• DocumentCode
    2626791
  • Title

    Getting Creative with Semantic Similarity

  • Author

    Ching-Yun Chang ; Clark, Spencer ; Harrington, Brian

  • Author_Institution
    Comput. Lab., Univ. of Cambridge, Cambridge, UK
  • fYear
    2013
  • fDate
    16-18 Sept. 2013
  • Firstpage
    330
  • Lastpage
    333
  • Abstract
    This paper investigates how graph-based representations of entities and concepts can be used to infer semantic similarity and relatedness, and, more speculatively, how these can be used to infer novel associations as part of a creative process. We show how personalised PageRank on a co-occurrence graph can obtain competitive scores on a standard semantic similarity task, as well as being used to discover interesting and surprising links between entities. We hypothesise that such links could form the first stage in a creative ideation process.
  • Keywords
    graph theory; search engines; semantic Web; competitive scores; cooccurrence graph; graph-based representations; ideation process; personalised PageRank; standard semantic similarity task; Educational institutions; Electronic publishing; Encyclopedias; Internet; Semantics; Vectors; Semantic similarity; computational creativity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2013 IEEE Seventh International Conference on
  • Conference_Location
    Irvine, CA
  • Type

    conf

  • DOI
    10.1109/ICSC.2013.63
  • Filename
    6693538