A Semantic Search Agent Approach: Finding Appropriate Semantic Web Services Based on User Request Term(S)

Çelik, Duygu; Elgi, A.

doi:10.1109/itict.2005.1609659

Cited by 13 publications

(8 citation statements)

References 2 publications

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“…The UDDI search is based on metadata of services like service name, providers name and t-Model name. Hence UDDI bridges the gap between service providers and consumers, helps in discovery and invoking of services through a public or private dynamic brokerage system [8]. It also provides search facilities to users in order to invoke published services, based on keyword matching.…”

Section: Sws Discovery Selection and Matchmakingmentioning

confidence: 99%

Semantic Web Services - Discovery, Selection and Composition Techniques

S¹,

Ananthanarayana

India³

2013

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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Section: Sws Discovery Selection and Matchmakingmentioning

confidence: 99%

Semantic Web Services - Discovery, Selection and Composition Techniques

S¹,

Ananthanarayana

India³

2013

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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“…Using the semantic web application the list of ontologies is parsed and the required ontology is obtained depending on the user queries and the corresponding web service [2] is invoked by getting the address from the UDDI. The Architecture for Efficient Querying of Web Services using Ontologies shown in Figure 2.…”

Section: Web Service Discovery Based On User Requestmentioning

confidence: 99%

“…Simple Object Access Protocol [SOAP] can be used as the communication protocol, and the Input 0utput signatures for web services are given by Web Services Description Language [WSDL]. UDDI provides the methods to publish and discover web services [2] through a UDDI registry. The issues faced in discovering the required web services by a user increases the complexity of search as well points out the need for semantic components in current web service technologies (UDDI, WSDL).…”

Section: Introductionmentioning

confidence: 99%

Efficient Querying of Web Services Using Ontologies

Saravanan

Kripeshwari

Thangavelu

2010

Journal of Algorithms & Computational Technology

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The Semantic Web [1] is well recognized as an effective infrastructure to improve visibility of knowledge on the web. Ontology [9] forms the backbone of the semantic web, which is used to explicitly represent conceptualizations. Ontology engineering in the Semantic Web is primarily supported by languages such as RDF, RDFS and OWL. Most web service search, retrieve the information based on the keyword match without lookup into their relevance. This research work focuses on making the web service search simple for users who need to retrieve the services from the UDDI server. The System is implemented using Protégé 2000 for building ontologies and a Java API for retrieving meaningful results by parsing ontologies. TheWorldNet dictionary is used to semantically enhance the meaning of the query by helping the user, identify his exact interest of search and also to generate and save an OWL file. This file can be used for parsing when a similar query is given to be searched and also given to UDDI server to invoke the web service and retrieve the results.

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“…OWL-S is an extended OWL ontology for modelling of semantic web services. However, according to references [40,68] and [69] the expressiveness of OWL alone is not enough for the specification of web services. To overcome this limitation, OWL-S has been developed for combining different notations and semantics with OWL and it is therefore an OWL ontology that specifies the concept of web services.…”

Section: Enterprise Ontologiesmentioning

confidence: 99%

Semantic web in manufacturing

Khilwani

Harding

Choudhary

2009

Proceedings of the Institution of Mechanical Engineers, Part B:

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Advances in manufacturing systems include attempts to create collaborative networks for enterprise integration and information interoperability. To achieve collaboration and sharing effectively, various networking technologies have been proposed in the literature. The web has emerged as a basic entity for interconnecting man and machine and almost all parts of the enterprise community are being reshaped to exploit the opportunities that it offers. Apart from web technology, there are various other tools and techniques that have attracted research communities for representing data in ways that both machines and humans can understand. Semantic web, the second-generation web technology, is enriched by machine-processable information to support the users in their tasks. This paper presents the vision of the semantic web and describes ontologies and associated metadata as the building blocks of the semantic web. It reviews the literature dealing with the application of the semantic web and ontology in the broad domain of manufacturing. First, brief details about key enablers, i.e. web services, semantic web, semantic services, and ontology, are presented. Then the implementation of these approaches in different sectors of manufacturing is discussed. A knowledge base for all the information resources concerned with the manufacturing domain is also built up in this paper. An ontology model for a knowledge base of information resources is designed in Prot eg e software, which can be used for storing and searching information about authors, journals, blogs, newspapers, and many other sources of information.

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A Semantic Search Agent Approach: Finding Appropriate Semantic Web Services Based on User Request Term(S)

Cited by 13 publications

References 2 publications

Semantic Web Services - Discovery, Selection and Composition Techniques

Semantic Web Services - Discovery, Selection and Composition Techniques

Efficient Querying of Web Services Using Ontologies

Semantic web in manufacturing

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