An information retrieval driven by ontology from query to document expansion

Authors:
Mustapha Baziz;Mohand Boughanem;Gabriella Pasi;Henri Prade
Affiliations:
IRIT, Toulouse cedex -- France;IRIT, Toulouse cedex -- France;Università degli Studi di Milano Bicocca, Milano, Italy;IRIT, Toulouse cedex -- France
Venue:
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Year:
2007

Citing 10
Cited 3

The use of phrases and structured queries in information retrieval

SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
WordNet: a lexical database for English

Communications of the ACM
Semantics of quotient operators in fuzzy relational databases

Fuzzy Sets and Systems
A language modeling approach to information retrieval

Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval

Information Retrieval
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
Generating, integrating, and activating thesauri for concept-based document retrieval

IEEE Expert: Intelligent Systems and Their Applications
OntoSeek: Content-Based Access to the Web

IEEE Intelligent Systems
Information Retrieval with Conceptual Graph Matching

DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Semantic cores for representing documents in IR

Proceedings of the 2005 ACM symposium on Applied computing

Ontology-Based Document and Query Representation May Improve the Effectiveness of Information Retrieval

Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
An ontological representation of documents and queries for information retrieval systems

IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
A conceptual representation of documents and queries for information retrieval systems by using light ontologies

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper proposes an approach to information retrieval based on the use of a structure (ontology) both for document (resp. query) indexing and query evaluating. The conceptual structure is hierarchical and it encodes the knowledge of the topical domain of the considered documents. It is formally represented as a tree. In this approach, the query evaluation is based on the comparison of minimal sub-trees containing the two sets of nodes corresponding to the concepts expressed in the document and the query respectively. The comparison is based on the computation of a degree of inclusion of the query tree in the document tree. Experiments undertaken on MuchMore benchmark showed the effectiveness of the approach.