The OntoNL framework for natural language interface generation and a domain-specific application

Authors:
Anastasia Karanastasi;Alexandros Zotos;Stavros Christodoulakis
Affiliations:
Laboratory of Distributed Multimedia Information Systems, Technical University of Crete, MUSIC, Chania, Greece;Laboratory of Distributed Multimedia Information Systems, Technical University of Crete, MUSIC, Chania, Greece;Laboratory of Distributed Multimedia Information Systems, Technical University of Crete, MUSIC, Chania, Greece
Venue:
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
Year:
2007

Citing 1
Cited 4

A User Preference Model and a Query Language that allow Semantic Retrieval and Filtering of Multimedia Content

SMAP '06 Proceedings of the First International Workshop on Semantic Media Adaptation and Personalization

Keyword-Driven SPARQL Query Generation Leveraging Background Knowledge

WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
DC proposal: automatically transforming keyword queries to SPARQL on large-scale knowledge bases

ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Question answering on interlinked data

Proceedings of the 22nd international conference on World Wide Web
Generating SPARQL queries using templates

Web Intelligence and Agent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present in this paper the design and implementation of the OntoNL Framework, a natural language interface generator for knowledge repositories, as well as a natural language system for interactions with multimedia repositories which was built using the OntoNL Framework. The system allows the users to specify natural language requests about the multimedia content with rich semantics that result to digital content delivery. We propose and evaluate a semantic relatedness measure for OWL domain ontologies that concludes to the semantic ranking of ontological, grammatically-related structures. This procedure is used to disambiguate in a particular domain of context and represent in an ontology query language, natural language expressions. The ontology query language that we use is the SPARQL. The construction of the queries is automated and also dependent on the semantic relatedness measurement of ontology concepts. We also present the results of experimentation with the system.