Can back-of-the-book indexes be automatically created?

Zhaohui Wu, Zhenhui Li, Prasenjit Mitra, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Automatic creation of back-of-the-book indexes remains one of the few manual tasks related to publishing. Inspired by how human indexers work on back-of-the-book indexes creation, we present a new domain-independent, corpus-free and training-free automation approach. Given a book, the index terms will be sequentially selected according to an indexability score encoded by the structure information residing in a book as well as a novel context-aware term informativeness measurement utilizing the power of the web knowledge base such as Wikipedia. By extensive experiments on books from various domains, we show our approach to be a more effective and practical than ones that used previous keyword extraction and supervised learning.

Original languageEnglish
Title of host publicationCIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management
Pages1745-1750
Number of pages6
DOIs
Publication statusPublished - 11 Dec 2013
Event22nd ACM International Conference on Information and Knowledge Management, CIKM 2013 - San Francisco, CA, United States
Duration: 27 Oct 20131 Nov 2013

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other22nd ACM International Conference on Information and Knowledge Management, CIKM 2013
CountryUnited States
CitySan Francisco, CA
Period27/10/131/11/13

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Keywords

  • Back-of-the-book index
  • Book index
  • Term informativeness

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

Cite this

Wu, Z., Li, Z., Mitra, P., & Giles, C. L. (2013). Can back-of-the-book indexes be automatically created? In CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (pp. 1745-1750). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/2505515.2505627