Towards Ontology-Based Question Answering in Vague Domains

Author

Alexopoulos, Panos ; Walker, A. ; Gomez-Perez, Jose Manuel ; Wallace, Margeaux

Author_Institution

iSOCO S.A., Madrid, Spain

fYear

2014

fDate

6-7 Nov. 2014

Firstpage

26

Lastpage

31

Abstract

The rapid growth of the Semantic Web in the last years has led to the emergence of Ontology-Based Question Answering systems, namely systems that exploit the ontological structure of data in order to interpret and answer natural language questions. In this paper, we are interested in question answering scenarios where both semantic data and user questions can be characterized by vagueness and we propose a novel framework that is able to handle this vagueness by means of fuzzy ontologies.

Keywords

data structures; fuzzy reasoning; ontologies (artificial intelligence); question answering (information retrieval); fuzzy ontologies; natural language question answering; natural language question interpretation; ontological data structure; ontology-based question answering systems; semantic Web; semantic data; user questions; vague domains; Context; Knowledge based systems; Knowledge discovery; Natural languages; Ontologies; Pipelines; Semantics; Fuzzy Ontologies; Question Answering; Vagueness;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantic and Social Media Adaptation and Personalization (SMAP), 2014 9th International Workshop on

Conference_Location

Corfu

Print_ISBN

978-1-4799-6813-8

Type

conf

DOI

10.1109/SMAP.2014.33

Filename

6978948