Publication Date:
2017
abstract:
In this paper, we define a method that enables to: (i) exploit
ontologies and terminology to represent concepts into specific domains,
(ii) extract information from deep web pages, and opinions from social
and community networks, (iii) semantically query information by using
natural language interface. The method has been applied to query the
touristic domain. This use case has shown the effectiveness of the method
that can be easily extended to other domains.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Natural Language Interface; Web Data Extraction; Ontology; Linked Data; Question Answering; Tourism Domain
List of contributors: