@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 = {social myown folksonomy 2008 bookmarking} } @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 = {bibsonomy fca formal discovering analysis 2008 tagging myown folksonomy concept} } @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 = {sw evaluation ml automatic myown 2008 ontology} } @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 = {semantics ontology workshop 2007 myown} } @article{cattuto2007network, title = {Network Properties of Folksonomies}, author = {Ciro Cattuto and Christoph Schmitz and Andrea Baldassarri and Vito D. P. Servedio and Vittorio Loreto and Andreas Hotho and Miranda Grahl and Gerd Stumme}, journal = {AI Communications}, number = 4, pages = {245 - 262}, volume = 20, year = 2007, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/aicomm_2007_folksonomy_clustering.pdf}, vgwort = {67}, biburl = {http://www.bibsonomy.org/bibtex/2f15cc7613101babb2c3ed1927e35213a/hotho}, keywords = {2007 kdubiq folksonomies sosbuch properties summerschool network myown} } @inproceedings{krause2008comparison, title = {A Comparison of Social Bookmarking with Traditional Search}, author = {Beate Krause and Andreas Hotho and Gerd Stumme}, booktitle = {Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008}, pages = {101-113}, publisher = {Springer}, volume = 4956, year = 2008, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/ecir2008krause.pdf}, abstract = {Social bookmarking systems allow users to store links to internet resources on a web page. As social bookmarking systems are growing in popularity, search algorithms have been developed that transfer the idea of link-based rankings in the Web to a social bookmarking system’s data structure. These rankings differ from traditional search engine rankings in that they incorporate the rating of users. In this study, we compare search in social bookmarking systems with traditionalWeb search. In the first part, we compare the user activity and behaviour in both kinds of systems, as well as the overlap of the underlying sets of URLs. In the second part,we compare graph-based and vector space rankings for social bookmarking systems with commercial search engine rankings. Our experiments are performed on data of the social bookmarking system Del.icio.us and on rankings and log data from Google, MSN, and AOL. We will show that part of the difference between the systems is due to different behaviour (e. g., the concatenation of multi-word lexems to single terms in Del.icio.us), and that real-world events may trigger similar behaviour in both kinds of systems. We will also show that a graph-based ranking approach on folksonomies yields results that are closer to the rankings of the commercial search engines than vector space retrieval, and that the correlation is high in particular for the domains that are well covered by the social bookmarking system.}, biburl = {http://www.bibsonomy.org/bibtex/2613f5c41ff759fc548c9085102d1c933/hotho}, keywords = {social search query bookmarking myown log 2008} } @misc{cattuto-2008, title = {Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems}, author = {Ciro Cattuto and Dominik Benz and Andreas Hotho and Gerd Stumme}, year = 2008, url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0805.2045}, description = {[0805.2045] Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems}, 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/278fd64c3db55e6387ebdeb6c40054542/hotho}, keywords = {tag ontology 2008 myown learning ol analysis semantic similarity} } @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/hotho}, keywords = {classification ml spam folksonomy myown dm mining bookmarking 2008 social} } @article{cimiano2005learning, title = {Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis}, author = {P. Cimiano and A. Hotho and S. Staab}, journal = {Journal of Artificial Intelligence Research (JAIR)}, pages = {305-339}, publisher = {AAAI Press}, volume = 24, year = 2005, url = {http://www.jair.org/media/1648/live-1648-2403-jair.pdf}, issn = {1076-9757}, vgwort = {54}, biburl = {http://www.bibsonomy.org/bibtex/22d7c9ea5484ee45ea8bf3520138d7477/hotho}, keywords = {learning fca SumSchool06 2005 ol text myown} } @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/hotho}, keywords = {logsonomy log folksonomy myown icwsm 2008 search query network analysis} } @article{bloehdorn2006learning, title = {Learning Ontologies to Improve Text Clustering and Classification}, author = {Stephan Bloehdorn and Philipp Cimiano and Andreas Hotho}, journal = {From Data and Information Analysis to Knowledge Engineering}, pages = {334--341}, year = 2006, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/2006-03-gfkl05-bloehdorn-etal-learning-ontologies.pdf}, doi = {http://dx.doi.org/10.1007/3-540-31314-1_40}, description = {SpringerLink - Book Chapter}, abstract = {Recent work has shown improvements in text clustering and classification tasks by integrating conceptual features extracted from ontologies. In this paper we present text mining experiments in the medical domain in which the ontological structures used are acquired automatically in an unsupervised learning process from the text corpus in question. We compare results obtained using the automatically learned ontologies with those obtained using manually engineered ones. Our results show that both types of ontologies improve results on text clustering and classification tasks, whereby the automatically acquired ontologies yield a improvement competitive with the manually engineered ones. ER -}, biburl = {http://www.bibsonomy.org/bibtex/2121bdc75ba2f61db089bac5f715a07ba/hotho}, keywords = {clustering classification text 2006 myown ol} } @article{hotho2007mining, title = {Mining the World Wide Web}, author = {Andreas Hotho and Gerd Stumme}, journal = {Künstliche Intelligenz}, number = 3, pages = {5-8}, year = 2007, url = {http://kobra.bibliothek.uni-kassel.de/bitstream/urn:nbn:de:hebis:34-2008021320337/3/HothoStummeMiningWWW.pdf}, vgwort = {20}, biburl = {http://www.bibsonomy.org/bibtex/292d3a5fdd786086fa12787e3e350b6af/hotho}, keywords = {myown introduction mining 2007 ir ki web ml} } @inproceedings{grahl2007clustering, title = {Conceptual Clustering of Social Bookmarking Sites}, address = {Graz, Austria}, author = {Miranda Grahl and Andreas Hotho and Gerd Stumme}, booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)}, month = {SEP}, pages = {356-364}, publisher = {Know-Center}, year = 2007, issn = {0948-695x}, vgwort = {14}, abstract = {Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.}, biburl = {http://www.bibsonomy.org/bibtex/2334d3ab11400c4a3ea3ed5b1e95c1855/hotho}, keywords = {bookmarking social tagging sosbuch kdubiq clustering myown folksonomy 2007 summerschool conceptual} } @inproceedings{Benz07OL, title = {Position Paper: Ontology Learning from Folksonomies.}, author = {Dominik Benz and Andreas Hotho}, booktitle = {LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings (LWA)}, crossref = {conf/lwa/2007}, editor = {Alexander Hinneburg}, pages = {109-112}, publisher = {Martin-Luther-University Halle-Wittenberg}, year = 2007, url = {http://dblp.uni-trier.de/db/conf/lwa/lwa2007.html#BenzH07}, isbn = {978-3-86010-907-6}, vgwort = {16}, date = {2007-11-16}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/2ad31989b2393f5d0c4e8be8dbb613141/hotho}, keywords = {summerschool myown learning kdubiq 2007 folksonomy ontology} } @inproceedings{jaeschke07tagKdml, title = {Tag Recommendations in Folksonomies}, author = {Robert Jäschke and Leandro Marinho and Andreas Hotho and Lars Schmidt-Thieme and Gerd Stumme}, booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)}, editor = {Alexander Hinneburg}, month = {sep}, pages = {13-20}, 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 = {20}, biburl = {http://www.bibsonomy.org/bibtex/2bfc43dfe59f9c0935ac3364b12e6d795/hotho}, keywords = {recommender collaborative folksonomy 2007 social myown bookmarking filtering} } @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/hotho}, keywords = {folksonomy collaborative social clustering 2007 myown bookmarking} } @inproceedings{jaschke07recommender, title = {Tag Recommendations in Folksonomies}, author = {Robert Jäschke and Leandro Balby Marinho and Andreas Hotho and Lars Schmidt-Thieme and Gerd Stumme}, booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings}, editor = {Joost N. Kok and Jacek Koronacki and Ramon López de Mántaras and Stan Matwin and Dunja Mladenic and Andrzej Skowron}, pages = {506-514}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = 4702, year = 2007, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/Tag_Recommender_in_Folksonomies_final.pdf}, ee = {http://dx.doi.org/10.1007/978-3-540-74976-9_52}, bibsource = {DBLP, http://dblp.uni-trier.de}, isbn = {978-3-540-74975-2}, vgwort = {20}, description = {DBLP Record 'conf/pkdd/JaschkeMHSS07'}, biburl = {http://www.bibsonomy.org/bibtex/2b8b87c78e9e27a44aacde0402c642bff/hotho}, keywords = {kdubiq myown social pagerank 2007 sosbuch summerschool recommender folksonomy tagging} } @inproceedings{voelker1:07:eswc, title = {{Learning Disjointness}}, author = {Johanna Völker and Denny Vrandecic and York Sure and Andreas Hotho}, booktitle = {Proceedings of the European Semantic Web Conference, ESWC2007}, editor = {Enrico Franconi and Michael Kifer and Wolfgang May}, month = {July}, publisher = {Springer-Verlag}, series = {Lecture Notes in Computer Science}, volume = 4519, year = 2007, url = {http://www.eswc2007.org/pdf/eswc07-voelker1.pdf}, vgwort = {26}, biburl = {http://www.bibsonomy.org/bibtex/2c5c43ae4a719e6e935a9ca1a4aca906b/hotho}, keywords = {ontology myown ol 2007 eswc learning} } @inproceedings{jaeschke2007analysis, title = {Analysis of the Publication Sharing Behaviour in {BibSonomy}}, address = {Sheffield, England}, author = {Robert Jäschke and Andreas Hotho and Christoph Schmitz and Gerd Stumme}, booktitle = {Proceedings of the 15th International Conference on Conceptual Structures}, month = {July}, series = {LNCS}, volume = 4604, year = 2007, vgwort = {22}, abstract = {BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.}, biburl = {http://www.bibsonomy.org/bibtex/289f661a20f44fae705ceccd3619cbced/hotho}, keywords = {myown trias fca bibsonomy 2007 iccs} } @book{Berendt2007, title = {From Web to Social Web: Discovering and Deploying User and Content Profiles }, editor = {B. Berendt and A. Hotho and D. Mladenic and G. Semeraro}, publisher = {Springer}, series = {LNCS}, volume = 4736, year = 2007, url = {http://www.springer.com/dal/home?SGWID=1-102-22-173759307-0&changeHeader=true&referer=www.springeronline.com&SHORTCUT=www.springer.com/978-3-540-74950-9}, location = {Berlin, Germany}, isbn = {978-3-540-74950-9}, vgwort = {279}, date = {September 18, 2006 Series:}, description = {From Web to Social Web: Discovering and Deploying User and Cont... - Data Mi...Journals, Books & Online Media | Springer}, abstract = {This book constitutes the refereed proceedings of the Workshop on Web Mining, WebMine 2006, held in Berlin, Germany, September 18th, 2006. Topics included are data mining based on analysis of bloggers and tagging, web mining, XML mining and further techniques of knowledge discovery. The book is especially valuable for those interested in the aspects of the Social Web (Web 2.0) and its inherent dynamic and diversity of user-generated content.}, biburl = {http://www.bibsonomy.org/bibtex/28aa8d9bcbb5a5bb3fc480d1e53b27236/hotho}, keywords = {dm tm 2007 mining data web social myown} }