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Bidirectional expansion for keyword search on graph databases

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Title Bidirectional expansion for keyword search on graph databases
 
Creator KACHOLIA, VARUN
PANDIT, SHASHANK
SUDARSHAN, S
DESAI, RUSHI
KARAMBELKAR, HRISHIKESH
 
Subject keyword search
algorithms
graph theory
relational database systems
edge detection
data graph
 
Description Relational, XML and HTML data can be represented as graphs with entities as nodes and relationships as edges. Text is associated with nodes and possibly edges. Keyword search on such graphs has received much attention lately. A central problem in this scenario is to efficiently extract from the data graph a small number of the "best" answer trees. A Backward Expanding search, starting at nodes matching keywords and working up toward confluent roots, is commonly used for predominantly text-driven queries. But it can perform poorly if some keywords match many nodes, or some node has very large degree.In this paper we propose a new search algorithm, Bidirectional Search, which improves on Backward Expanding search by allowing forward search from potential roots towards leaves. To exploit this flexibility, we devise a novel search frontier prioritization technique based on spreading activation. We present a performance study on real data, establishing that Bidirectional Search significantly outperforms Backward Expanding search.
 
Publisher Association for Computing Machinery
 
Date 2009-09-12T08:36:09Z
2011-11-28T08:50:03Z
2011-12-15T09:57:52Z
2009-09-12T08:36:09Z
2011-11-28T08:50:03Z
2011-12-15T09:57:52Z
2005
 
Identifier Proceedings of the 31st International Conference on Very Large Data Bases, (VLDB), Trondheim, Norway, 30 Augest - 2 September 2005, 505-516
1-59593-154-6
http://hdl.handle.net/10054/1630
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1630
 
Language en