Mitzlaff, F.; Benz, D.; Stumme, G. & Hotho, A.
(2010):
Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy.
In: Proceedings of the 21st ACM conference on Hypertext and hypermedia,
Toronto, Canada.
[BibTeX][Endnote]
@inproceedings{eisterlehner2010visit,
author = {Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas},
title = {Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy},
booktitle = {Proceedings of the 21st ACM conference on Hypertext and hypermedia},
address = {Toronto, Canada},
year = {2010},
keywords = {2010, analysis, bibsonomy, evidence, itegpub, l3s, links, myown, networks, semantic, sna, web}
}
%0 = inproceedings
%A = Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas
%B = Proceedings of the 21st ACM conference on Hypertext and hypermedia
%C = Toronto, Canada
%D = 2010
%T = Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy
Hoser, B.; Hotho, A.; Jäschke, R.; Schmitz, C. & Stumme, G.
(2006):
Semantic Network Analysis of Ontologies.
In: The Semantic Web: Research and Applications,
Heidelberg.
[Volltext]
[Kurzfassung] [BibTeX][Endnote]
A key argument for modeling knowledge in ontologies is the easy
-use and re-engineering of the knowledge. However, beside
nsistency checking, current ontology engineering tools provide
ly basic functionalities for analyzing ontologies. Since
tologies can be considered as (labeled, directed) graphs, graph
alysis techniques are a suitable answer for this need. Graph
alysis has been performed by sociologists for over 60 years, and
sulted in the vivid research area of Social Network Analysis
NA). While social network structures in general currently receive
gh attention in the Semantic Web community, there are only very
w SNA applications up to now, and virtually none for analyzing the
ructure of ontologies.
e illustrate in this paper the benefits of applying SNA to
tologies and the Semantic Web, and discuss which research topics
ise on the edge between the two areas. In particular, we discuss
w different notions of centrality describe the core content and
ructure of an ontology. From the rather simple notion of degree
ntrality over betweenness centrality to the more complex
genvector centrality based on Hermitian matrices, we illustrate
e insights these measures provide on two ontologies, which are
fferent in purpose, scope, and size.
@inproceedings{hoser2006semantic,
author = {Hoser, Bettina and Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
title = {Semantic Network Analysis of Ontologies},
editor = {Sure, York and Domingue, John},
booktitle = {The Semantic Web: Research and Applications},
series = {LNAI},
publisher = {Springer},
address = {Heidelberg},
year = {2006},
volume = {4011},
pages = {514-529},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hoser2006semantic.pdf},
keywords = {2006, l3s, myown, nepomuk, ontology, semantic, sna, socialnetworkanalysis, sota, web},
abstract = {A key argument for modeling knowledge in ontologies is the easy
-use and re-engineering of the knowledge. However, beside
nsistency checking, current ontology engineering tools provide
ly basic functionalities for analyzing ontologies. Since
tologies can be considered as (labeled, directed) graphs, graph
alysis techniques are a suitable answer for this need. Graph
alysis has been performed by sociologists for over 60 years, and
sulted in the vivid research area of Social Network Analysis
NA). While social network structures in general currently receive
gh attention in the Semantic Web community, there are only very
w SNA applications up to now, and virtually none for analyzing the
ructure of ontologies.
e illustrate in this paper the benefits of applying SNA to
tologies and the Semantic Web, and discuss which research topics
ise on the edge between the two areas. In particular, we discuss
w different notions of centrality describe the core content and
ructure of an ontology. From the rather simple notion of degree
ntrality over betweenness centrality to the more complex
genvector centrality based on Hermitian matrices, we illustrate
e insights these measures provide on two ontologies, which are
fferent in purpose, scope, and size.}
}
%0 = inproceedings
%A = Hoser, Bettina and Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd
%B = The Semantic Web: Research and Applications
%C = Heidelberg
%D = 2006
%I = Springer
%T = Semantic Network Analysis of Ontologies
%U = http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hoser2006semantic.pdf
(2005):
Proceedings of the First Workshop on Semantic Network Analysis . Aachen
[Volltext] [BibTeX]
[Endnote]
@proceedings{stumme05semanticnetworkanalysis,,
title = {Proceedings of the First Workshop on Semantic Network Analysis },
editor = {Stumme, Gerd and Hoser, Bettina and Schmitz, Christoph and Alani, Harith},
publisher = {CEUR Proceedings},
address = {Aachen},
year = {2005},
url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-171/},
issn = {1613-0073},
keywords = {2005, analysis, iswc, itegpub, l3s, myown, nepomuk, network, proceedings, semantic, semna, sna, workshop}
}
%0 = proceedings
%B = }
%C = Aachen
%D = 2005
%I = CEUR Proceedings
%T = Proceedings of the First Workshop on Semantic Network Analysis }
%U = http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-171/