PMRF: Parameterized Matching-Ranking Framework

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The PMRF (Parameterized Matching-Ranking Framework) is a highly configurable framework supporting a parameterized matching and ranking of Web services. This paper first introduces the matching and ranking algorithms supported by the PMRF. Next, it presents the architecture of the developed system and discusses some implementation issues. Then, it provides the results of performance evaluation of the PMRF. It also compares PMRF to two exiting frameworks, namely iSeM-logic-based and SPARQLent. The different matching and ranking algorithms have been evaluated using the OWLS-TC4 datasets. The evaluation has been conducted employing the SME2 (Semantic Matchmaker Evaluation Environment) tool. The results show that the algorithms behave globally well in comparison to iSeM-logic-based and SPARQLent.
Original languageEnglish
Title of host publicationSoftware engineering research, management and applications
EditorsRoger Lee
Place of PublicationCham, Switzerland
PublisherSpringer
Pages181-198
Number of pages18
ISBN (Electronic)978-3-319-33902-3
ISBN (Print)978-3-319-33903-0
DOIs
Publication statusPublished - 3 Jun 2016
Event14th International Conference on Software Engineering, Artificial Intelligence Research, Management and Applications - Towson University, Maryland, United States
Duration: 8 Jun 201610 Jun 2016
http://orion.towson.edu/~sera/2016/index.html

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X
Name
Volume654

Conference

Conference14th International Conference on Software Engineering, Artificial Intelligence Research, Management and Applications
Abbreviated titleSERA 2016
Country/TerritoryUnited States
CityMaryland
Period8/06/1610/06/16
Internet address

Keywords

  • Web service
  • Service composition
  • Semantic similarity
  • Matchmaking
  • Service ranking

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