Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1109/SKG.2015.18guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Temporal Learning of Semantic Relations between Concepts Using Web Repository

Published: 19 August 2015 Publication History

Abstract

In this paper, the study on generating temporal learning of relations between concepts is proposed. The purpose of the proposed study is to annotate a relation between concepts with semantic, temporal, concise, and structured information, which can release the cognitive burden of learning relations between concepts for users. The temporal annotations can help users to learn and understand the unfamiliar or new emerged relations between concepts. A general method is proposed to generate temporal learning of a relation between concepts by constructing its relation words, relation sentences, relation graph, and relation factor. Empirical experiments on movie star dataset show that the proposed algorithm is effective and accurate.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings
SKG '15: Proceedings of the 2015 11th International Conference on Semantics, Knowledge and Grids (SKG)
August 2015
285 pages
ISBN:9781467398084

Publisher

IEEE Computer Society

United States

Publication History

Published: 19 August 2015

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 22 Nov 2024

Other Metrics

Citations

View Options

View options

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media