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Metadata Extraction from Books with Facts about Austria

Published: 02 December 2013 Publication History

Abstract

Digitized fact books are valuable sources of knowledge. Full-text search is a powerful tool to access such knowledge. However, it often delivers too many results for general queries. Therefore we propose an approach to find relevant data by extracting metadata relevant for each page and allow to search for pages on the basis of their metadata as alternative to full-text search. Given the size of scanned data (high quality image scans) clearly this extraction cannot be done manually. As it turns out, although there are some common aspects, different books often need to be treated differently. In particular we can distinguish two kinds of books: lexicons (dictionaries) where items are arranged alphabetically and other books that describe various topics in a more narrative style. In this paper we describe the approach we used on different fact books in detail and share our learnings from this subject.

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Bamberger R. et al. 1995. Oesterreich Lexikon Band 1 A -- L. http://austria-forum.org/af/Web_Books/Lexika/Oesterreich_Lexikon_1995_Band1 (08.08.2013)
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  1. Metadata Extraction from Books with Facts about Austria

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    IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services
    December 2013
    753 pages
    ISBN:9781450321136
    DOI:10.1145/2539150
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 02 December 2013

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    Author Tags

    1. Austria
    2. Information Integration
    3. Information Retrieval
    4. Metadata
    5. Search

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