LATIN '00 Proceedings of the 4th Latin American Symposium on Theoretical Informatics
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Efficient keyword search for smallest LCAs in XML databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Multiway SLCA-based keyword search in XML data
Proceedings of the 16th international conference on World Wide Web
Identifying meaningful return information for XML keyword search
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Effective keyword search for valuable lcas over xml documents
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Theoretical and practical improvements on the RMQ-Problem, with applications to LCA and LCE
CPM'06 Proceedings of the 17th Annual conference on Combinatorial Pattern Matching
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Keyword search is a popular way to discover information from XML data. To return meaningful results, SLCA (smallest lowest common ancestor) has been proposed to identify interesting data nodes. Since the SLCAs are obtained from a series of intermediate LCAs, it can often incur many unnecessary LCA computations even when the size of final results is small. In this paper, we propose an Iterative-Skip approach to address this challenge. We first study the relation between SLCA candidates and propose a series of properties. Then based on these properties, we design a novel skip strategy to skip more SLCA computations. Experimental results show the effectiveness of our approach.