Paper Info
Title
A Natural Language Interface to Ontology-Based Knowledge Bases
Abstract
The aim of the Semantic Web is to improve the access, management, and retrieval of information on the Web-based. On this understanding, ontologies are considered a technology that supports all aforementioned tasks. However, current approaches for information retrieval on ontology-based knowledge bases are intended to be used by experienced users. To address this gap, Natural Language Processing (NLP) is deemed a very intuitive approach from a non-experienced user's perspective, because the formality of a knowledge base is hidden, as well as the executable query language. In this work, we present ONLI, a natural language interface for DBpedia, a community effort to structure Wikipedia's content based on an ontological approach. ONLI combines NLP techniques in order to analyze user's question and populate an ontological model, which is responsible for describing question's context. From this model, ONLI requests the answer through a set of heuristic SPARQL-based query patterns. Finally, we describe the current version of the ONLI system, as well as an evaluation to assess its effectiveness in finding the correct answer.
Year
DOI
Venue
2015
10.1007/978-3-319-19638-1_1
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 12TH INTERNATIONAL CONFERENCE
Keywords
Field
DocType
natural language processing,ontology,semantic web
Ontology (information science),Ontology,Query language,Computer science,Semantic Web,Natural language user interface,SPARQL,Natural language processing,Artificial intelligence,Universal Networking Language,Knowledge base
Conference
Volume
ISSN
Citations 
373
2194-5357
0
PageRank 
References 
Authors
0.34
17
5
Name
Order
Citations
PageRank
Mario Andrés Paredes-Valverde1218.23
José Ángel Noguera-Arnaldos200.34
Cristian Aarón Rodríguez-Enríquez300.68
Rafael Valencia-garcía463054.42
Giner Alor-Hernández513639.47