Improving Web Service Discovery by a Functional and Structural Approach

Amorim, Rodrigo; Claro, Daniela Barreiro; Lopes, Denivaldo; Albers, Patrick; Andrade, Adnei Melges de

doi:10.1109/icws.2011.14

Cited by 17 publications

(14 citation statements)

References 8 publications

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“…The majority of approaches (such as [7,9,[23][24][25][26]) that work in our field and are mentioned in related works evaluated efficiency and accuracy of their works based on OWLS-TC version 3 test collection. Among all related works, authors of [36] evaluated their proposal based on last version of OWLS-TC test collection, but only input and output parameters are considered for evaluation of their work.…”

Section: Resultsmentioning

confidence: 99%

Prefiltering Strategy to Improve Performance of Semantic Web Service Discovery

Ghayekhloo

Bayram

2015

Scientific Programming

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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. Our prefiltering approach is evaluated using a new Web service repository, called WSMO-FL test collection. The recall rate of the filtering process is 100% by design, since no relevant Web services are ever eliminated by the two prefiltering stages, and experimental results show that the precision rate is more than 53%.

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Section: Resultsmentioning

confidence: 99%

Prefiltering Strategy to Improve Performance of Semantic Web Service Discovery

Ghayekhloo

Bayram

2015

Scientific Programming

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“…The method [12] which combined semantic matching based on logic and structural analysis has proposed by Rodrigo Amorim et. al.…”

Section: Related Researchmentioning

confidence: 99%

“…LSO (W1, W2) says the minimum common parent concept of W1 and w2. the path factor of two concepts is also considered in this model, because if the common parent of two concepts have the same value, and the IC values of two concept are the same, or the sum of IC value of two concepts is the same, but the path distance between two concepts is inequality, under this condition, using Resnik [11], Jiang and Conrath [12] semantic similarity algorithm can't distinguish the difference, but the calculation model presented in this paper is very easy to distinguish, which makes the calculation of semantic similarity between concepts is more accurate.…”

Section: Algorithm Descriptionmentioning

confidence: 99%

“…We adapt IC computing model in [12], this model not only take the nodes of sub nodes into account, but also the depth of each concept is also included, the purpose is to make each concept has an accurate IC value. Because the owls-tc2.0 was used as test set, so the IC value is calculated IC value of the owls-tc2.0 definition of the concept of ontology.…”

Section: Algorithm Descriptionmentioning

confidence: 99%

“…When calculating the similarity with the semantic similarity algorithm based on information content and Conrath [12] concept semantic similarity algorithm, the information content and the two concepts in the classification of the position in the tree are taken into account, computational methods in [18] is adapted. As shown in formula (2).…”

Section: Algorithm Descriptionmentioning

confidence: 99%

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