This paper introduces a tool for Conceptual
Knowledge Processing with Google. The featured
prototype, called FooCA, tries to combine
the advantages of two research disciplines, Web
Mining and Formal Concept Analysis (FCA).
Web Mining techniques are used to preprocess
search results retrieved via Google, presenting
the formal context in an interactive cross table.
A new formal context can be iteratively explored
by user-configured query refinement. Depending
on his personal information need, the user can
make decisions about the way he wants to navigate
through Google Web search results. Moreover,
the user may enable or disable Web Mining
or FCA options to help him obtain an overview of
the context and to give him more influence than
he would have when working with a traditional
search engine interface.
Description
FCA Conceptual Knowledge Processing Google Snippet Web Mining Search Retrieval
%0 Conference Paper
%1 DBLP:conf/lwa/Koester05
%A Koester, Bjoern
%B LWA
%D 2005
%E Bauer, Mathias
%E Brandherm, Boris
%E Fürnkranz, Johannes
%E Grieser, Gunter
%E Hotho, Andreas
%E Jedlitschka, Andreas
%E Kröner, Alexander
%I DFKI
%K Google Processing Knowledge Conceptual Search Web Retrieval Snippet FCA Mining
%P 178-183
%T Conceptual Knowledge Processing with Google.
%U http://www.ke.informatik.tu-darmstadt.de/events/FGML-05/papers/paper11.pdf
%X This paper introduces a tool for Conceptual
Knowledge Processing with Google. The featured
prototype, called FooCA, tries to combine
the advantages of two research disciplines, Web
Mining and Formal Concept Analysis (FCA).
Web Mining techniques are used to preprocess
search results retrieved via Google, presenting
the formal context in an interactive cross table.
A new formal context can be iteratively explored
by user-configured query refinement. Depending
on his personal information need, the user can
make decisions about the way he wants to navigate
through Google Web search results. Moreover,
the user may enable or disable Web Mining
or FCA options to help him obtain an overview of
the context and to give him more influence than
he would have when working with a traditional
search engine interface.
@inproceedings{DBLP:conf/lwa/Koester05,
abstract = {This paper introduces a tool for Conceptual
Knowledge Processing with Google. The featured
prototype, called FooCA, tries to combine
the advantages of two research disciplines, Web
Mining and Formal Concept Analysis (FCA).
Web Mining techniques are used to preprocess
search results retrieved via Google, presenting
the formal context in an interactive cross table.
A new formal context can be iteratively explored
by user-configured query refinement. Depending
on his personal information need, the user can
make decisions about the way he wants to navigate
through Google Web search results. Moreover,
the user may enable or disable Web Mining
or FCA options to help him obtain an overview of
the context and to give him more influence than
he would have when working with a traditional
search engine interface.},
added-at = {2006-02-24T17:03:11.000+0100},
author = {Koester, Bjoern},
bibsource = {DBLP, http://dblp.uni-trier.de},
biburl = {https://www.bibsonomy.org/bibtex/2356710f73d6e1e9749ce55866c5cb5bc/bjoernk},
booktitle = {LWA},
crossref = {DBLP:conf/lwa/2005},
description = {FCA Conceptual Knowledge Processing Google Snippet Web Mining Search Retrieval},
editor = {Bauer, Mathias and Brandherm, Boris and F{\"u}rnkranz, Johannes and Grieser, Gunter and Hotho, Andreas and Jedlitschka, Andreas and Kr{\"o}ner, Alexander},
howpublished = {\url{http://www.ke.informatik.tu-darmstadt.de/events/FGML-05/papers/paper11.pdf}},
interhash = {0e432865673678fd90980d999453b145},
intrahash = {356710f73d6e1e9749ce55866c5cb5bc},
keywords = {Google Processing Knowledge Conceptual Search Web Retrieval Snippet FCA Mining},
pages = {178-183},
publisher = {DFKI},
timestamp = {2006-02-24T17:03:11.000+0100},
title = {Conceptual Knowledge Processing with Google.},
url = {http://www.ke.informatik.tu-darmstadt.de/events/FGML-05/papers/paper11.pdf},
year = 2005
}