SCIENCE@home

Approximating User's Intention for Search Engine Queries

Aya Awad,M. El-Sayed,Yasser El-Sonbaty

Published 2012 in International Conference on Web Information Systems and Technologies

ABSTRACT

Documents on the internet are not organized in a way that eases search and retrieval by users using search engines. The user of the search engine is typically overwhelmed by the size of the returned result and does not normally look beyond the first few pages of result. Knowing that the majority of search engines are term-based, this information retrieval problem is caused by two issues: (1) query articulation issue; where the user is not capable of expressing his information need well, and (2) semantic gap issue where the search engine may not be able to retrieve semantically relevant documents. In this paper we introduce a solution that addresses these issues through semantic enrichment and query reformulation. Our solution approximates the user’s intention in order to return better search results. Experiments show significant enhancement in search results over traditional keyword-based search engines’ results and over selected semantic search engines.

PUBLICATION RECORD

  • Publication year

    2012

  • Venue

    International Conference on Web Information Systems and Technologies

  • Publication date

    Unknown publication date

  • Fields of study

    Computer Science

  • Identifiers
    DOI 10.5220/0003927604220425
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-10 of 10 references · Page 1 of 1

CITED BY