@inproceedings{hoser06semanticnetworkanalysis,
	title = {Semantic Network Analysis of Ontologies},
	address = {Heidelberg},
	author = {Bettina Hoser and Andreas Hotho and Robert Jäschke and Christoph Schmitz and Gerd Stumme},
	booktitle = {The Semantic Web: Research and Applications: Proceedings of the 3rd European Semantic Web Conference (ESWC 2006), Budva, Montenegro, June 11-14, 2006},
	editor = {York Sure and John Domingue},
	pages = {514--529},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dx.doi.org/10.1007/11762256_38},
	volume = {4011/2006},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/295380b6cf4ef80f9311ebeb67d925b6f/sb3000},
	abstract = {A key argument for modeling knowledge in ontologies is the easy reuse and re-engineering of the knowledge. However, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA).While social network structures currently receive high attention in the Semantic Web community, there are only very few SNA applications, and virtually none for analyzing the structure of ontologies.
ER  -},
	keywords = {link-mining ontologies semweb social-networks }
}