A hypertext model supporting query mechanisms
Hypertext: concepts, systems and applications
Structured answers for a large structured document collection
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Dempster-Shafer's theory of evidence applied to structured documents: modelling uncertainty
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
XIRQL: a query language for information retrieval in XML documents
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Querying and ranking XML documents
Journal of the American Society for Information Science and Technology - XML
Accelerating XPath location steps
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Searching and Browsing Collections of Structural Information
ADL '00 Proceedings of the IEEE Advances in Digital Libraries 2000
XML Multimedia Retrieval: From Relevant Textual Information to Relevant Multimedia Fragments
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Using textual and structural context for searching Multimedia Elements
International Journal of Business Intelligence and Data Mining
Why using structural hints in XML retrieval?
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Possibilistic model for aggregated search in XML documents
International Journal of Intelligent Information and Database Systems
Aggregated search: A new information retrieval paradigm
ACM Computing Surveys (CSUR)
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As XML documents contain both content and structure information, taking advantage of the document structure in the retrieval process can lead to better identify relevant information units. In this paper, we describe an information retrieval (IR) approach dealing with queries composed of content and structure conditions. The XFIRM model we propose is designed to be as flexible as possible to process such queries. It is based on a complete query language, derived from XPath and on a relevance values propagation method. This paper aims at evaluating functions used in the propagation process, and particularly the use of distance between nodes as a parameter. The proposed method is evaluated, thanks to the INEX evaluation initiative. Results show a relative high precision of our proposal.