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Authors: K. Parthasarathy 1 ; P. Sreenivasa Kumar 2 and Dominic Damien 1

Affiliations: 1 Indian Space Research Organisation, India ; 2 Indian Institute of Technology Madras, India

Keyword(s): Keyword search, Answer graph, RDF.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Foundations of Knowledge Discovery in Databases ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Keyword search is an easy way to allow inexperienced users to query an information system. It does not need knowledge of specific query language or underlying schema. Recently answering keyword queries on graph structured data has emerged as an important research topic. Many efforts focus on queries on RDF(Resource Description Framework) graphs as RDF has emerged as a viable data model for representing/integrating semistructured, distributed and interconnected data. In this paper, we present a novel algorithm for constructing answer graphs using pruned exploration strategy. We form component structures comprising closely related class and relationship nodes for the keywords and join the identified component structures using appropriate hook nodes. The Class/SubClass relationships available in RDF schema are also utilized for the answer graph construction. The paper illustrates the working of the algorithm using AIFB institute data.

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Paper citation in several formats:
Parthasarathy, K.; Sreenivasa Kumar, P. and Damien, D. (2010). ANSWER GRAPH CONSTRUCTION FOR KEYWORD SEARCH ON GRAPH STRUCTURED(RDF) DATA. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR; ISBN 978-989-8425-28-7; ISSN 2184-3228, SciTePress, pages 162-167. DOI: 10.5220/0003067001620167

@conference{kdir10,
author={K. Parthasarathy. and P. {Sreenivasa Kumar}. and Dominic Damien.},
title={ANSWER GRAPH CONSTRUCTION FOR KEYWORD SEARCH ON GRAPH STRUCTURED(RDF) DATA},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR},
year={2010},
pages={162-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003067001620167},
isbn={978-989-8425-28-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR
TI - ANSWER GRAPH CONSTRUCTION FOR KEYWORD SEARCH ON GRAPH STRUCTURED(RDF) DATA
SN - 978-989-8425-28-7
IS - 2184-3228
AU - Parthasarathy, K.
AU - Sreenivasa Kumar, P.
AU - Damien, D.
PY - 2010
SP - 162
EP - 167
DO - 10.5220/0003067001620167
PB - SciTePress