%0 
%0 Conference Proceedings
%A Jäschke, Robert & Rudolph, Sebastian
%D 2013
%T Attribute Exploration on the Web
%E Cellier, Peggy; Distel, Felix & Ganter, Bernhard
%B Contributions to the 11th International Conference on Formal Concept Analysis
%C 
%I 
%V 
%6
%N 
%P 19--34
%& 
%Y Technische Universität Dresden
%S 
%7
%8 May
%9
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%1 
%2 
%3 inproceedings
%4 
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%$ 
%F jaschke2013attribute
%K 2013, acquisition, analysis, attribute, computing, concept, crowdsourcing, data, exploration, fca, formal, human, information, ir, iteg, knowledge, l3s, linked, lod, open, retrieval, search, sparql, web
%X We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.
%Z 
%U http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133
%+
%^

%0 
%0 Conference Proceedings
%A Krause, Beate; Jäschke, Robert; Hotho, Andreas & Stumme, Gerd
%D 2008
%T Logsonomy - Social Information Retrieval with Logdata
%E 
%B HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia
%C New York, NY, USA
%I ACM
%V 
%6
%N 
%P 157--166
%& 
%Y 
%S 
%7
%8 
%9
%? 
%! 
%Z 
%@ 978-1-59593-985-2
%(
%)
%*
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%1 
%2 
%3 inproceedings
%4 
%# 
%$ 
%F krause2008logsonomy
%K 2.0, 2008, analysis, folksonomy, information, itegpub, logsonomy, myown, network, retrieval, search, social, tagorapub, web, web2.0, web20
%X Social bookmarking systems constitute an established
part of the Web 2.0. In such systems
users describe bookmarks by keywords
called tags. The structure behind these social
systems, called folksonomies, can be viewed
as a tripartite hypergraph of user, tag and resource
nodes. This underlying network shows
specific structural properties that explain its
growth and the possibility of serendipitous
exploration.
Today’s search engines represent the gateway
to retrieve information from the World Wide
Web. Short queries typically consisting of
two to three words describe a user’s information
need. In response to the displayed
results of the search engine, users click on
the links of the result page as they expect
the answer to be of relevance.
This clickdata can be represented as a folksonomy
in which queries are descriptions of
clicked URLs. The resulting network structure,
which we will term logsonomy is very
similar to the one of folksonomies. In order
to find out about its properties, we analyze
the topological characteristics of the tripartite
hypergraph of queries, users and bookmarks
on a large snapshot of del.icio.us and
on query logs of two large search engines.
All of the three datasets show small world
properties. The tagging behavior of users,
which is explained by preferential attachment
of the tags in social bookmark systems, is
reflected in the distribution of single query
words in search engines. We can conclude
that the clicking behaviour of search engine
users based on the displayed search results
and the tagging behaviour of social bookmarking
users is driven by similar dynamics.
%Z 
%U http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Journals&title=Proceedings%20of%20the%20nineteenth%20ACM%20conference%20on%20Hypertext%20and%20hypermedia
%+
%^

%0 
%0 Conference Proceedings
%A Ducrou, J.; Vormbrock, B. & Eklund, P. W.
%D 2006
%T FCA-based Browsing and Searching of a Collection of Images
%E 
%B Proc. of the 14 th Int. Conference on Conceptual Structures
%C 
%I Springer-Verlag
%V 
%6
%N 
%P 
%& 
%Y 
%S 
%7
%8 
%9
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%)
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%1 
%2 
%3 inproceedings
%4 
%# 
%$ 
%F ducrou2006FCA
%K FCA, OntologyHandbook, analysis, concept, fca, formal, image, images, information, ir, retrieval, sleuth
%X 
%Z 
%U 
%+
%^

%0 
%0 Conference Proceedings
%A 
%D 2006
%T FCA-based Browsing and Searching of a Collection of Images
%E Ducrou, J.; Vormbrock, B. & Eklund, P. W.
%B Proc. of the 14 th Int. Conference on Conceptual Structures
%C 
%I Springer-Verlag
%V 
%6
%N 
%P 
%& 
%Y 
%S 
%7
%8 
%9
%? 
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%)
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%1 
%2 
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%4 
%# 
%$ 
%F ducrou2006FCA
%K analysis, concept, fca, formal, image, images, information, ir, retrieval, sleuth
%X 
%Z 
%U 
%+
%^

%0 
%0 Conference Proceedings
%A Hotho, Andreas; J\"a,schke, Robert; Schmitz, Christoph & Stumme, Gerd
%D 2006
%T Information Retrieval in Folksonomies: Search and Ranking
%E 
%B Proceedings of the 3rd European Semantic Web Conference
%C 
%I Springer
%V 
%6
%N 
%P 411-426
%& 
%Y 
%S Lecture Notes in Computer Science
%7
%8 
%9
%? 
%! 
%Z 
%@ 
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%)
%*
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%1 
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%3 inproceedings
%4 
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%$ 
%F hotho2006information
%K FCA, OntologyHandbook, folkrank, folksonomy, graph, information, mining, pagerank, rank, ranking, retrieval, search, seminar2006
%X 
%Z 
%U 
%+
%^

%0 
%0 Conference Proceedings
%A Hotho, Andreas; Jäschke, Robert; Schmitz, Christoph & Stumme, Gerd
%D 2006
%T Information Retrieval in Folksonomies: Search and Ranking
%E Sure, York & Domingue, John
%B The Semantic Web: Research and Applications
%C Heidelberg
%I Springer
%V 4011
%6
%N 
%P 411-426
%& 
%Y 
%S LNAI
%7
%8 June
%9
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%! 
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%@ 
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%)
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%1 
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%4 
%# 
%$ 
%F hotho2006information
%K 2006, FCA, IR, OntologyHandbook, folkrank, folksonomy, information, informationretrieval, itegpub, mimose, myown, pagerank, ranking, retrieval
%X 
%Z 
%U 
%+
%^

%0 
%0 Conference Proceedings
%A Hotho, Andreas; J�schke, Robert; Schmitz, Christoph & Stumme, Gerd
%D 2006
%T Information Retrieval in Folksonomies: Search and Ranking
%E Sure, York & Domingue, John
%B The Semantic Web: Research and Applications
%C Heidelberg
%I Springer
%V 4011
%6
%N 
%P 411-426
%& 
%Y 
%S LNAI
%7
%8 June
%9
%? 
%! 
%Z 
%@ 
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%)
%*
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%1 
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%4 
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%$ 
%F hotho2006information
%K 2006, FCA, IR, OntologyHandbook, folkrank, folksonomy, information, informationretrieval, itegpub, mimose, myown, pagerank, ranking, retrieval
%X 
%Z 
%U 
%+
%^

%0 
%0 Journal Article
%A Cole, Richard J.; Eklund, Peter W. & Stumme, Gerd
%D 2003
%T Document Retrieval for Email Search and Discovery using Formal Concept Analysis
%E 
%B Journal of Applied Artificial Intelligence (AAI)
%C 
%I 
%V 17
%6
%N 3
%P 257-280
%& 
%Y 
%S 
%7
%8 
%9
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%)
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%1 
%2 Publications of Gerd Stumme
%3 article
%4 
%# 
%$ 
%F cole03document
%K 2003, analysis, concept, email, fca, formal, information, myown, nepomuk, retrieval, search
%X This paper discusses an document discovery tool based on
conceptual clustering by formal concept analysis. The program
allows users to navigate email using a visual lattice metaphor
rather than a tree. It implements a virtual file structure over
email where files and entire directories can appear in multiple
positions. The content and shape of the lattice formed by the
conceptual ontology can assist in email discovery. The system
described provides more flexibility in retrieving stored emails
than what is normally available in email clients. The paper
discusses how conceptual ontologies can leverage traditional
document retrieval systems and aid knowledge discovery in document
collections.
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2003/AAI03_emails.pdf
%+
%^

%0 
%0 Book
%A Ferber, Reginald
%D 2003
%T Information Retrieval: Suchmodelle und Data-Mining-Verfahren für Textsammlungen und das Web
%E 
%B 
%C Heidelberg
%I dpunkt Verlag
%V 
%6
%N 
%P
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%Y 
%S 
%7 
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%)
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%2 
%3 book
%4 
%# 
%$ 
%F ferber2003information
%K Data, lecture, information, ir, data, Web, Retrieval, Information, standard, mining, Mining
%X 
%Z 
%U http://information-retrieval.de/
%+
%^

%0 
%0 Conference Proceedings
%A Hotho, A; Staab, S. & Stumme, G.
%D 2003
%T Wordnet improves text document clustering
%E 
%B Proc. SIGIR Semantic Web Workshop
%C Toronto
%I 
%V 
%6
%N 
%P 
%& 
%Y 
%S 
%7
%8 
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%)
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%1 
%2 Publications of Gerd Stumme
%3 inproceedings
%4 
%# 
%$ 
%F hotho03wordnet
%K 2003, clustering, data, discovery, document, information, ir, kdd, kmeans, knowledge, mining, myown, retrieval, text, wordnet
%X 
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003wordnet.pdf
%+
%^

%0 
%0 Conference Proceedings
%A Sarwar, Badrul M.; Karypis, George; Konstan, Joseph A. & Riedl, John
%D 2001
%T Item-based collaborative filtering recommendation algorithms.
%E 
%B WWW
%C 
%I 
%V 
%6
%N 
%P 285-295
%& 
%Y 
%S 
%7
%8 
%9
%? 
%! 
%Z 
%@ 
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%)
%*
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%M
%1 
%2 dblp
%3 inproceedings
%4 
%# 
%$ 
%F conf/www/SarwarKKR01
%K lecture, retrieval, ir, information, advanced
%X 
%Z 
%U http://dblp.uni-trier.de/db/conf/www/www2001.html#SarwarKKR01
%+
%^

%0 
%0 Book
%A Baeza-Yates, Ricardo A. & Ribeiro-Neto, Berthier A.
%D 1999
%T Modern Information Retrieval
%E 
%B 
%C 
%I ACM Press / Addison-Wesley
%V 
%6
%N 
%P
%& 
%Y 
%S 
%7 
%8 
%9
%? 
%! 
%Z 
%@ 0-201-39829-X
%(
%)
%*
%L
%M
%1 
%2 dblp
%3 book
%4 
%# 
%$ 
%F books/aw/Baeza-YatesR99
%K künstliche, lecture, retrieval, vorlesung, ir, information, intelligenz, Retrieval, standard, Information
%X 
%Z 
%U http://www.ischool.berkeley.edu/~hearst/irbook/glossary.html
%+
%^

%0 
%0 Conference Proceedings
%A Stumme, Gerd
%D 1999
%T Dual Retrieval in Conceptual Information Systems
%E Buchmann, A.
%B Datenbanksysteme in Büro, Technik und Wissenschaft. Proc. BTW'99
%C Heidelberg
%I 
%V 
%6
%N 
%P 328-342
%& 
%Y 
%S 
%7
%8 
%9
%? 
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%)
%*
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%M
%1 
%2 Publications of Gerd Stumme
%3 inproceedings
%4 
%# 
%$ 
%F stumme99dual
%K 1999, analysis, concept, conceptual, fca, formal, information, myown, retrieval, systems, toscana
%X 
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/1999/P2021-BTW99.pdf
%+
%^

%0 
%0 Book
%A 
%D 1997
%T Readings in Information Retrieval
%E Sparck-Jones, K. & Willett, P.
%B 
%C 
%I Morgan Kaufmann
%V 
%6
%N 
%P
%& 
%Y 
%S 
%7 
%8 
%9
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%)
%*
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%1 
%2 
%3 book
%4 
%# 
%$ sparck-jones+willett97
%F sparck-jones+willett97
%K lecture, retrieval, ir, information, advanced, readings
%X 
%Z 
%U 
%+
%^

%0 
%0 Journal Article
%A Carpineto, Claudio & Romano, Giovanni
%D 1996
%T A lattice conceptual clustering system and its application to browsing retrieval
%E 
%B Machine Learning
%C 
%I 
%V 24
%6
%N 2
%P 95--122
%& 
%Y 
%S 
%7
%8 August
%9
%? 
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%)
%*
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%1 
%2 fca
%3 article
%4 
%# 
%$ 
%F keyhere
%K analysis, carpineto, clustering, concept, fca, formal, information, ir, retrieval
%X The theory of concept (or Galois) lattices provides a simple and formal approach to conceptual clustering. In this paper we present GALOIS, a system that automates and applies this theory. The algorithm utilized by GALOIS to build a concept lattice is incremental and efficient, each update being done in time at most quadratic in the number of objects in the lattice. Also, the algorithm may incorporate background information into the lattice, and through clustering, extend the scope of the theory. The application we present is concerned with information retrieval via browsing, for which we argue that concept lattices may represent major support structures. We describe a prototype user interface for browsing through the concept lattice of a document-term relation, possibly enriched with a thesaurus of terms. An experimental evaluation of the system performed on a medium-sized bibliographic database shows good retrieval performance and a significant improvement after the introduction of background knowledge.
ER  -
%Z 
%U http://dx.doi.org/10.1007/BF00058654
%+
%^

%0 
%0 Conference Proceedings
%A Lang, Ken
%D 1995
%T NewsWeeder: learning to filter netnews
%E 
%B Proceedings of the 12th International Conference on Machine Learning
%C 
%I Morgan Kaufmann publishers Inc.: San Mateo, CA, USA
%V 
%6
%N 
%P 331--339
%& 
%Y 
%S 
%7
%8 
%9
%? 
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%)
%*
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%M
%1 
%2 NewsWeeder: Learning to Filter Netnews - Lang (ResearchIndex)
%3 inproceedings
%4 
%# 
%$ 
%F lang95newsweeder
%K lecture, retrieval, ir, information, advanced
%X 
%Z 
%U http://citeseer.ist.psu.edu/lang95newsweeder.html
%+
%^

%0 
%0 Conference Proceedings
%A Voorhees, Ellen M.
%D 1994
%T Query Expansion Using Lexical-Semantic Relations.
%E 
%B SIGIR
%C 
%I 
%V 
%6
%N 
%P 61-69
%& 
%Y 
%S 
%7
%8 
%9
%? 
%! 
%Z 
%@ 
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%)
%*
%L
%M
%1 
%2 dblp
%3 inproceedings
%4 
%# 
%$ 
%F conf/sigir/Voorhees94
%K retrieval, wsd, ir, information, semantic
%X 
%Z 
%U http://dblp.uni-trier.de/db/conf/sigir/sigir94.html#Voorhees94
%+
%^

%0 
%0 Book
%A van Rijsbergen, C. J.
%D 1979
%T Information retrieval
%E 
%B 
%C London
%I Butterworths
%V 
%6
%N 
%P
%& 
%Y 
%S 
%7 2
%8 
%9
%? 
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%)
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%2 
%3 book
%4 
%# 
%$ 
%F rijsbergen79information
%K lecture, retrieval, vorlesung, ir, information, intelligenz, standard, Information
%X 
%Z 
%U http://www.dcs.gla.ac.uk/Keith/Preface.html
%+
%^