Using Virtual Meeting Structure to Support Summarisation

Antonios G. Nanos, Anne E. James, Rahat Iqbal, Yih Ling Hedley

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review


Archiving meeting transcripts in databases is not always efficient. Users need to be able to catch up with past meetings quickly, and therefore it is non-productive to read the full meeting transcript from scratch. A summarisation of the meeting transcript is preferable but the lack of meeting structure may lead to missing information. Therefore, we have introduced a virtual meeting system that is characterised by features that provide the meeting session with structure and a summarisation system that applies a TextRank approach on the structured meeting transcripts. The agenda with timed items guides the conversation. Thus the item delineation and title can be considered as the key characteristics of a valuable summary. Results show that combining an extraction summarisation technique with meeting structure leads to a relevant summary.

Original languageEnglish
Title of host publicationData Science - 30th British International Conference on Databases, BICOD 2015, Proceedings
PublisherSpringer Verlag
Number of pages4
ISBN (Electronic)9783319204239
Publication statusPublished - 2015
Event30th British International Conference on Databases - Edinburgh, United Kingdom
Duration: 6 Jul 20158 Jul 2015

Publication series

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


Conference30th British International Conference on Databases
Abbreviated titleBICOD 2015
Country/TerritoryUnited Kingdom


  • Automatic summarisation
  • Data model
  • Virtual meeting

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science


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