PUMA publications for /user/stumme/semantic%20myown%20fcahttps://puma.uni-kassel.de/user/stumme/semantic%20myown%20fcaPUMA RSS feed for /user/stumme/semantic%20myown%20fca2024-03-19T14:48:37+01:00Semantic resource management for the web: an e-learning applicationhttps://puma.uni-kassel.de/bibtex/210efb9940c6f2881cd6c84b6c52bebd8/stummestumme2010-04-07T13:54:41+02:002004 application courseware crawler e-learning eLearning edutella fca itegpub l3s learning myown p2p semantic watchdog web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Julien Tane" itemprop="url" href="/author/Julien%20Tane"><span itemprop="name">J. Tane</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. 13th International World Wide Web Conference (WWW 2004)</span>, </em></span><em>Seite <span itemprop="pagination">1-10</span>. </em>(<em><span>2004<meta content="2004" itemprop="datePublished"/></span></em>)Wed Apr 07 13:54:41 CEST 2010Proc. 13th International World Wide Web Conference (WWW 2004)1-10Semantic resource management for the web: an e-learning application20042004 application courseware crawler e-learning eLearning edutella fca itegpub l3s learning myown p2p semantic watchdog web Publications of Gerd StummeText Clustering Based on Background Knowledgehttps://puma.uni-kassel.de/bibtex/261d58db419af0dbc3681432588219c3d/stummestumme2010-04-07T13:54:41+02:002003 analysis background clustering concept fca formal knowledge myown ontologies semantic text web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steffen Staab" itemprop="url" href="/author/Steffen%20Staab"><span itemprop="name">S. Staab</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><em><span itemprop="educationalUse">Technical Report</span>, </em><em>Volume 425. </em><em><span itemprop="producer">University of Karlsruhe, Institute AIFB</span>, </em>(<em><span>2003<meta content="2003" itemprop="datePublished"/></span></em>)Wed Apr 07 13:54:41 CEST 2010Text Clustering Based on Background KnowledgeTechnical Report 42520032003 analysis background clustering concept fca formal knowledge myown ontologies semantic text web Text document clustering plays an important role in providing intuitive
navigation and browsing mechanisms by organizing large amounts of information
into a small number of meaningful clusters. Standard partitional or agglomerative
clustering methods efficiently compute results to this end.
However, the bag of words representation used for these clustering methods is often
unsatisfactory as it ignores relationships between important terms that do not
co-occur literally. Also, it is mostly left to the user to find out why a particular partitioning
has been achieved, because it is only specified extensionally. In order to
deal with the two problems, we integrate background knowledge into the process of
clustering text documents.
First, we preprocess the texts, enriching their representations by background knowledge
provided in a core ontology — in our application Wordnet. Then, we cluster
the documents by a partitional algorithm. Our experimental evaluation on Reuters
newsfeeds compares clustering results with pre-categorizations of news. In the experiments,
improvements of results by background knowledge compared to the baseline
can be shown for many interesting tasks.
Second, the clustering partitions the large number of documents to a relatively small
number of clusters, which may then be analyzed by conceptual clustering. In our approach,
we applied Formal Concept Analysis. Conceptual clustering techniques are
known to be too slow for directly clustering several hundreds of documents, but they
give an intensional account of cluster results. They allow for a concise description
of commonalities and distinctions of different clusters. With background knowledge
they even find abstractions like “food” (vs. specializations like “beef” or “corn”).
Thus, in our approach, partitional clustering reduces first the size of the problem
such that it becomes tractable for conceptual clustering, which then facilitates the
understanding of the results.Publications of Gerd StummeUsing Ontologies and Formal Concept Analysis for Organizing Business Knowledgehttps://puma.uni-kassel.de/bibtex/28cd4f719765abd1c46d28f200327d935/stummestumme2010-04-07T13:54:41+02:002002 analysis business concept fca formal knowledge management myown ontologies semantic web wissensmanagement <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Stumme" itemprop="url" href="/author/G.%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Wissensmanagement mit Referenzmodellen -- Konzepte für die Anwendungssystem- und Organisationsgestaltung</span>, </em><em><span itemprop="publisher">Physica</span>, </em><em>Heidelberg, </em></span>(<em><span>2002<meta content="2002" itemprop="datePublished"/></span></em>)Wed Apr 07 13:54:41 CEST 2010HeidelbergWissensmanagement mit Referenzmodellen -- Konzepte für die Anwendungssystem- und Organisationsgestaltung163-174Using Ontologies and Formal Concept Analysis for Organizing Business Knowledge20022002 analysis business concept fca formal knowledge management myown ontologies semantic web wissensmanagement Publications of Gerd StummeMining Association Rules in Folksonomieshttps://puma.uni-kassel.de/bibtex/211b2a59a568d246d7f36cb68169a464a/stummestumme2010-04-07T13:54:41+02:002006 analysis fca folksonomies folksonomy l3s myown nepomuk network semantic <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Data Science and Classification. Proceedings of the 10th IFCS Conf.</span>, </em></span><em>Seite <span itemprop="pagination">261--270</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>Juli 2006<meta content="Juli 2006" itemprop="datePublished"/></span></em>)Wed Apr 07 13:54:41 CEST 2010HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 analysis fca folksonomies folksonomy l3s myown nepomuk network semantic Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. These systems provide currently relatively few
structure. We discuss in this paper, how association rule mining
can be adopted to analyze and structure folksonomies, and how the results can be used
for ontology learning and supporting emergent semantics. We
demonstrate our approach on a large scale dataset stemming from an
online system.Publications of Gerd StummeFCA-Merge: Bottom-Up Merging of Ontologies.https://puma.uni-kassel.de/bibtex/2cd6d6c64f79d13d7cf394d3a6b3858ba/stummestumme2010-04-07T13:54:41+02:002001 analysis concept fca formal merging myown ontologies ontology semantic web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Stumme" itemprop="url" href="/author/G.%20Stumme"><span itemprop="name">G. Stumme</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. Maedche" itemprop="url" href="/author/A.%20Maedche"><span itemprop="name">A. Maedche</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. 17th Intl. Conf. on Artificial Intelligence (IJCAI '01)</span>, </em></span><em>Seite <span itemprop="pagination">225-230</span>. </em><em>Seattle, WA, USA, </em>(<em><span>2001<meta content="2001" itemprop="datePublished"/></span></em>)Wed Apr 07 13:54:41 CEST 2010Seattle, WA, USAProc. 17th Intl. Conf. on Artificial Intelligence (IJCAI '01)225-230{FCA}-{M}erge: Bottom-Up Merging of Ontologies.20012001 analysis concept fca formal merging myown ontologies ontology semantic web Publications of Gerd StummeTowards an Order-Theoretical Foundation for Maintaining and Merging Ontologieshttps://puma.uni-kassel.de/bibtex/283cc12ae3979a3e4108e5442b7da0b4f/stummestumme2010-04-07T13:54:41+02:002000 analysis concept fca formal merging myown ontologies ontology semantic web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Stumme" itemprop="url" href="/author/G.%20Stumme"><span itemprop="name">G. Stumme</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="R. Studer" itemprop="url" href="/author/R.%20Studer"><span itemprop="name">R. Studer</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Y. Sure" itemprop="url" href="/author/Y.%20Sure"><span itemprop="name">Y. Sure</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Verbundtagung Wirtschaftsinformatik 2000</span>, </em></span><em>Seite <span itemprop="pagination">136-149</span>. </em><em>Aachen, </em><em><span itemprop="publisher">Shaker</span>, </em>(<em><span>2000<meta content="2000" itemprop="datePublished"/></span></em>)Wed Apr 07 13:54:41 CEST 2010AachenVerbundtagung Wirtschaftsinformatik 2000136-149Towards an Order-Theoretical Foundation for Maintaining and Merging Ontologies20002000 analysis concept fca formal merging myown ontologies ontology semantic web Publications of Gerd StummeExplaining Text Clustering Results using Semantic Structureshttps://puma.uni-kassel.de/bibtex/253a943b6be4b34cf4e5329d0b58e99f6/stummestumme2010-04-07T13:54:41+02:002003 analysis clustering concept fca formal myown ontologies semantic semantics text <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steffen Staab" itemprop="url" href="/author/Steffen%20Staab"><span itemprop="name">S. Staab</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases</span>, </em></span><em>Volume 2838 von LNAI, </em><em>Seite <span itemprop="pagination">217-228</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>2003<meta content="2003" itemprop="datePublished"/></span></em>)Wed Apr 07 13:54:41 CEST 2010HeidelbergKnowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases217-228LNAIExplaining Text Clustering Results using Semantic Structures283820032003 analysis clustering concept fca formal myown ontologies semantic semantics text Common text clustering techniques offer rather poor capabilities
for explaining to their users why a particular result has been
achieved. They have the disadvantage that they do not relate
semantically nearby terms and that they cannot explain how
resulting clusters are related to each other.
In this paper, we discuss a way of integrating a large thesaurus
and the computation of lattices of resulting clusters into common text clustering
in order to overcome these two problems.
As its major result, our approach achieves an explanation using an
appropriate level of granularity at the concept level as well as
an appropriate size and complexity of the explaining lattice of
resulting clusters.Publications of Gerd StummeAccessing Distributed Learning Repositories through a Courseware
Watchdoghttps://puma.uni-kassel.de/bibtex/2d366e42880a2d2991cbfa6abc53b8fe4/stummestumme2010-04-07T13:54:41+02:002002 FCA OntologyHandbook courseware crawler edutella fca myown ontologies p2p semantic watchdog web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Schmitz" itemprop="url" href="/author/C.%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Staab" itemprop="url" href="/author/S.%20Staab"><span itemprop="name">S. Staab</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="R. Studer" itemprop="url" href="/author/R.%20Studer"><span itemprop="name">R. Studer</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Stumme" itemprop="url" href="/author/G.%20Stumme"><span itemprop="name">G. Stumme</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="J. Tane" itemprop="url" href="/author/J.%20Tane"><span itemprop="name">J. Tane</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. of E-Learning 2002 World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education on (E-Learning 2002)</span>, </em></span><em> AACE, </em><em>Seite <span itemprop="pagination">909-915</span>. </em><em>Norfolk, </em>(<em><span>2002<meta content="2002" itemprop="datePublished"/></span></em>)<em>Awarded paper.</em>Wed Apr 07 13:54:41 CEST 2010NorfolkProc. of E-Learning 2002 World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education on (E-Learning 2002){A}warded paper909-915Accessing Distributed Learning Repositories through a Courseware
WatchdogAACE20022002 FCA OntologyHandbook courseware crawler edutella fca myown ontologies p2p semantic watchdog web Publications of Gerd Stumme