• DocumentCode
    2917109
  • Title

    DOM-Based Web Pages to Determine the Structure of the Similarity Algorithm

  • Author

    Kang, Chunying

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Heilongjiang Univ., Harbin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    245
  • Lastpage
    248
  • Abstract
    Web data is currently mainly in the form of HTML pages, expressed by the HTML language of Web pages through the browser after analysis is only suitable for people to browse, not suitable for data exchange as a way to deal with by a computer. This article will make web page decompound a DOM tree, then from the DOM tree body root node to start, in accordance with the breadth-first traversal order DOM tree, layer by layer comparison DOM node tree, statistics of its changes, and then the sum of all floors of the changes, If less than a certain threshold, it is structurally similar to two pages, otherwise dissimilar. because this algorithm is only concerned about the page structure information without concern for the content of the page, it has a very high operating efficiency, while the algorithm is not limited to a specific web page, with good versatility.
  • Keywords
    Web sites; document handling; electronic data interchange; hypermedia markup languages; object-oriented programming; online front-ends; tree searching; DOM node tree; DOM-based Web pages; HTML language; HTML pages; Web browser; Web data; breadth-first traversal order DOM tree; data exchange; page structure information; similarity algorithm; Computer displays; Data mining; Educational institutions; HTML; Information analysis; Information technology; Intelligent structures; Internet; Statistics; Web pages; DOM; Similarity Algorithm; Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.218
  • Filename
    5369421