IEEE International Conference on Services Computing (SCC 2007) 2007
DOI: 10.1109/scc.2007.131
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Web Service Discovery: Adding Semantics through Service Request Expansion and Latent Semantic Indexing

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Cited by 33 publications
(20 citation statements)
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“…The basic idea of the proposed approach is to enhance the service request with relevant ontology terms and then find the similarity measure of the semantically enhanced service request with the web service description vectors generated in the service refinement phase [27]. For evaluating this similarity, we employ LSI-based technique that uses cosine measure as the similarity metric.…”
Section: Semantic Similarity-based Matchingmentioning
confidence: 99%
See 1 more Smart Citation
“…The basic idea of the proposed approach is to enhance the service request with relevant ontology terms and then find the similarity measure of the semantically enhanced service request with the web service description vectors generated in the service refinement phase [27]. For evaluating this similarity, we employ LSI-based technique that uses cosine measure as the similarity metric.…”
Section: Semantic Similarity-based Matchingmentioning
confidence: 99%
“…To be able to evaluate, we developed a prototype of our approach. The implementation and deployment details of our approach are described in [27].…”
Section: Experimental Evaluationmentioning
confidence: 99%
“…Although WSDL files can be sparse, they discovered that a even a basic analysis of the keywords found in WSDL sources can be enough to build a usable search engine for web service discovery based on their approach. Paliwal et al [14] extended this idea with a novel approach to web service discovery by applying Latent Semantic Indexing (LSI) to information derived from WSDL service descriptions. In their work, they also faced the issue of limited information in the service descriptions, and addressed the problem by linking results with a domain ontology.…”
Section: Related Workmentioning
confidence: 99%
“…More recently, LSI is used for discovering Web services [23,27]. Sajjanhar [27] designs an algorithm for Web service matching based on SVD.…”
Section: Related Workmentioning
confidence: 99%
“…One possible solution to this problem is to describe services capabilities by using the Semantic Web. For example, some research [22,23,24] uses ontology to annotate the elements in Web services for finding common semantic concepts between the query and services' advertisements. However, much of work in this area is still in its infancy [4], and integrating different ontologies may be difficult while the creation and maintenance of consistent semantic annotations on the Web may involve a huge amount of human effort [17,1,16].…”
Section: Introductionmentioning
confidence: 99%