loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hajer Baazaoui-Zghal and Henda Ben Ghezala

Affiliation: Manouba University, Tunisia

Keyword(s): Fuzzy Ontology, Web Search, Query Reformulation.

Related Ontology Subjects/Areas/Topics: Searching and Browsing ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: The dominance of information retrieval on the Web makes integrating and designing ontologies for the on-line Information Retrieval Systems (IRS) an attractive research area. In addition to domain ontology, some attempts have been recently made to integrate fuzzy set theory with ontology, to provide a solution to vague and uncertain information. This paper presents a framework for semantic search based on ontology enrichment and fuzziness (FuzzOntoEnrichIR). FuzzOntoEnrichIR main components are: (1) a fuzzy information retrieval component, (2) an incremental ontology enrichment component and (3) an ontology repository component. The framework aims on the one hand to capitalize and formulate extraction-ontology rules based on a meta-ontology. On the other hand, it aims to integrate the domain ontology enrichment and the fuzzy ontology building in the IR process. The framework has been implemented and experimented to demonstrate the effectiveness and validity of the proposal.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.42.174

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Baazaoui-Zghal, H. and Ben Ghezala, H. (2014). Fuzzy-Ontology-Enrichment-based Framework for Semantic Search. In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-024-6; ISSN 2184-3252, SciTePress, pages 123-130. DOI: 10.5220/0004923801230130

@conference{webist14,
author={Hajer Baazaoui{-}Zghal. and Henda {Ben Ghezala}.},
title={Fuzzy-Ontology-Enrichment-based Framework for Semantic Search},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2014},
pages={123-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004923801230130},
isbn={978-989-758-024-6},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Fuzzy-Ontology-Enrichment-based Framework for Semantic Search
SN - 978-989-758-024-6
IS - 2184-3252
AU - Baazaoui-Zghal, H.
AU - Ben Ghezala, H.
PY - 2014
SP - 123
EP - 130
DO - 10.5220/0004923801230130
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic