Abstract | ||
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Highly heterogeneous XML data collections that do not have a global schema, as arising, for example, in federations of digital libraries or scientific data repositories, cannot be effectively queried with XQuery or XPath alone, but rather require a ranked retrieval approach As known from ample work in the IR field, relevance feedback provided by the user that drives automatic query refinement or expansion can often lead to improved search result quality (e.g., precision or recall) In this paper we present a framework for feedback-driven XML query refinement and address several building blocks including reweighting of query conditions and ontology-based query expansion We point out the issues that arise specifically in the XML context and cannot be simply addressed by straightforward use of traditional IR techniques, and we present our approaches towards tackling them. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1007/978-3-540-30192-9_18 | EDBT Workshops |
Keywords | Field | DocType |
scientific data repository,heterogeneous xml data collection,ontology-based query expansion,ir field,building block,query condition,xml retrieval,relevance feedback,traditional ir technique,xml context,ample work,automatic query refinement,query expansion,digital library,scientific data,data collection | Data mining,Query expansion,Information retrieval,Computer science,XML validation,Document Structure Description,XML database,XML schema,XPath,XML Schema Editor,Database,XQuery | Conference |
Volume | ISSN | ISBN |
3268 | 0302-9743 | 3-540-23305-9 |
Citations | PageRank | References |
4 | 0.47 | 9 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hanglin Pan | 1 | 7 | 0.88 |
Wolfgang Lindner | 2 | 70 | 7.89 |
Marco Mesiti | 3 | 830 | 72.53 |
can turker | 4 | 8 | 1.57 |
Yannis Tzitzikas | 5 | 773 | 82.04 |
Athena Vakali | 6 | 1457 | 129.68 |