Overview
- 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 document collection can be seen as navigating the user through the automatically extracted domain knowledge
- Combines the theoretical framework and detailed evaluation steps
Part of the book series: The Information Retrieval Series (INRE, volume 17)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Reviews
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)
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Document Retrieval
Book Subtitle: Exploiting Markup Structure
Authors: Udo Kruschwitz
Series Title: The Information Retrieval Series
DOI: https://doi.org/10.1007/1-4020-3768-6
Publisher: Springer Dordrecht
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2005
Hardcover ISBN: 978-1-4020-3767-2Published: 24 October 2005
Softcover ISBN: 978-90-481-6957-3Published: 28 October 2010
eBook ISBN: 978-1-4020-3768-9Published: 09 January 2006
Series ISSN: 1871-7500
Series E-ISSN: 2730-6836
Edition Number: 1
Number of Pages: XVI, 198
Topics: Theory of Computation, Computer Science, general, Information Storage and Retrieval, System Performance and Evaluation, Information Systems Applications (incl. Internet), Natural Language Processing (NLP)