Abstract | ||
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Keyword search is a friendly way for user to find the information they are interested in from XML documents without having to learn a complex query language or needing prior knowledge of the structure of the underlying data. However, the existing methods are usually limited to the input keywords. In this paper, we introduced the notion of synonyms, acronym, abbreviations and so on to capture user query intentions. We propose a SLCA based keyword search with synonym rules over xml documents which are orthogonal to various of xml keyword search techniques. In addition, we also use this to give a effective and efficient slca based keyword search. © 2012 Springer-Verlag. |
Year | DOI | Venue |
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2012 | 10.1007/978-3-642-33050-6_28 | WAIM Workshops |
Field | DocType | Volume |
Acronym,Query language,Information retrieval,Well-formed document,XML,Computer science,XML validation,Keyword search,Document Structure Description,Synonym | Conference | 7419 LNCS |
Issue | ISSN | Citations |
null | 16113349 | 0 |
PageRank | References | Authors |
0.34 | 17 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Linlin Zhang | 1 | 10 | 6.97 |
Qing Liu | 2 | 462 | 74.39 |
Jiaheng Lu | 3 | 1096 | 60.45 |