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Titlebook: Intelligent Search on XML Data; Applications, Langua Henk Blanken,Torsten Grabs,Gerhard Weikum Book 2003 Springer-Verlag Berlin Heidelberg

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发表于 2025-3-21 20:01:46 | 显示全部楼层 |阅读模式
书目名称Intelligent Search on XML Data
副标题Applications, Langua
编辑Henk Blanken,Torsten Grabs,Gerhard Weikum
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Search on XML Data; Applications, Langua Henk Blanken,Torsten Grabs,Gerhard Weikum Book 2003 Springer-Verlag Berlin Heidelberg
描述.Recently, we have seen a steep increase in the popularity and adoption of XML, in areas such as traditional databases, e-business, the scientific environment, and on the web. Querying XML documents and data efficiently is a challenging issue; this book approaches search on XML data by combining content-based methods from information retrieval and structure-based XML query methods and presents the following parts: applications, query languages, retrieval models, implementing intelligent XML systems, and evaluation...To appreciate the book, basic knowledge of traditional database technology, information retrieval, and XML is needed. The book is ideally suited for courses or seminars at the graduate level as well as for education of research and development professionals working on Web applications, digital libraries, database systems, and information retrieval..
出版日期Book 2003
关键词DBMS; Extensible Markup Language (XML); Signatur; XML; architecture; classification; database; database sys
版次1
doihttps://doi.org/10.1007/978-3-540-45194-5
isbn_softcover978-3-540-40768-3
isbn_ebook978-3-540-45194-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2003
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Full-Text Search with XQuery: A Status Reportly for representing marked-up documents – as its heritage based on SGML indicates – but also highly-structured hierarchical data such as object hierarchies or relational data and semistructured data (see Fig. 3.1). Even data that traditionally has been represented in binary format such as graphics is now being represented using XML (e.g., SVG).
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978-3-540-40768-3Springer-Verlag Berlin Heidelberg 2003
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Intelligent Search on XML Data978-3-540-45194-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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A Query Language and User Interface for XML Information Retrievalstead of the complete document. At the micro level, specific similarity operators for different types of text or data should be provided (such as similarity of chemical structures, phonetic similarity for person names).
发表于 2025-3-23 05:17:53 | 显示全部楼层
Ontology-Enabled XML Searcht for the query and returning the results in a ranked order, using similarity measures like the cosine measure. But they are still tied to keyword queries, which is no longer appropriate for highly heterogeneous XML data from different sources, as it is the case in the Web or in large intranets.
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The Multi-model DBMS Architecture and XML Information Retrievalraints; based on the structure of text documents, on the information extracted from various media (or various media representations), or through additional information induced during the query process.
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