EconPapers    
Economics at your fingertips  
 

Towards a framework for ontology-based information retrieval services

Amir Zidi and Mourad Abed

International Journal of Services and Operations Management, 2014, vol. 19, issue 2, 138-150

Abstract: In this paper, we present a complete ontology-based framework for the extraction and retrieval of semantic information in specific domains. 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. The proposed approach was validated using an example of ontology in public transportation domain. Finally, we evaluated our system using ontology mapping and real world data sources. Experiment results show that our proposed framework can provide meaningful search results.

Keywords: information retrieval; public transport ontology; semantic indexing; entity retrieval; ontology mapping. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=65329 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsoma:v:19:y:2014:i:2:p:138-150

Access Statistics for this article

More articles in International Journal of Services and Operations Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijsoma:v:19:y:2014:i:2:p:138-150