• DocumentCode
    2313676
  • Title

    A Survey on Web Content Mining and Extraction of Structured and Semistructured Data

  • Author

    Pol, Kshitija ; Patil, Nita ; Patankar, Shreya ; Das, Chhaya

  • Author_Institution
    Datta Meghe Coll. of Eng., Airoli, Mumbai
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    543
  • Lastpage
    546
  • Abstract
    With the research in information retrieval and phenomenal growth of the Web, todaypsilas Websites have become a key communication and information medium for various organizations. It also offers an unprecedented opportunity and challenges to data mining. Various techniques are available to extract useful data from the web. It is very important for the users to utilize this information effectively which helps them to understand the structure of information on the Web more deeply and precisely. This paper conducts a survey of how Web content mining plays an efficient tool in extracting structured and semi structured data and mining them into useful knowledge.
  • Keywords
    Internet; data mining; data structures; feature extraction; information retrieval; Web content mining; Web extraction; data mining; information Retrieval; semistructured data; Content based retrieval; Crawlers; Data engineering; Data mining; Educational institutions; Explosives; Information retrieval; Search engines; Web mining; Web pages; Semi Structured data; Web Content mining; structured data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
  • Conference_Location
    Nagpur, Maharashtra
  • Print_ISBN
    978-0-7695-3267-7
  • Electronic_ISBN
    978-0-7695-3267-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2008.251
  • Filename
    4579960