Schlieder et al., 2002 - Google Patents
Querying and ranking XML documentsSchlieder et al., 2002
- Document ID
- 14373579923219466984
- Author
- Schlieder T
- Meuss H
- Publication year
- Publication venue
- Journal of the american society for information science and technology
External Links
Snippet
XML represents both content and structure of documents. Taking advantage of the document structure promises to greatly improve the retrieval precision. In this article, we present a retrieval technique that adopts the similarity measure of the vector space model …
- 238000000034 method 0 abstract description 22
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06F17/30684—Query execution using natural language analysis
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- G—PHYSICS
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- G06F17/30923—XML native databases, structures and querying
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