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Titlebook: Intelligent Document Retrieval; Exploiting Markup St Udo Kruschwitz Book 2005 Springer Science+Business Media B.V. 2005 DOM.Ontologie.class

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书目名称Intelligent Document Retrieval
副标题Exploiting Markup St
编辑Udo Kruschwitz
视频videohttp://file.papertrans.cn/470/469652/469652.mp4
概述Using markup structure alone to extract knowledge from documents is new.Domain knowledge is extracted from documents in a fully automated process.The techniques outlined avoid the bottleneck of manual
丛书名称The Information Retrieval Series
图书封面Titlebook: Intelligent Document Retrieval; Exploiting Markup St Udo Kruschwitz Book 2005 Springer Science+Business Media B.V. 2005 DOM.Ontologie.class
描述.Collections of digital documents can nowadays be found everywhere in institutions, universities or companies. Examples are Web sites or intranets. But searching them for information can still be painful. Searches often return either large numbers of matches or no suitable matches at all. ...Such document collections can vary a lot in size and how much structure they carry. What they have in common is that they typically do have some structure and that they cover a limited range of topics. The second point is significantly different from the Web in general. ...The type of search system that we propose in this book can suggest ways of refining or relaxing the query to assist a user in the search process. In order to suggest sensible query modifications we would need to know what the documents are about. Explicit knowledge about the document collection encoded in some electronic form is what we need. However, typically such knowledge is not available. So we construct it automatically..
出版日期Book 2005
关键词DOM; Ontologie; classification; data analysis; information retrieval; management; system
版次1
doihttps://doi.org/10.1007/1-4020-3768-6
isbn_softcover978-90-481-6957-3
isbn_ebook978-1-4020-3768-9Series ISSN 1871-7500 Series E-ISSN 2730-6836
issn_series 1871-7500
copyrightSpringer Science+Business Media B.V. 2005
The information of publication is updating

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Data Analysis and Domain Model ConstructionThis chapter will address the data analysis and model construction issues in more detail. We will define . and relations between them. We will then discuss how the selected . can be arranged to obtain a model that is comparable to a classification hierarchy. The result will be our ..
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Book 2005t searching them for information can still be painful. Searches often return either large numbers of matches or no suitable matches at all. ...Such document collections can vary a lot in size and how much structure they carry. What they have in common is that they typically do have some structure an
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Incorporating Additional Knowledgection process, and other sources may be used by the dialogue system in a similar fashion as a domain model..What we did earlier in the domain model construction process was to impose a classification structure on a collection of partially structured documents, a structure that already exists in sour
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