Intelligent Document Retrieval: Exploiting Markup Structure: 17 (The Information Retrieval Series) - Softcover
Book 13 of 42: The Information Retrieval
Synopsis
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.
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Review
From the reviews:
"The main idea of this book, based on the author’s PhD thesis, is to use markup information as a series of cues to the significance of words and concepts in a text, thus enhancing the indexing of that text. The technique is developed for collections of texts with a specific focus, such as a Web site or a collection of documents ... . The presented approach is attractive, because it can be adapted to different contexts in a straightforward manner ... ." (D. T. Barnard, Computing Reviews, July, 2006)
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Intelligent Document Retrieval
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 216 pp. Englisch. Seller Inventory # 9789048169573
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 customization Searching a documen. Seller Inventory # 5820805
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Taschenbuch. Condition: Neu. Intelligent Document Retrieval | Exploiting Markup Structure | Udo Kruschwitz | Taschenbuch | xvi | Englisch | 2010 | Springer Netherland | EAN 9789048169573 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 107244653
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Intelligent Document Retrieval
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 216 pp. Englisch. Seller Inventory # 9789048169573