EquiX---a search and query language for XML
Journal of the American Society for Information Science and Technology - XML
The Index-Based XXL Search Engine for Querying XML Data with Relevance Ranking
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
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
Efficient schema-based XML-to-Relational data mapping
Information Systems
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
Db2 9 purexml guide
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XQuery and Keyword query are the main methods to get XML data. But the former is too complicated for non-professional users and the latter doesn't have enough semantic capabilities to capture user's intents completely. Based on data models, this paper analyzes the reasons which lead to the drawbacks of existing query methods. And then, a novel auto-navigating XML query model is proposed. The query model is composed of the XML data model, the query language and the query algorithm. The data model stores XML documents in a clustering way according to the semantic relativity. The query language has the intuitive grammars and is suitable for non-professional users to use. The query algorithm has auto-navigating capability and can find the target data from XML documents without complete structure information.