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
Identifying meaningful return information for XML keyword search
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
XSEarch: a semantic search engine for XML
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Effective keyword search for valuable lcas over xml documents
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Query biased snippet generation in XML search
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Keyword search on structured and semi-structured data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Processing keyword search on XML: a survey
World Wide Web
Combining strategies for XML retrieval
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
Automatic extraction rules generation based on XPath pattern learning
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
MAXLCA: a new query semantic model for XML keyword search
Journal of Web Engineering
Guess what i want: inferring the semantics of keyword queries using evidence theory
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
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Snippets are used by almost every text search engine to complement ranking schemes in order to effectively handle user keyword search. Despite the fact that XML is a standard representation format of web data, research on generating result snippets for XML search remains untouched. In this work, we present eXtract, a system that efficiently generates self-contained result snippets within a given size bound which effectively summarize the query results and differentiate them from one another, according to which users can quickly assess the relevance of the query results.