Rich interfaces for reading news on the web

Earl J. Wagner, Jiahui Liu, Lawrence A Birnbaum, Kenneth D Forbus

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

10 Scopus citations

Abstract

Using content-specific models to guide information retrieval and extraction can provide richer interfaces to end-users for both understanding the context of news events and navigating related news articles. In this paper we discuss a system, Brussell, that uses semantic models to organize retrieval and extraction results, generating both storylines explaining how news event situations unfold and also biographical sketches of the situation participants. We generalize these models to introduce a new category of knowledge representation, an explanatory structure, that can scale up to include information from hundreds of documents, yet still provide model-based UI support to end-users. An informal survey of business news suggests the broad prevalence of news event situations indicating Brussell's potential utility, while an evaluation quantifies its performance in finding kidnapping situations.

Original languageEnglish (US)
Title of host publicationProceedingsc of the 13th International Conference on Intelligent User Interfaces, IUI'09
Pages27-36
Number of pages10
DOIs
StatePublished - 2009
Event13th International Conference on Intelligent User Interfaces, IUI'09 - Sanibel Island, FL, United States
Duration: Feb 8 2009Feb 11 2009

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Other

Other13th International Conference on Intelligent User Interfaces, IUI'09
CountryUnited States
CitySanibel Island, FL
Period2/8/092/11/09

Keywords

  • Design
  • Explanatory structures
  • Human factors

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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