A Framework for Parameterized Semantic Matchmaking and Ranking of Web Services

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

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.

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Paper Citation


in Harvard Style

Gmati F., Yacoubi Ayadi N., Bahri A., Chakhar S. and Ishizaka A. (2016). A Framework for Parameterized Semantic Matchmaking and Ranking of Web Services . In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-186-1, pages 54-65. DOI: 10.5220/0005907300540065


in Bibtex Style

@conference{webist16,
author={Fatma Ezzahra Gmati and Nadia Yacoubi Ayadi and Afef Bahri and Salem Chakhar and Alessio Ishizaka},
title={A Framework for Parameterized Semantic Matchmaking and Ranking of Web Services},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2016},
pages={54-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005907300540065},
isbn={978-989-758-186-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - A Framework for Parameterized Semantic Matchmaking and Ranking of Web Services
SN - 978-989-758-186-1
AU - Gmati F.
AU - Yacoubi Ayadi N.
AU - Bahri A.
AU - Chakhar S.
AU - Ishizaka A.
PY - 2016
SP - 54
EP - 65
DO - 10.5220/0005907300540065