On term selection for query expansion
Journal of Documentation
Accelerating XPath location steps
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
Configurable indexing and ranking for XML information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Path-Augmented Keyword Search for XML Documents
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Efficient keyword search for smallest LCAs in XML databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Relevance feedback at the INEX 2004 workshop
ACM SIGIR Forum
An efficient and versatile query engine for TopX search
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Structural features in content oriented XML retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
A system for keyword proximity search on XML databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
The database research group at the Max-Planck Institute for Informatics
ACM SIGMOD Record
Doxels in context for retrieval: from structure to neighbours
Proceedings of the 2008 ACM symposium on Applied computing
Feedback-driven result ranking and query refinement for exploring semi-structured data collections
Proceedings of the 13th International Conference on Extending Database Technology
Processing keyword search on XML: a survey
World Wide Web
Relevance feedback for structural query expansion
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
Progress in information retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
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Keyword-based queries are an important means to retrieve information from XML collections with unknown or complex schemas. Relevance Feedback integrates relevance information provided by a user to enhance retrieval quality. For keyword-based XML queries, feedback engines usually generate an expanded keyword query from the content of elements marked as relevant or nonrelevant. This approach that is inspired by text-based IR completely ignores the semistructured nature of XML. This paper makes the important step from pure content-based to structural feedback. It presents a framework that expands a keyword query into a full-fledged content-and-structure query. Extensive experiments with the established INEX benchmark and our TopX search engine show the feasibility of our approach.