Customizable Web services matching and ranking tool: implementation and evaluation

Fatma-Ezzahra Gmati, Nadia Yacoubi Ayadi, Afef Bahri, Salem Chakhar, Alessio Ishizaka

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The matchmaking is a crucial operation in Web service discovery and selection. The objective of the matchmaking is to discover and select the most appropriate Web service among the different available candidates. Different matchmaking frameworks are now available in the literature but most of them present at least one of the following shortcomings: (i) use of strict syntactic matching; (ii) use of capability-based matching; (iii) lack of customization support; and (iv) lack of accurate ranking of matching Web services. The objective of this paper is thus to present the design, implementation and evaluation of the Parameterized Matching-Ranking Framework (PMRF). The PMRF uses semantic matchmaking, accepts capability and property attributes, supports different levels of customization and generates a ranked list of Web services. Accordingly, it fully overcomes the first, third and fourth shortcomings enumerated earlier and partially addresses the second one. The PMRF is composed of two layers. The role of the first layer is to parse the input data and parameters and then transfer it to the second layer, which represents the matching and ranking engine. The comparison of PMRF to iSeM-logic-based and SPARQLent, using the OWLS-TC4 datasets, shows that the algorithms supported by PMRF outperform those proposed in iSeM-logic-based and SPARQLent.
Original languageEnglish
Title of host publicationWeb Information Systems and Technologies (WEBIST 2016)
Number of pages22
ISBN (Electronic)978-3319664682
ISBN (Print)978-3319664675
Publication statusPublished - Sept 2017
Event12th International Conference on Web Information Systems and Technologies - Rome, Italy
Duration: 23 Apr 201625 Apr 2016

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer, Cham


Conference12th International Conference on Web Information Systems and Technologies
Abbreviated titleWEBIST 2016


  • Web service
  • semantic similarity
  • matchmaking
  • ranking
  • implementation
  • performance evaluation


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