Enhancing semantic search using case-based modular ontology

Authors:
Nesrine Ben Mustapha;Hajer Baazaoui Zghal;Marie-Aude Aufaure;Henda Ben Ghezala
Affiliations:
Laboratoire RIADI ENSI, Manouba;Laboratoire RIADI ENSI, Manouba;Ecole Centrale Paris, SAP Business Objects Grande Voie des Vignes, Chatenay-Malabry;Laboratoire RIADI ENSI, Manouba
Venue:
Proceedings of the 2010 ACM Symposium on Applied Computing
Year:
2010

Citing 2
Cited 3

Case-based reasoning: foundational issues, methodological variations, and system approaches

AI Communications
A Web based Conversational Case-Based Recommender System for Ontology aided Metadata Discovery

GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing

Semantic search using modular ontology learning and case-based reasoning

Proceedings of the 2010 EDBT/ICDT Workshops
Modular ontological warehouse for adaptative information search

MEDI'12 Proceedings of the 2nd international conference on Model and Data Engineering
Searching semantic data warehouses: models, issues, architectures

Proceedings of the 2nd International Workshop on Semantic Search over the Web

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a semantic search approach based on Case-based modular Ontology. Our work aims to improve ontology-based information retrieval by the integration of the traditional information retrieval, the use of ontology and the case based reasoning (CBR). In fact, our recommender approach uses the CBR with ontology for case representation and indexing. Ontology-based similarity is used to retrieve similar cases and to provide end users with alternative recommendations. The main contribution of this work is the use of a CBR mechanism and an ontological representation for two purposes: Resource Retrieval from Web and ontology enrichment from cases.