@incollection{schmitz2006kollaboratives, title = {Kollaboratives Wissensmanagement}, author = {Christoph Schmitz and Andreas Hotho and Robert Jäschke and Gerd Stumme}, booktitle = {Semantic Web - Wege zur vernetzten Wissensgesellschaft}, editor = {Tassilo Pellegrini and Andreas Blumauer}, pages = {273-290}, publisher = {Springer}, year = 2006, url = {http://www.semantic-web.at/springer/abstracts/3d_Schmitz_KollabWM.pdf}, isbn = {3-540-29324-8}, vgwort = {32}, abstract = {Wissensmanagement in zentralisierten Wissensbasen erfordert einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.}, biburl = {http://www.bibsonomy.org/bibtex/216c101a3e00d8930832b1e8c07b31d65/hotho}, keywords = {collaborative semantic management folksonomy 2006 myown web Wissensmanagement knowledge} } @inproceedings{conf/icml/RichardsonD03, title = {Learning with Knowledge from Multiple Experts.}, author = {Matt Richardson and Pedro Domingos}, booktitle = {ICML}, crossref = {conf/icml/2003}, editor = {Tom Fawcett and Nina Mishra}, pages = {624-631}, publisher = {AAAI Press}, year = 2003, url = {http://dblp.uni-trier.de/db/conf/icml/icml2003.html#RichardsonD03}, isbn = {1-57735-189-4}, date = {2003-09-22}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/227e697483b19368404dd73945676a1df/hotho}, keywords = {web srl knowledge semantic} } @misc{voss-2007, title = {Tagging, Folksonomy \& Co - Renaissance of Manual Indexing?}, author = {Jakob Voss}, year = 2007, url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0701072}, description = {[cs/0701072] Tagging, Folksonomy & Co - Renaissance of Manual Indexing?}, abstract = {This paper gives an overview of current trends in manual indexing on the Web. Along with a general rise of user generated content there are more and more tagging systems that allow users to annotate digital resources with tags (keywords) and share their annotations with other users. Tagging is frequently seen in contrast to traditional knowledge organization systems or as something completely new. This paper shows that tagging should better be seen as a popular form of manual indexing on the Web. Difference between controlled and free indexing blurs with sufficient feedback mechanisms. A revised typology of tagging systems is presented that includes different user roles and knowledge organization systems with hierarchical relationships and vocabulary control. A detailed bibliography of current research in collaborative tagging is included.}, biburl = {http://www.bibsonomy.org/bibtex/29ec98351dc630ea6b1f65046ba44a8dd/hotho}, keywords = {indexing semantic toread tagging organisation knowledge bibsonomy **** folksonomy survey km} } @inproceedings{citeulike:771813, title = {Onomi: Social Bookmarking on a Corporate Intranet}, author = {Laurie Damianos and John Griffith and Donna Cuomo and David Hirst and James Smallwood}, booktitle = {Collaborative Web Tagging Workshop at WWW2006, Edinburgh, Scotland}, month = {May}, year = 2006, url = {http://www.rawsugar.com/www2006/28.pdf}, id = {771813}, priority = {2}, abstract = {We describe a technology exploration of social bookmarking within a closed, corporate environment. We hypothesize that such a tool would be valuable for information sharing, information management, and social networking in our organization. In order to assess the value of social software, we have embarked upon a 6-month pilot, or trial period, where we are striving to reach critical mass through marketing strategies and targeting influential figures with large, social networks. Our goal is to demonstrate the utility of social bookmarking within our corporation and to explore some of the social influences and behavioral evolution.}, biburl = {http://www.bibsonomy.org/bibtex/24f7acbf38a2dcaaa411979a0994da26c/hotho}, keywords = {management folksonomy 2.0 enterprise web application knowledge} } @inproceedings{hotho-ijcaiws2001, title = {Ontology-based Text Clustering}, author = {Andreas Hotho and Alexander Maedche and Steffen Staab}, booktitle = {Proc. of the Workshop ``Text Learning: Beyond Supervision'' at IJCAI 2001. Seattle, WA, USA, August 6, 2001}, year = 2001, publihser = {Springer}, biburl = {http://www.bibsonomy.org/bibtex/215a8cfc9a49b70812a55c76e597db7a5/hotho}, keywords = {text background clustering myown 2001 SumSchool06 ontology knowledge} } @techreport{hothoetal2003, title = {Text Clustering Based on Background Knowledge}, author = {A. Hotho and S. Staab and G. Stumme}, institution = {Institute AIFB, Universität Karlsruhe}, note = {36 pages}, year = 2003, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/hotho_etal_techreport425.pdf}, file = {}, biburl = {http://www.bibsonomy.org/bibtex/2424a43b2ec8c865c1d66ca23440b1ac7/hotho}, keywords = {myown knowledge clustering 2003 SumSchool06 background text} } @book{books/mit/FayyadPSU96, title = {Advances in Knowledge Discovery and Data Mining.}, editor = {Usama M. Fayyad and Gregory Piatetsky-Shapiro and Padhraic Smyth and Ramasamy Uthurusamy}, publisher = {AAAI/MIT Press}, year = 1996, url = {http://www.amazon.com/gp/product/0262560976}, isbn = {0-262-56097-6}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/23553c3acc971c03813352c40afe7476a/hotho}, keywords = {knowledge 2006 lecture kdd data discovery definition mining dm} } @inproceedings{Chapman05b, title = {Mining the Semantic Web: Requirements for machine learning}, author = {Fabio Ciravegna and Sam Chapman}, booktitle = {Proceedings of the Dagstuhl Seminar in Machine Learning for the Semantic Web}, month = {February}, year = 2005, url = {http://www.smi.ucd.ie/Dagstuhl-MLSW/proceedings/ciravegna-chapman.pdf}, biburl = {http://www.bibsonomy.org/bibtex/2d7eb77d72f6e7a846fb084e39f30b317/hotho}, keywords = {machine learning population integration web acquisition semantic knowledge ontology} } @article{ieee_ssss, title = {Knowledge Processes and Ontologies}, author = {S. Staab and H.-P. Schnurr and R. Studer and Y. Sure}, journal = {IEEE Intelligent Systems, Special Issue on Knowledge Management}, month = {January/Febrary}, number = 1, volume = 16, year = 2001, address = {--Dordrecht--London}, biburl = {http://www.bibsonomy.org/bibtex/21d8c8225c0dbaa12b72cda85bf662165/hotho}, keywords = {knowledge process ontology} } @inproceedings{ehrig2002kaon, title = {{KAON} - Towards a large scale {S}emantic {W}eb}, address = {Aix-en-Provence %, France }, author = {Marc Ehrig and Siegfried Handschuh and Andreas Hotho and Alexander Maedche and Boris Motik and Daniel Oberle and Christoph Schmitz and Steffen Staab and Ljiljana Stojanovic and Nenad Stojanovic and Rudi Studer and Gerd Stumme and York Sure and Julien Tane and Raphael Volz and Valentin Zacharias}, booktitle = {Proc. E-Commerce and Web Technologies, Third International Conference, EC-Web 2002}, editor = {Kurt Bauknecht and A. Min Tjoa and Gerald Quirchmayr}, month = {September}, number = 2455, publisher = {Springer}, series = {LNCS}, year = 2002, biburl = {http://www.bibsonomy.org/bibtex/2f2a4d095a4d921d311a5f24d91789cdb/hotho}, keywords = {2002 knowledge kaon management myown} } @article{richter2005metadata, title = {The impact of metadata on the accuracy of automated patent classification}, author = { Richter and MacFarlane}, journal = {World Patent Information}, pages = {12-26}, volume = 27, year = 2005, url = {http://dx.doi.org/10.1016/j.wpi.2004.08.001}, abstract = {During the last decade, the advance of machine-learning tools and algorithms has resulted in tremendous progress in the automated classification of documents. However, many classifiers base their classification decisions solely on document text and ignore metadata (such as authors, publication date, and author affiliation). In this project, automated classifiers using the k-Nearest Neighbour algorithm were developed for the classification of patents into two different classification systems. Those using metadata (in this case inventor names, applicant names and International Patent Classification codes) were compared with those ignoring it. The use of metadata could significantly improve the classification of patents with one classification system, improving classification accuracy from 70.8% up to 75.4%, which was highly statistically significant. However, the results for the other classification system were inconclusive: while metadata could improve the quality of the classifier for some experiments (recall increased from 66.0% to 68.9%, which was a small but nonetheless significant improvement), experiments with different parameters showed that it could also lead to a deterioration of quality (recall dropping as low as 61.0%). The study shows that metadata can play an extremely useful role in the classification of patents. Nonetheless, it must not be used indiscriminately but only after careful evaluation of its usefulness.}, biburl = {http://www.bibsonomy.org/bibtex/241a8a74e8c815ee35129c5e14cff1754/hotho}, keywords = {text ir knowledge background classification} } @article{kmjournaldiligent, title = {The DILIGENT Knowledge Processes}, author = {Denny Vrandecic and H. Sofia Pinto and York Sure and Christoph Tempich}, journal = {Journal of Knowledge Management}, month = {OCT}, number = 5, pages = {85-96}, volume = 9, year = 2005, url = {http://www.aifb.uni-karlsruhe.de/WBS/ysu/publications/2005_kmjournal_diligent.pdf}, biburl = {http://www.bibsonomy.org/bibtex/2167b670252215232dc59829364e361a2/hotho}, keywords = {knowledge process swap ontology methodology} } @inproceedings{Buchanan01, title = {Informed Knowledge Discovery: Using Prior Knowledge in Discovery Programs}, address = {New York}, author = {B. Buchanan}, booktitle = {KDD 2000 -- Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, MA, August 20-23, 2000}, pages = 3, publisher = {ACM}, year = 2000, isbn = {3-540-43760-6}, biburl = {http://www.bibsonomy.org/bibtex/20059da2018c3343855c2fa45d4fac248/hotho}, keywords = {knowledge discovery kdd program} } @incollection{otk-book-methodology, title = {{O}n-{T}o-{K}nowledge Methodology}, author = {Y. Sure and R. Studer}, booktitle = {\cite{otk-book}}, chapter = 3, pages = {33-46}, year = 2002, isbn = {90-74821-43-X}, biburl = {http://www.bibsonomy.org/bibtex/2e2b3d77527965ed999998dc09fd2fc9e/hotho}, keywords = {knowledge methodology} } @inproceedings{halevymadhavan2003, title = {Corpus-Based Knowledge Representation}, author = {Alon Y. Halevy and Jayant Madhavan}, booktitle = {IJCAI-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003}, editor = {Georg Gottlob and Toby Walsh}, pages = {1567-1572}, publisher = {Morgan Kaufmann}, year = 2003, bibsource = {DBLP, http://dblp.uni-trier.de}, biburl = {http://www.bibsonomy.org/bibtex/275d3c0fdd9fdbbfebd93cfda1ee42d28/hotho}, keywords = {corpus based knowledge representation} } @techreport{Zaiane98, title = {From Resource Discovery to Knowledge Discovery on the Internet}, author = {Osmar R. Zaïane}, institution = {Simon Fraser University}, number = {TR 1998-13}, type = {Technical Report}, year = 1998, url = {citeseer.nj.nec.com/117999.html}, bibsource = {DBLP, http://dblp.uni-trier.de}, biburl = {http://www.bibsonomy.org/bibtex/2d1cea509405cb48d2fb6d4ce22e480e1/hotho}, keywords = {knowledge discovery internet resource} } @article{studer98knowledge, title = {Knowledge Engineering: Principles and Methods}, author = {R. Studer and V. R. Benjamins and D. Fensel}, journal = {Data Knowledge Engineering}, number = {1--2}, pages = {161--197}, volume = 25, year = 1998, url = {citeseer.nj.nec.com/article/studer98knowledge.html}, location = {Aix-en-Provence, France}, biburl = {http://www.bibsonomy.org/bibtex/27791cbc17c9e4a5fdefa2cbb2f78766b/hotho}, keywords = {principles methods knowledge engineering} } @article{Cravenetal00, title = {Learning to Construct Knowledge Bases from the World Wide Web}, author = {M. Craven and D. DiPasquo and D. Freitag and A. McCallum and T. Mitchell and K. Nigam and S. Slattery}, journal = {Artificial Intelligence}, number = {1-2}, pages = {69--113}, volume = 118, year = 2000, url = {citeseer.nj.nec.com/craven00learning.html}, biburl = {http://www.bibsonomy.org/bibtex/21846035a525d6d2b29535dac75ba8096/hotho}, keywords = {bases construct world knowledge learning wide web} } @article{Ga99, title = {Attribute Exploration with Background Knowledge}, author = {B. Ganter}, journal = {TCS}, number = 2, pages = {215--233}, volume = 217, year = 1999, url = {citeseer.nj.nec.com/ganter96attribute.html}, location = {Santa Barbara, CA}, biburl = {http://www.bibsonomy.org/bibtex/2d0afb5054ed9acbcd33e2b5e7fe1353c/hotho}, keywords = {exploration knowledge attribute background} }