• DocumentCode
    3127604
  • Title

    Shopping search and the semantic web

  • Author

    Canthadai, Aravind M.

  • Author_Institution
    SmarTek21, Kirkland, WA, USA
  • fYear
    2011
  • fDate
    9-12 Jan. 2011
  • Firstpage
    699
  • Lastpage
    700
  • Abstract
    Faceted search is becoming very common in commerce search. We introduce a new type of facet: a predefined schema for a product which can be used for the drilldown process. The actual search process which ensues from using such a facet is what is commonly known as a keytree search. Keytree search is a search on a library of XML documents which need to be ranked so they satisfy both the keyword and the tree structure constraints. This is a position paper which proposes combining existing vector space models (for keyword match) with tree isomorphism codes (for structural match).
  • Keywords
    XML; information retrieval; retail data processing; semantic Web; tree codes; tree data structures; trees (mathematics); XML document; faceted search; keytree search; semantic web; shopping search; tree isomorphism code; vector space model; Biological system modeling; Electronic commerce; Libraries; Search engines; Semantics; XML; ecommerce; information retrieval; semantic web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2011 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-8789-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2011.5766578
  • Filename
    5766578