• DocumentCode
    2733994
  • Title

    e - Document retrieval using rough-set theory

  • Author

    Ansari, A.Q.

  • Author_Institution
    Dept. of Electr. Eng., Jamia Millia Islamia, New Delhi, India
  • fYear
    2011
  • fDate
    3-5 Nov. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the growing use of networked solutions and services in the Information Society, many citizen-oriented services are planned not only in utility or e-governance sectors, but also in other information-centric human applications. Conventional DBMS may have either two-tier or three-tier client/server architecture [19]. These are already being used on the Internet. Web Applications provide Network Interfaces to access information stored in one or more databases. The generic method of organizing and formatting these Network Interfaces is through the hyperlink documents, which are coded in languages like HTML or XML [3]. Further, the proliferation of Data Mining and Data Warehousing practices has necessitated the need for efficient e-Document retrieval, creating a requirement for robust Information Retrieval (IR) systems. In this paper we show that rough-set theory characterizes new and interesting viewpoint for electronics document (e-Documents) retrievals. We explore the characteristics of an e-Document and applicability of rough-set theory in detail.
  • Keywords
    Internet; client-server systems; data mining; data warehouses; database management systems; document handling; information retrieval; information retrieval systems; network interfaces; rough set theory; DBMS; HTML; Internet; Web applications; XML; citizen-oriented services; client-server architecture; data mining proliferation; data warehousing; e-document retrieval; e-governance sectors; electronics document; information access; information retrieval systems; information society; information-centric human applications; network interfaces; using rough-set theory; Approximation methods; HTML; Information processing; Information retrieval; Rough sets; Software; HTML; Information Retrieval; Rough Set; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Information Processing (ICIIP), 2011 International Conference on
  • Conference_Location
    Himachal Pradesh
  • Print_ISBN
    978-1-61284-859-4
  • Type

    conf

  • DOI
    10.1109/ICIIP.2011.6108907
  • Filename
    6108907