Topic mapping: A tool for finding the meaning of internet search queries

Domonkos Tikk, Zsolt T. Kardkovács, Zoltán Bánsághi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Capturing the meaning of internet search queries can significantly improve the effectiveness of search retrieval. Users often face with the problem of finding the relevant answer on the result pages for their internet search, particularly, when the posted query is ambiguous. The orientation of the user can be greatly facilitated, if answers are grouped into topics of a fixed subject taxonomy. In this manner, the original problem can be transformed to the labelling of queries-and consequently, the answers - with the topic names. This is clearly a categorization problem, i.e. it requires supervised machine learning. This paper introduces our approach, called Ferrety algorithm that performs topic assignment, which also works when there is no directly available training data that describes the semantics of the subject taxonomy. It is presented via the example of ACM KDD Cup 2005 problem, where Ferrety was awarded for precision and creativity.

Original languageEnglish
Title of host publicationINES 2006
Subtitle of host publication10th International Conference on Intelligent Engineering Systems 2006
Pages227-232
Number of pages6
Publication statusPublished - Dec 1 2006
EventINES 2006: 10th International Conference on Intelligent Engineering Systems 2006 - London, United Kingdom
Duration: Jun 26 2006Jun 28 2006

Publication series

NameINES 2006: 10th International Conference on Intelligent Engineering Systems 2006

Other

OtherINES 2006: 10th International Conference on Intelligent Engineering Systems 2006
CountryUnited Kingdom
CityLondon
Period6/26/066/28/06

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Applied Mathematics
  • Theoretical Computer Science

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  • Cite this

    Tikk, D., Kardkovács, Z. T., & Bánsághi, Z. (2006). Topic mapping: A tool for finding the meaning of internet search queries. In INES 2006: 10th International Conference on Intelligent Engineering Systems 2006 (pp. 227-232). [1689374] (INES 2006: 10th International Conference on Intelligent Engineering Systems 2006).