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Exploration of Web Search Results Based on the Formal Concept Analysis

  • Peter Butka
  • Thomas Low
  • Michael Kotzyba
  • Stefan Haun
  • Andreas Nürnberger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10546)

Abstract

In this paper, we present an approach to support exploratory search by structuring search results based on concept lattices, which are created on the fly using advanced methods from the area of Formal Concept Analysis (FCA). The main aim of the approach is to organize query based search engine results (e.g. web documents) as a hierarchy of clusters that are composed of documents with similar attributes. The concept lattice provides a structured view on the query-related domains and hence can improve the understanding of document properties and shared features. Additionally, we applied a fuzzy extension of FCA in order to support the usage of different types of attributes within the analyzed query results set. The approach has been integrated into an interactive web search interface. It provides a smooth integration of keyword-based web search and interactive visualization of concept lattice and its concepts in order to support complex search tasks.

Notes

Acknowledgments

This work was done with the help of Short Term Scientific Mission visit supported by the COST action IC1302 KEYSTONE (semantic KEYword-based Search on sTructured data sOurcEs), and partially within the Transregional Collaborative Research Centre SFB/TRR 62 “A Companion-Technology for Cognitive Technical Systems” funded by the German Research Foundation (DFG) and Slovak VEGA research grant 1/0493/16.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Peter Butka
    • 1
  • Thomas Low
    • 2
  • Michael Kotzyba
    • 2
  • Stefan Haun
    • 2
  • Andreas Nürnberger
    • 2
  1. 1.Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and InformaticsTechnical University of KosiceKosiceSlovakia
  2. 2.Data and Knowledge Engineering Group, Faculty of Computer ScienceOtto von Guericke University MagdeburgMagdeburgGermany

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