The Accessibility Dimension for Structured Document Retrieval
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
The overlap problem in content-oriented XML retrieval evaluation
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Length normalization in XML retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Structured queries in XML retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
XML retrieval: what about using contextual relevance?
Proceedings of the 2006 ACM symposium on Applied computing
XFIRM at INEX 2005: ad-hoc and relevance feedback tracks
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Component ranking and automatic query refinement for XML retrieval
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
A survey on XML focussed component retrieval
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Using a content-and-structure oriented method for relevance feedback in XML retrieval
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
DTD based costs for tree-edit distance in structured information retrieval
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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When querying XML collections, users cannot always express their need in a precise way. Systems should therefore support vagueness at both the content and structural level of queries. This paper present a relevance-oriented method for ranking XML components. The aim here is to evaluate whether structural hints help to better answer the user needs. We experiment (within the INEX framework) with users needs expressed in a flexible way (i.e with ou without structural hints). Results show that they clearly improve performance, even if they are expressed in an ”artificial way”. Relevance seems therefore to be closely linked to structure. Moreover, too complex structural hints do not lead to better results.