A support tool for deriving domain taxonomies from Wikipedia

Zemer Avital, Ido Dagan, Amnon Lotan, Ofer Weintraub

Research output: Contribution to journalConference articlepeer-review

Abstract

Organizing data into category hierarchies (taxonomies) is useful for content discovery, search, exploration and analysis. In industrial settings targeted taxonomies for specific domains are mostly created manually, typically by domain experts, which is time consuming and requires a high level of expertise. This paper presents an algorithm and an implemented interactive system for automatically generating target-domain taxonomies based on the Wikipedia Category Hierarchy. The system also enables human post-editing, facilitated by intelligent assistance.

Original languageEnglish
Pages (from-to)503-508
Number of pages6
JournalInternational Conference Recent Advances in Natural Language Processing, RANLP
StatePublished - 2011
Event8th International Conference on Recent Advances in Natural Language Processing, RANLP 2011 - Hissar, Bulgaria
Duration: 12 Sep 201114 Sep 2011

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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