Efficient versus accurate algorithms for computing a semantic logic-based similarity measure

Fatma-Ezzahra Gmati, Salem Chakhar, Nadia Yacoubi-Ayadi, Afef Bahri, Mark Xu

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

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Abstract

There are three types of Web services matchmakers: logic-based, non logic-based, and hybrid. Logic-based matchmakers employ the semantics of the Web services. Non-logic based matchmakers employ other approaches such as syntactic and structural matching. Hybrid matchmakers combine both approaches. This paper presents and compares two algorithms for computing a semantic logic-based similarity measure in the perspective of Web service matching. The first algorithm offers an efficient solution, while the second algorithm proposes a more accurate result. Both algorithms are evaluated using the SME2 tool. Performance evaluation shows that efficient algorithm reduces substantially the computing time while the accurate algorithm ameliorates considerably the precision of the matching process
Original languageEnglish
Title of host publicationRecent Trends and Future Technology in Applied Intelligence
Subtitle of host publication31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Montreal, QC, Canada, June 25-28, 2018, Proceedings
EditorsMalek Mouhoub, Samira Sadaoui, Otmane Ait Mohamed, Moonis Ali
PublisherSpringer
Pages808-820
Number of pages12
Edition1
ISBN (Electronic)978-3-319-92058-0
ISBN (Print)978-3-319-92057-3
DOIs
Publication statusPublished - Jun 2018
Event31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: IEA/AIE 2018 - Montreal, Canada
Duration: 25 Jun 201828 Jun 2018

Publication series

Name Lecture Notes in Computer Science
PublisherSpringer
Volume10868
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems
CountryCanada
CityMontreal
Period25/06/1828/06/18

Keywords

  • Web service
  • Matchmaking
  • Similarity Measure
  • Degree of Match
  • Performance

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