Data integration using similarity joins and a word-based information representation language
ACM Transactions on Information Systems (TOIS)
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Searching web databases by structuring keyword-based queries
Proceedings of the eleventh international conference on Information and knowledge management
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Why structural hints in queries do not help XML-retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
XSKETCH synopses for XML data graphs
ACM Transactions on Database Systems (TODS)
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
From natural language to NEXI, an interface for INEX 2005 queries
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
Narrowed extended XPath i (NEXI)
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Using structural information in XML keyword search effectively
ACM Transactions on Database Systems (TODS)
A field relevance model for structured document retrieval
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Summarizing answer graphs induced by keyword queries
Proceedings of the VLDB Endowment
Journal of Information Science
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The structural heterogeneity and complexity of XML repositories makes query formulation challenging for users who have little knowledge of XML. To assist its users, an XML retrieval system can have a keyword-based interface, relegating the task of combining textual and structural clues to the retrieval algorithm. In this work, we propose an automatic query refinement method to transform a keyword query into structured XML queries that capture the original information need and conform to the underlying XML data. We formulate query generation as a search problem, and show the effectiveness of the method in generating accurate content-and-structure queries.