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Intelligent Document Retrieval: Exploiting Markup Structure (The Information Retrieval Series)
 
 
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Intelligent Document Retrieval: Exploiting Markup Structure (The Information Retrieval Series) [Hardcover]

Udo Kruschwitz (Author)

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Book Description

1402037678 978-1402037672 December 1, 2005 1
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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Editorial Reviews

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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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
query modification options, new dialogue state, query refinement options, query refinement terms, new goal description, simple dialogue system, domain model construction, markup contexts, constructed domain model, real user queries, best matching documents, existing classification structure, search eugiue, model construction process, query terns, dialogue manager, markup structure, query modifications, interactive track, modification suggestions, query relaxation, standard search engine, classified directories, query refinements, hoc search
Key Phrases - Capitalized Phrases (CAPs): (learn more)
University of Essex, Intelligent Web Search, Yellow Pages, Essex University, Searching Classified Directories, Computer Science, Relational Database, Edit View, Middle East, Alta Vista, Ranking Component, Exit Questionnaire
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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