@incollection{hotho2008social, title = {Social Bookmarking am Beispiel BibSonomy}, address = {Berlin, Heidelberg}, author = {Andreas Hotho and Robert Jäschke and Dominik Benz and Miranda Grahl and Beate Krause and Christoph Schmitz and Gerd Stumme}, booktitle = {Social Semantic Web}, chapter = 18, editor = {Andreas Blumauer and Tassilo Pellegrini}, pages = {363--391}, publisher = {Springer}, series = {X.media.press}, year = 2009, url = {http://dx.doi.org/10.1007/978-3-540-72216-8_18}, issn = {1439-3107}, isbn = {978-3-540-72215-1}, doi = {10.1007/978-3-540-72216-8}, description = {SpringerLink - Buchkapitel}, abstract = {BibSonomy ist ein kooperatives Verschlagwortungssystem (Social Bookmarking System), betrieben vom Fachgebiet Wissensverarbeitung der Universität Kassel. Es erlaubt das Speichern und Organisieren von Web-Lesezeichen und Metadaten für wissenschaftlichePublikationen. In diesem Beitrag beschreiben wir die von BibSonomy bereitgestellte Funktionalität, die dahinter stehende Architektursowie das zugrunde liegende Datenmodell. Ferner erläutern wir Anwendungsbeispiele und gehen auf Methoden zur Analyse der in BibSonomy und ähnlichen Systemen enthaltenen Daten ein.}, biburl = {http://www.bibsonomy.org/bibtex/25ccf05a86e7f1a089ae83dd47568e6de/jaeschke}, keywords = {2008 bookmarking social bibsonomy for:nepomuk myown l3s} } @inproceedings{1379123, title = {Logsonomy - social information retrieval with logdata}, address = {New York, NY, USA}, author = {Beate Krause and Robert Jäschke and Andreas Hotho and Gerd Stumme}, booktitle = {HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia}, pages = {157--166}, publisher = {ACM}, year = 2008, url = {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}, location = {Pittsburgh, PA, USA}, isbn = {978-1-59593-985-2}, doi = {http://doi.acm.org/10.1145/1379092.1379123}, description = {Logsonomy - social information ...}, biburl = {http://www.bibsonomy.org/bibtex/2c7f43f2f922de1e7febedd10347e80cb/beate}, keywords = {graph tagging myown folksonomy analysis logdata} } @inproceedings{cattuto08-semantic, title = {Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems}, address = {Patras, Greece}, author = {Ciro Cattuto and Dominik Benz and Andreas Hotho and Gerd Stumme}, booktitle = {Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3)}, month = {July}, year = 2008, url = {http://olp.dfki.de/olp3/}, isbn = {978-960-89282-6-8}, abstract = {Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system del.icio.us. To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept hierarchies.}, biburl = {http://www.bibsonomy.org/bibtex/23b0aca61b24e4343bd80390614e3066e/dbenz}, keywords = {2008 olp3 myown tagorapub tag_relatedness} } @inproceedings{1379123, title = {Logsonomy - social information retrieval with logdata}, address = {New York, NY, USA}, author = {Beate Krause and Robert Jäschke and Andreas Hotho and Gerd Stumme}, booktitle = {HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia}, pages = {157--166}, publisher = {ACM}, year = 2008, url = {http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Proceedings&title=HT&CFID=825963&CFTOKEN=78379687}, location = {Pittsburgh, PA, USA}, isbn = {978-1-59593-985-2}, doi = {http://doi.acm.org/10.1145/1379092.1379123}, description = {HT: HT '08, Logsonomy - social information ...}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/2c7f43f2f922de1e7febedd10347e80cb/hotho}, keywords = {2008 logsonomy web myown folksonomy 2.0} } @inproceedings{anti2008krause, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, author = {Beate Krause and Christoph Schmitz and Andreas Hotho and Gerd Stumme}, booktitle = {Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web}, year = 2008, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, biburl = {http://www.bibsonomy.org/bibtex/26357f535000a383f228f1e8e56ca86ca/hotho}, keywords = {2008 mining bookmarking social classification dm myown folksonomy spam ml} } @inbook{hotho2008bookmarking, title = {Social Bookmarking}, address = {München}, author = {Andreas Hotho}, booktitle = {Web 2.0 in der Unternehmenspraxis: Grundlagen, Fallstudien und Trends zum Einsatz von Social Software}, editor = {Andrea Back and Norbert Gronau and Klaus Tochtermann}, pages = {26-38}, publisher = {Oldenbourg Verlag}, year = 2008, url = {http://www.amazon.de/gp/redirect.html%3FASIN=3486585797%26tag=ws%26lcode=xm2%26cID=2025%26ccmID=165953%26location=/Web-2-0-Unternehmenspraxis-Grundlagen-Fallstudien/dp/3486585797%253FSubscriptionId=13CT5CVB80YFWJEPWS02}, ean = {9783486585797}, asin = {3486585797}, isbn = {9783486585797}, biburl = {http://www.bibsonomy.org/bibtex/2b54f6557893e3ab9d1eb83b0baeb136e/hotho}, keywords = {2008 bookmarking social myown folksonomy} } @inproceedings{jaeschke2006trias, title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices}, address = {Washington, DC, USA}, author = {Robert Jäschke and Andreas Hotho and Christoph Schmitz and Bernhard Ganter and Gerd Stumme}, booktitle = {ICDM '06: Proceedings of the Sixth International Conference on Data Mining}, pages = {907--911}, publisher = {IEEE Computer Society}, year = 2006, url = {http://portal.acm.org/citation.cfm?id=1193256}, isbn = {0-7695-2701-9}, doi = {http://dx.doi.org/10.1109/ICDM.2006.162}, description = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices}, abstract = {In this paper, we present the foundations for mining frequent tri-concepts, which extend the notion of closed itemsets to three-dimensional data to allow for mining folk-sonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution as well as experimental results on a large real-world example.}, biburl = {http://www.bibsonomy.org/bibtex/2797d40e05a48f4343d7695dac87b5870/jaeschke}, keywords = {2006 trias myown} } @inproceedings{krause2008logsonomy, title = {Logsonomy - Social Information Retrieval with Logdata}, address = {New York, NY, USA}, author = {Beate Krause and Robert Jäschke and Andreas Hotho and Gerd Stumme}, booktitle = {HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia}, pages = {157--166}, publisher = {ACM}, year = 2008, url = {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}, location = {Pittsburgh, PA, USA}, isbn = {978-1-59593-985-2}, doi = {http://doi.acm.org/10.1145/1379092.1379123}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/276d81124951ae39060a8bc98f4883435/jaeschke}, keywords = {2008 information engine myown retrieval analysis l3s network search social logsonomy for:nepomuk wp5} } @inproceedings{Jaeschke2008logsonomy, title = {Logsonomy — A Search Engine Folksonomy}, author = {Robert Jäschke and Beate Krause and Andreas Hotho and Gerd Stumme}, booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)}, publisher = {AAAI Press}, year = 2008, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf}, abstract = {In social bookmarking 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. Search engines filter the vast information of the web. Queries 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. The clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. This poster analyzes the topological characteristics of the resulting tripartite hypergraph of queries, users and bookmarks of two query logs and compares it two a snapshot of the folksonomy del.icio.us.}, biburl = {http://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/jaeschke}, keywords = {2008 search engine logsonomy for:nepomuk myown folksonomy l3s wp5} } @article{jaeschke2008discovering, title = {Discovering Shared Conceptualizations in Folksonomies}, author = {Robert Jäschke and Andreas Hotho and Christoph Schmitz and Bernhard Ganter and Gerd Stumme}, booktitle = {Semantic Web and Web 2.0}, journal = {Web Semantics: Science, Services and Agents on the World Wide Web}, month = {feb}, note = { }, number = 1, pages = {38--53}, volume = 6, year = 2008, url = {http://www.sciencedirect.com/science/article/B758F-4R53WD4-1/2/ae56bd6e7132074272ca2035be13781b}, description = {ScienceDirect - Web Semantics: Science, Services and Agents on the World Wide Web : Discovering shared conceptualizations in folksonomies}, abstract = {Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples.}, biburl = {http://www.bibsonomy.org/bibtex/263901930c137df0c2dad84075c564b14/hotho}, keywords = {2008 formal discovering concept tagging bibsonomy myown folksonomy analysis fca} } @article{voelker2008aeon, title = {AEON - An Approach to the Automatic Evaluation of Ontologies}, author = {Johanna Völker and Denny Vrandecic and York Sure and Andreas Hotho}, journal = {Journal of Applied Ontology}, note = {to appear}, year = 2008, url = {http://ontoware.org/projects/aeon/}, description = {Institut AIFB - Publikation: AEON - An Approach to the Automatic Evaluation of Ontologies}, biburl = {http://www.bibsonomy.org/bibtex/2ea55fe7088ef25cdf060d30d94a09e26/hotho}, keywords = {2008 automatic myown ontology ml sw evaluation} } @proceedings{semweb2007esoe, title = {Proceedings of the First International Workshop on Emergent Semantics and Ontology Evolution, ESOE 2007, co-located with ISWC 2007 + ASWC 2007, Busan, Korea, November 12th, 2007}, booktitle = {ESOE}, editor = {Liming Chen and Philippe Cudré-Mauroux and Peter Haase and Andreas Hotho and Ernie Ong}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, volume = 292, year = 2007, url = {http://dblp.uni-trier.de/db/conf/semweb/esoe2007.html}, date = {2008-06-02}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/26a076256fc0fbf774cd5e67addc13641/hotho}, keywords = {workshop 2007 semantics myown ontology} } @inproceedings{krause2008antisocial, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, author = {Beate Krause and Andreas Hotho and Gerd Stumme}, booktitle = {Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web}, year = 2008, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, biburl = {http://www.bibsonomy.org/bibtex/203d349d70b578ca9ac3155f661151868/stumme}, keywords = {2008 systems bookmarking myown web tagger 2.0 social web2.0 folksonomy folksonomies tagorapub spam} } @inproceedings{cattuto08-semantic, title = {Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems}, address = {Patras, Greece}, author = {Ciro Cattuto and Dominik Benz and Andreas Hotho and Gerd Stumme}, booktitle = {Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3)}, month = {July}, year = 2008, url = {http://olp.dfki.de/olp3/}, abstract = {Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system del.icio.us. To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept hierarchies.}, biburl = {http://www.bibsonomy.org/bibtex/23b0aca61b24e4343bd80390614e3066e/stumme}, keywords = {systems 2008 collaborative tagging web2.0 semantic web myown folksonomy folksonomies 2.0} } @proceedings{themenheft2007webmining, title = {Themenheft Web Mining}, editor = {Andreas Hotho and Gerd Stumme}, journal = {Künstliche Intelligenz}, number = 3, pages = {5-8}, year = 2007, url = {http://www.kuenstliche-intelligenz.de/index.php?id=7758}, biburl = {http://www.bibsonomy.org/bibtex/2e053389338dafde2946ec585bc35a48e/stumme}, keywords = {mining ki ir 2007 web myown ml introduction} } @article{themenheft2007webmining, title = {Mining the World Wide Web -- Methods, Ap- plications, and Perspectives}, author = {Andreas Hotho and Gerd Stumme}, journal = {Künstliche Intelligenz}, number = 3, pages = {5-8}, year = 2007, url = {http://www.kuenstliche-intelligenz.de/index.php?id=7758}, biburl = {http://www.bibsonomy.org/bibtex/2e9535ec82afa53f44a1b37704aa9a71f/stumme}, keywords = {mining ki ir 2007 web myown ml introduction} } @inproceedings{grahl07conceptualKdml, title = {Conceptual Clustering of Social Bookmark Sites}, author = {Miranda Grahl and Andreas Hotho and Gerd Stumme}, booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)}, editor = {Alexander Hinneburg}, month = {sep}, pages = {50-54}, publisher = {Martin-Luther-Universität Halle-Wittenberg}, year = 2007, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf}, isbn = {978-3-86010-907-6}, vgwort = {14}, biburl = {http://www.bibsonomy.org/bibtex/26d5188d66564fe4ed7386e28868504de/stumme}, keywords = {2007 bookmark bookmarking collaborative tagging myown Social social folksonomy folksonomies tagorapub conceptual clustering} } @inproceedings{jaeschke07organizing, title = {Organizing Publications and Bookmarks in BibSonomy}, address = {Banff, Canada}, author = {Robert Jäschke and Miranda Grahl and Andreas Hotho and Beate Krause and Christoph Schmitz and Gerd Stumme}, booktitle = {Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007}, editor = {Harith Alani and Natasha Noy and Gerd Stumme and Peter Mika and York Sure and Denny Vrandecic}, year = 2007, url = {http://www2007.org/workshops/paper_25.pdf}, biburl = {http://www.bibsonomy.org/bibtex/2b3a5e9851647ca0a7dfb62f041872504/beate}, keywords = {system bookmarking 2007 social myown folksonomy} } @inproceedings{Jaeschke2008logsonomy, title = {Logsonomy — A Search Engine Folksonomy}, author = {Robert Jäschke and Beate Krause and Andreas Hotho and Gerd Stumme}, booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)}, publisher = {AAAI Press}, year = 2008, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf}, abstract = {In social bookmarking 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. Search engines filter the vast information of the web. Queries 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. The clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. This poster analyzes the topological characteristics of the resulting tripartite hypergraph of queries, users and bookmarks of two query logs and compares it two a snapshot of the folksonomy del.icio.us.}, biburl = {http://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/beate}, keywords = {2008 search logsonomy myown folksonomy analysis} } @inproceedings{anti2008krause, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, author = {Beate Krause and Andreas Hotho and Gerd Stumme}, booktitle = {Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web}, year = 2008, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, biburl = {http://www.bibsonomy.org/bibtex/203d349d70b578ca9ac3155f661151868/beate}, keywords = {2008 myown folksonomy spam} }