Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/104349
Title: | Applying language technology to ontology-based querying : the OntoQuery project |
Authors: | Paggio, Patrizia Haltrup, Dorte Pedersen, Bolette S. |
Keywords: | Querying (Computer science) Ontologies (Information retrieval) Machine learning Linguistic analysis (Linguistics) Danish language -- Syntax Language and languages -- Computer-assisted instruction Ontology -- Methodology |
Issue Date: | 2003 |
Publisher: | Taylor & Francis Inc. |
Citation: | Paggio, P., Pedersen, B. S., & Haltrup, D. (2003). Applying language technology to ontology-based querying: The OntoQuery Project. Applied Artificial Intelligence, 17(8-9), 817-833. |
Abstract: | This paper addresses the issue of how language technology resources and components can be applied in ontology-based querying. In particular, it presents the approach to text and query analysis adopted in the Danish research project OntoQuery, where shallow syntactic analysis and ontology-based parsing are combined in order to identify nominal phrases (NPs) and assign them a semantic description. Semantic descriptions are used by the search engine to match queries against texts in a database, and a ranking of the texts retrieved is produced based on a domain ontology. This is intended to be a general methodology applicable to texts from different domains, including those relevant to cultural heritage, although OntoQuery has chosen nutrition as its first target domain. The paper focuses on the language technology aspects of the methodology, the ontology-based lexicon inherited from the SIMPLE project, and the development of the domain-specific ontology. The methodology is partly implemented in a prototype. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/104349 |
ISSN: | 10876545 |
Appears in Collections: | Scholarly Works - InsLin |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Applying_language_technology_to_ontology-based_querying_The_OntoQuery_project(2003).pdf | 398.63 kB | Adobe PDF | View/Open |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.