Design of an interface for interactive topic detection and tracking

Masnizah Mohd, Fabio Crestani, Ian Ruthven

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

15 Citations (Scopus)

Abstract

This paper presents the design of a new interface for interactive Topic Detection and Tracking (TDT) called Ievent. It is composed of 3 main views; a Cluster View, a Document View, and a Named Entity View, supporting the user in identifying new events and tracking them in a news stream. The interface has also been designed to test the usefulness in interactive TDT of named entity recognition. We report some initial findings from a user study on the effectiveness of our novel interface.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages227-238
Number of pages12
Volume5822 LNAI
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event8th International Conference on Flexible Query Answering Systems, FQAS 2009 - Roskilde
Duration: 26 Oct 200928 Oct 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5822 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Flexible Query Answering Systems, FQAS 2009
CityRoskilde
Period26/10/0928/10/09

Fingerprint

Named Entity Recognition
User Studies
Design

Keywords

  • Interface
  • Named entity recognition
  • TDT

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Mohd, M., Crestani, F., & Ruthven, I. (2009). Design of an interface for interactive topic detection and tracking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5822 LNAI, pp. 227-238). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5822 LNAI). https://doi.org/10.1007/978-3-642-04957-6_20

Design of an interface for interactive topic detection and tracking. / Mohd, Masnizah; Crestani, Fabio; Ruthven, Ian.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5822 LNAI 2009. p. 227-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5822 LNAI).

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

Mohd, M, Crestani, F & Ruthven, I 2009, Design of an interface for interactive topic detection and tracking. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5822 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5822 LNAI, pp. 227-238, 8th International Conference on Flexible Query Answering Systems, FQAS 2009, Roskilde, 26/10/09. https://doi.org/10.1007/978-3-642-04957-6_20
Mohd M, Crestani F, Ruthven I. Design of an interface for interactive topic detection and tracking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5822 LNAI. 2009. p. 227-238. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-04957-6_20
Mohd, Masnizah ; Crestani, Fabio ; Ruthven, Ian. / Design of an interface for interactive topic detection and tracking. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5822 LNAI 2009. pp. 227-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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