• DocumentCode
    2447096
  • Title

    Metadata Extraction from Semi-structured Email Documents

  • Author

    Sharma, Ashok ; Chaudhary, B.D. ; Gore, M.M.

  • Author_Institution
    Satyam Comput. Services Ltd., Hyderabad
  • fYear
    2008
  • fDate
    July 27 2008-Aug. 1 2008
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    This paper presents metadata extraction technique from email documents. Emails are characterized in terms of keywords that are extracted from body of the mail using frequency, average similarity and term discrimination value measures. The email metadata is defined as a document type definition (DTD) in extensible markup language (XML) that captures the structure as well as content characterizing keywords with their attributes (weights). A PERL application has been designed and implemented to extract keywords with their attributes (weights) and generate XML document for email metadata. Practical applications of metadata extraction technique are also discussed briefly.
  • Keywords
    Perl; XML; electronic mail; meta data; PERL application; XML document; average similarity; document type definition; email metadata; extensible markup language; metadata extraction; semi-structured email documents; term discrimination value measures; Content management; Data mining; Frequency measurement; Indexing; Information technology; Postal services; Spine; Text analysis; XML; DTD; Perl; Term discrimination values; XML; average similarity; email; index words; metadata;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in the Global Information Technology, 2008. ICCGI '08. The Third International Multi-Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-0-7695-3275-2
  • Electronic_ISBN
    978-0-7695-3275-2
  • Type

    conf

  • DOI
    10.1109/ICCGI.2008.52
  • Filename
    4591345