A framework for parameterized semantic matchmaking and ranking of web services

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

doi:10.5220/0005907300540065

A framework for parameterized semantic matchmaking and ranking of web services

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

Centre for Operational Research & Logistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

The Parameterized Semantic Matchmaking and Ranking (PMRF) is a highly configurable framework supporting a parameterized matching and ranking of Web services. The paper introduces the matching and ranking algorithms supported by the PMRF and presents its architecture. It also evaluates the performance of the PMRF and compares it to the iSeM-logic-based and SPARQLent frameworks using the OWLS-TC4 datasets. The comparison results show that the algorithms included in PMRF behave globally well in comparison to iSeM-logic-based and SPARQLent.

Original language	English
Title of host publication	Proceedings of the 12th international conference on web information systems and technologies (WEBIST 2016), Rome Italy, April 23-25
Editors	Tim A. Majchrzak, Paolo Traverso, Valérie Monfort, Karl-Heinz Krempels
Place of Publication	Portugal
Publisher	SciTePress
Pages	54-65
Number of pages	12
Volume	1
ISBN (Print)	978-989-758-186-1
DOIs	https://doi.org/10.5220/0005907300540065
Publication status	Published - 2016
Event	12th International Conference on Web Information Systems and Technologies - Rome, Italy Duration: 23 Apr 2016 → 25 Apr 2016

Conference

Conference	12th International Conference on Web Information Systems and Technologies
Abbreviated title	WEBIST 2016
Country/Territory	Italy
City	Rome
Period	23/04/16 → 25/04/16

Keywords

Web service
Semantic similarity
Matchmaking
Ranking
Performance

Access to Document

10.5220/0005907300540065

http://www.webist.org/

Cite this

Gmati, F.-E., Yacoubi Ayadi, N., Bahri, A., Chakhar, S., & Ishizaka, A. (2016). A framework for parameterized semantic matchmaking and ranking of web services. In T. A. Majchrzak, P. Traverso, V. Monfort, & K.-H. Krempels (Eds.), Proceedings of the 12th international conference on web information systems and technologies (WEBIST 2016), Rome Italy, April 23-25 (Vol. 1, pp. 54-65). SciTePress. https://doi.org/10.5220/0005907300540065

Gmati, Fatma-Ezzahra ; Yacoubi Ayadi, Nadia ; Bahri, Afef et al. / A framework for parameterized semantic matchmaking and ranking of web services. Proceedings of the 12th international conference on web information systems and technologies (WEBIST 2016), Rome Italy, April 23-25. editor / Tim A. Majchrzak ; Paolo Traverso ; Valérie Monfort ; Karl-Heinz Krempels. Vol. 1 Portugal : SciTePress, 2016. pp. 54-65

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title = "A framework for parameterized semantic matchmaking and ranking of web services",

abstract = "The Parameterized Semantic Matchmaking and Ranking (PMRF) is a highly configurable framework supporting a parameterized matching and ranking of Web services. The paper introduces the matching and ranking algorithms supported by the PMRF and presents its architecture. It also evaluates the performance of the PMRF and compares it to the iSeM-logic-based and SPARQLent frameworks using the OWLS-TC4 datasets. The comparison results show that the algorithms included in PMRF behave globally well in comparison to iSeM-logic-based and SPARQLent.",

keywords = "Web service, Semantic similarity, Matchmaking, Ranking, Performance",

author = "Fatma-Ezzahra Gmati and {Yacoubi Ayadi}, Nadia and Afef Bahri and Salem Chakhar and Alessio Ishizaka",

year = "2016",

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booktitle = "Proceedings of the 12th international conference on web information systems and technologies (WEBIST 2016), Rome Italy, April 23-25",

publisher = "SciTePress",

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Gmati, F-E, Yacoubi Ayadi, N, Bahri, A, Chakhar, S & Ishizaka, A 2016, A framework for parameterized semantic matchmaking and ranking of web services. in TA Majchrzak, P Traverso, V Monfort & K-H Krempels (eds), Proceedings of the 12th international conference on web information systems and technologies (WEBIST 2016), Rome Italy, April 23-25. vol. 1, SciTePress, Portugal, pp. 54-65, 12th International Conference on Web Information Systems and Technologies, Rome, Italy, 23/04/16. https://doi.org/10.5220/0005907300540065

A framework for parameterized semantic matchmaking and ranking of web services. / Gmati, Fatma-Ezzahra ; Yacoubi Ayadi, Nadia ; Bahri, Afef et al.
Proceedings of the 12th international conference on web information systems and technologies (WEBIST 2016), Rome Italy, April 23-25. ed. / Tim A. Majchrzak; Paolo Traverso; Valérie Monfort; Karl-Heinz Krempels. Vol. 1 Portugal: SciTePress, 2016. p. 54-65.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - A framework for parameterized semantic matchmaking and ranking of web services

AU - Gmati, Fatma-Ezzahra

AU - Yacoubi Ayadi, Nadia

AU - Bahri, Afef

AU - Chakhar, Salem

AU - Ishizaka, Alessio

PY - 2016

Y1 - 2016

N2 - The Parameterized Semantic Matchmaking and Ranking (PMRF) is a highly configurable framework supporting a parameterized matching and ranking of Web services. The paper introduces the matching and ranking algorithms supported by the PMRF and presents its architecture. It also evaluates the performance of the PMRF and compares it to the iSeM-logic-based and SPARQLent frameworks using the OWLS-TC4 datasets. The comparison results show that the algorithms included in PMRF behave globally well in comparison to iSeM-logic-based and SPARQLent.

AB - The Parameterized Semantic Matchmaking and Ranking (PMRF) is a highly configurable framework supporting a parameterized matching and ranking of Web services. The paper introduces the matching and ranking algorithms supported by the PMRF and presents its architecture. It also evaluates the performance of the PMRF and compares it to the iSeM-logic-based and SPARQLent frameworks using the OWLS-TC4 datasets. The comparison results show that the algorithms included in PMRF behave globally well in comparison to iSeM-logic-based and SPARQLent.

KW - Web service

KW - Semantic similarity

KW - Matchmaking

KW - Ranking

KW - Performance

U2 - 10.5220/0005907300540065

DO - 10.5220/0005907300540065

M3 - Chapter (peer-reviewed)

SN - 978-989-758-186-1

VL - 1

SP - 54

EP - 65

BT - Proceedings of the 12th international conference on web information systems and technologies (WEBIST 2016), Rome Italy, April 23-25

A2 - Majchrzak, Tim A.

A2 - Traverso, Paolo

A2 - Monfort, Valérie

A2 - Krempels, Karl-Heinz

PB - SciTePress

CY - Portugal

T2 - 12th International Conference on Web Information Systems and Technologies

Y2 - 23 April 2016 through 25 April 2016

ER -

Gmati FE, Yacoubi Ayadi N, Bahri A, Chakhar S, Ishizaka A. A framework for parameterized semantic matchmaking and ranking of web services. In Majchrzak TA, Traverso P, Monfort V, Krempels KH, editors, Proceedings of the 12th international conference on web information systems and technologies (WEBIST 2016), Rome Italy, April 23-25. Vol. 1. Portugal: SciTePress. 2016. p. 54-65 doi: 10.5220/0005907300540065

A framework for parameterized semantic matchmaking and ranking of web services

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