• DocumentCode
    1787408
  • Title

    Creating a Phrase Similarity Graph from Wikipedia

  • Author

    Stanchev, Lubomir

  • Author_Institution
    Comput. Sci. Dept., Indiana Univ.-Purdue Univ. Fort Wayne, Fort Wayne, IN, USA
  • fYear
    2014
  • fDate
    16-18 June 2014
  • Firstpage
    68
  • Lastpage
    75
  • Abstract
    The paper addresses the problem of modeling the relationship between phrases in English using a similarity graph. The mathematical model stores data about the strength of the relationship between phrases expressed as a decimal number. Both structured data from Wikipedia, such as that the Wikipedia page with title "Dog" belongs to the Wikipedia category "Domesticated animals", and textual descriptions, such as that the Wikipedia page with title "Dog" contains the word "wolf" thirty one times are used in creating the graph. The quality of the graph data is validated by comparing the similarity of pairs of phrases using our software that uses the graph with results of studies that were performed with human subjects. To the best of our knowledge, our software produces better correlation with the results of both the Miller and Charles study and the WordSimilarity-353 study than any other published research.
  • Keywords
    data structures; graph theory; natural language processing; storage management; Wikipedia category domesticated animals; Wikipedia page; WordSimilarity-353 study; data structure; decimal number; dog; graph data quality; mathematical model; phrase similarity graph; textual descriptions; wolf; Computers; Electronic publishing; Encyclopedias; Ice; Internet; Semantics; semantic search; similarity graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2014 IEEE International Conference on
  • Conference_Location
    Newport Beach, CA
  • Print_ISBN
    978-1-4799-4002-8
  • Type

    conf

  • DOI
    10.1109/ICSC.2014.22
  • Filename
    6882003