Generating Object-Oriented Semantic Graph for Text Summarisation

Monika Joshi, Hui Wang, Sally McClean

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


In this research paper we propose to extend the semantic graph representation of natural language text to object-oriented semantic graph representation and generate a summary of the original text from this graph. We have provided rules to construct the object-oriented semantic graph and rules to generate the text summary from it. This process has been elaborated through a case study on a news story. An evaluation of the generated summary shows the effectiveness of the proposed approach. This work is a new direction in single document text summarisation research area from semantic perspective and requires further analysis and exploration.
Original languageEnglish
Title of host publicationMining Intelligence and Knowledge Exploration
Place of PublicationSwitzerland
Number of pages14
ISBN (Electronic)978-3-319-13817-6
ISBN (Print)978-3-319-13816-9
Publication statusPublished - 2014
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743

Bibliographical note

Mining Intelligence and Knowledge Exploration ; Conference date: 01-01-2014


  • Semantic graph
  • object oriented text representation
  • text summarisation

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