Table summarization with the help of domain lattices

Kasim Candan, Huiping Cao, Yan Qi, Maria Luisa Sapino

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

Abstract

Table summarization is necessary in various scenarios where it is hard to display a large table. It can benefit from knowledge about acceptable value clustering alternatives. In this paper, we formulate the problem of table summarization with the help of domain knowledge lattices. We provide the outline of a fuzzy mechanism to express alternative clustering strategies. We further sketch a novel ranked set cover based evaluation mechanism (RSC) to tackle with the inherent complexity.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Pages1473-1474
Number of pages2
DOIs
StatePublished - 2008
Event17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA, United States
Duration: Oct 26 2008Oct 30 2008

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other17th ACM Conference on Information and Knowledge Management, CIKM'08
Country/TerritoryUnited States
CityNapa Valley, CA
Period10/26/0810/30/08

Keywords

  • Ranked set cover
  • Table summarization
  • Value clustering lattice

ASJC Scopus subject areas

  • General Decision Sciences
  • General Business, Management and Accounting

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