People search using NDC classification system

  • Authors:
  • Harumi Murakami;Yoshinobu Ura

  • Affiliations:
  • Osaka City University, Osaka, Japan;winspire, Wakayama, Japan

  • Venue:
  • Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

To help users select and understand people during searches for them, we present a method of assigning Nippon Decimal Classification (NDC), which is a system of library classification numbers, to people on the Web. By assigning NDC numbers to people, we can assign not only labels to people but also build a NDC-based people directory. We developed a prototype based on this approach.