Intelligent semantic question answering system

The volume of information available on the World Wide Web and the rate of its growth requires new techniques to handle and organize this data. Ontologies are becoming the pivotal methodology to represent domain-specific conceptual knowledge and hence help in providing solutions for Question Answering (QA) systems. This paper introduces an approach for enhancing the capabilities of QA systems using semantic technologies. We implemented an approach to convert the natural language user queries to Resource Description Framework (RDF) triples and find relevant answers. The experiment results show that the proposed technique works very well for single word answers. We believe that with some modifications this approach can be expanded to a wider scale.

[1]  Hamish Cunningham,et al.  Natural Language Interfaces to Ontologies: Combining Syntactic Analysis and Ontology-Based Lookup through the User Interaction , 2010, ESWC.

[2]  Dell Zhang,et al.  Question classification using support vector machines , 2003, SIGIR.

[3]  Eduard H. Hovy,et al.  Toward Semantics-Based Answer Pinpointing , 2001, HLT.

[4]  Philipp Cimiano,et al.  Porting natural language interfaces between domains: an experimental user study with the ORAKEL system , 2007, IUI '07.

[5]  Luo Si,et al.  Probabilistic models for answer-ranking in multilingual question-answering , 2010, TOIS.

[6]  Rolf Oppliger,et al.  Classifying Public Key Certificates , 2005, EuroPKI.

[7]  Jens Lehmann,et al.  Template-based question answering over RDF data , 2012, WWW.

[8]  A. Bernstein,et al.  Ginseng : A Guided Input Natural Language Search Engine for Querying Ontologies , 2006 .

[9]  Enrico Motta,et al.  AquaLog: An Ontology-Portable Question Answering System for the Semantic Web , 2005, ESWC.

[10]  Bert F. Green,et al.  Baseball: an automatic question-answerer , 1899, IRE-AIEE-ACM '61 (Western).

[11]  Michael Collins,et al.  AT&T at TREC-8 , 1999, TREC.

[12]  Chong Wang,et al.  PANTO: A Portable Natural Language Interface to Ontologies , 2007, ESWC.

[13]  Kalina Bontcheva,et al.  A Natural Language Query Interface to Structured Information , 2008, ESWC.

[14]  Enrico Motta,et al.  Cross ontology query answering on the semantic web: an initial evaluation , 2009, K-CAP '09.

[15]  Santosh Kumar Ray,et al.  A semantic approach for question classification using WordNet and Wikipedia , 2010, Pattern Recognit. Lett..

[16]  Salim Roukos,et al.  IBM's Statistical Question Answering System-TREC 11 , 2001, TREC.

[17]  Abraham Bernstein,et al.  Querix: A Natural Language Interface to Query Ontologies Based on Clarification Dialogs , 2006 .

[18]  Wolfgang A. Luchting,et al.  Coca , 1876, Edinburgh medical journal.

[19]  Eduard H. Hovy,et al.  Learning surface text patterns for a Question Answering System , 2002, ACL.