Skip to Main content Skip to Navigation
Conference papers

A generalized framework for ontology-based information retrieval: application to a public-transportation system

Abstract : In this paper we present a generic framework for ontology-based information retrieval. We focus on the recognition of semantic information extracted from data sources and the mapping of this knowledge into ontology. In order to achieve more scalability, we propose an approach for semantic indexing based on entity retrieval model. In addition, we have used ontology of public transportation domain in order to validate these proposals. Finally, we evaluated our system using ontology mapping and real world data sources. Experiments show that our framework can provide meaningful search results.
Document type :
Conference papers
Complete list of metadata

https://hal-uphf.archives-ouvertes.fr/hal-03472763
Contributor : Marie ZOIA Connect in order to contact the contributor
Submitted on : Friday, April 29, 2022 - 2:09:02 PM
Last modification on : Tuesday, May 3, 2022 - 8:04:47 AM
Long-term archiving on: : Saturday, July 30, 2022 - 6:42:29 PM

File

1409.0921.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Amir Zidi, Mourad Abed. A generalized framework for ontology-based information retrieval: application to a public-transportation system. 2013 International Conference on Advanced Logistics and Transport (ICALT), May 2013, Sousse, Tunisia. pp.165-169, ⟨10.1109/ICAdLT.2013.6568453⟩. ⟨hal-03472763⟩

Share

Metrics

Record views

30

Files downloads

7