Toward an Integrated Ontology for Web Services

Chabeb, Yassin; Tata, Samir; Belaïd, Djamel

doi:10.1109/iciw.2009.74

Cited by 12 publications

(9 citation statements)

References 4 publications

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“…The approach relies on several matchers (e.g., string matcher, structural matcher, and synonym finder), which are combined using a simple aggregation function. Chabeb et al [9] describe a technique for performing semantic annotation on web services and integrating the results into WSDL. Duo et al [10] present a similar approach, which also aggregates results from several matchers.…”

Section: Web Service Annotationmentioning

confidence: 99%

Bootstrapping Ontologies for Web Services

Segev

Sheng

2012

IEEE Trans. Serv. Comput.

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Abstract-Ontologies have become the de-facto modeling tool of choice, employed in many applications and prominently in the semantic web. Nevertheless, ontology construction remains a daunting task. Ontological bootstrapping, which aims at automatically generating concepts and their relations in a given domain, is a promising technique for ontology construction. Bootstrapping an ontology based on a set of predefined textual sources, such as web services, must address the problem of multiple, largely unrelated concepts. In this paper, we propose an ontology bootstrapping process for web services. We exploit the advantage that web services usually consist of both WSDL and free text descriptors. The WSDL descriptor is evaluated using two methods, namely Term Frequency/Inverse Document Frequency (TF/IDF) and web context generation. Our proposed ontology bootstrapping process integrates the results of both methods and applies a third method to validate the concepts using the service free text descriptor, thereby offering a more accurate definition of ontologies. We extensively validated our bootstrapping method using a large repository of real-world web services and verified the results against existing ontologies. The experimental results indicate high precision. Furthermore, the recall versus precision comparison of the results when each method is separately implemented presents the advantage of our integrated bootstrapping approach.Index Terms-Web services discovery, metadata of services interfaces, service-oriented relationship modeling.

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Section: Web Service Annotationmentioning

confidence: 99%

Bootstrapping Ontologies for Web Services

Segev

Sheng

2012

IEEE Trans. Serv. Comput.

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“…A service description in YASA can define for each WSDL element two attributes providing semantic description [6]. The first attribute, called serviceConcept, contains a set of URI referencing the corresponding concepts in the Service Ontology (so called Technical Service Ontology [22]). The second attribute, called modelReference, contains a set of URI corresponding to the first list and which define the semantics in one or several Domain Ontologies.…”

Section: A Service Descriptionmentioning

confidence: 99%

YASA-M: A Semantic Web Service Matchmaker

Chabeb

Tata

Ozanne

2010

2010 24th IEEE International Conference on Advanced Information Networking and Applications

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In this paper, we present new algorithms for matching Web services described in YASA4WSDL (YASA for short). We have already defined YASA that overcomes some issues missing in WSDL or SAWSDL. In this paper, we continue on our contribution and show how YASA Web services are matched based on the specificities of YASA descriptions. Our matching algorithm consists of three variants based on three different semantic matching degree aggregations. This algorithm was implemented in YASA-M, a new Web service matchmaker. YASA-M is evaluated and compared to well known approaches for service matching. Experiments show that YASA-M provides better results, in terms of precision, response time, and scalability, than a well known matchmaker.

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“…Chabeb et al describe another ontology of integration in [33]. They discuss a systematic approach to generate mappings between OWL-S, WSMO and plain WSDL services, matching concepts from the different SWS ontologies using similarity techniques that validate the inferred correspondences.…”

Section: Related Workmentioning

confidence: 99%

“…In this case, generated queries have to be also based on graph patterns ranging over that SWS framework RDF representation. Nevertheless, to better account for interoperability some proposals that integrate SWS framework definitions [32,33,34] can also apply our proposed filters (see Section 6).…”

Section: A Sparql Implementation For Filtersmentioning

confidence: 99%