used in Web service capabilities and the requested capabilities of the client, resulting in a much smaller pool of Web services that need to be matched against the client request.

To achieve this, the semantic Web service matchmaking framework is one of the The discovery process uses a matchmaking algorithm to find potential Having.

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken. Zur Langanzeige. JavaScript is disabled for your browser. Some features of this site may not work without it. Zusammenfassung In the Semantic Web the discovery of appropriate Semantic Web Services for a given service request, the so-called matchmaking, is a crucial task in order to bring together Web Service provider and users in an automatic manner. While most of the current matchmaking algorithms focus on purely syntactic or semantic similarity or a combination of both hybrid approaches , the user is not taken into account in the matchmaking process itself.

Graph-Based Semantic Web Service Composition for Healthcare Data Integration

Over the last decade, a great amount of effort and resources have been invested in the development of Semantic Web Service SWS frameworks. Numerous description languages, frameworks, tools, and matchmaking and composition algorithms have been proposed. Nevertheless, when faced with a real-world problem, it is still very hard to decide which of these different approaches to use.

In this book, the editors present an overall overview and comparison of the main current evaluation initiatives for SWS.

To achieve this, the semantic Web service matchmaking framework is one of the The discovery process uses a matchmaking algorithm to find potential Having.

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Automatic Matchmaking of Web Services

To overcome the limitation of the basic algorithm, we must apply semantic. In this paper, we first explore. We then. Finally, the experimental results demonstrate that our similarity measure is effective.

the limitations of a syntax-based search, matchmaking algorithms based on semantic techniques have been proposed. As a greater number of Web Services are.

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An important component of the discovery process is the matchmaking algorithm itself.

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This paper mainly focuses on proposing efficient and extensible matchmaking architecture. Current matchmaking architectures and algorithms lack vision and they are unable to use all available information. However, our proposed architecture uses information such as path-length of the ontological tree nodes and partial results sets for composing required service even no exact match is found. Semantic-distance information may be used as selection criteria and it provides accuracy in service selection.

To define concept-similarity rating by ontology managers or local users may provide a way for service selection. We can then gather second level of information other than the pre-defined match levels such as exact, subsume or plug-in.

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As the number of available Web services increase finding appropriate Web services to fulfill a given request becomes an important task. Most of the current solutions and approaches in Web service discovery are limited in the sense that they are strictly defined, and they do not use the full power of semantic and ontological representation. Service matchmaking, which deals with similarity between service definitions, is highly important for an effective discovery.

Studies have shown that use of semantic Web technologies improves the efficiency and accuracy of matchmaking process. In this research we focus on one of the most challenging tasks in service discovery and composition: Service matchmaking. We introduce an efficient matchmaking algorithm based on bipartite graphs. We have seen that bipartite matchmaking has advantages over other approaches in the literature for parameter pairing problem, which deals with finding the semantically matching parameters in a service pair.

Our proposed algorithm ranks the services in a candidate set according to their semantic similarity to a certain request. Our matchmaker performs the semantic similarity assignment implementing the following approaches: Subsumption-based similarity, propertylevel similarity, similarity distance annotations and WordNet-based similarity. Our results show that the proposed matchmaker enhances the captured semantic similarity, providing a finegrained approach in semantic matchmaking.

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