Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
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
GPX: gardens point XML information retrieval at INEX 2004
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
XML search: languages, INEX and scoring
ACM SIGMOD Record
Overview of the INEX 2007 Ad Hoc Track
Focused Access to XML Documents
Using Language Models and Topic Models for XML Retrieval
Focused Access to XML Documents
Using textual and structural context for searching Multimedia Elements
International Journal of Business Intelligence and Data Mining
A hybrid Chinese information retrieval model
AMT'10 Proceedings of the 6th international conference on Active media technology
XML retrieval using pruned element-index files
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
A framework for the theoretical evaluation of XML retrieval
Journal of the American Society for Information Science and Technology
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The INEX 2005 evaluation consisted of numerous tasks that required different approaches. In this paper we described the approach that we adopted to satisfy the requirements of all the tasks, CAS and CO, in Thorough, Focused, and Fetch Browse mode, using the same underlying system The retrieval approach is based on the construction of a collection sub-tree, consisting of all nodes that contain one or more of the search terms. Nodes containing search terms are then assigned a score using a TF_IDF variant, scores are propagated upwards in the document XML tree, and finally all XML elements are ranked. We present results that demonstrate that the approach is versatile and produces consistently good performance across all INEX 2005 tasks.