@inproceedings{basu98recommendation, title = {Recommendation as Classification: Using Social and Content-Based Information in Recommendation}, author = {Chumki Basu and Haym Hirsh and William W. Cohen}, booktitle = {{AAAI}/{IAAI}}, note = {hallo miranda-note!}, pages = {714-720}, year = 1998, url = {citeseer.ist.psu.edu/basu98recommendation.html}, description = {Recommendation as Classification: Using Social and Content-Based Information in Recommendation - Basu, Hirsh, Cohen (ResearchIndex)}, biburl = {http://www.bibsonomy.org/bibtex/213f025ad211549dea762719728b19997/dbenz_test}, keywords = {toread} } @inproceedings{Ankolekar_20007, title = {The two cultures: mashing up web 2.0 and the semantic web}, address = {New York, NY, USA}, author = {Anupriya Ankolekar and Markus Krötzsch and Thanh Tran and Denny Vrandecic}, booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web}, pages = {825--834}, publisher = {ACM Press}, year = 2007, url = {http://portal.acm.org/citation.cfm?id=1242684&coll=GUIDE&dl=ACM&CFID=21633871&CFTOKEN=81037701}, location = {Banff, Alberta, Canada}, isbn = {978-1-59593-654-7}, doi = {http://doi.acm.org/10.1145/1242572.1242684}, description = {The two cultures}, biburl = {http://www.bibsonomy.org/bibtex/26b493ae653fcff556997f30273d766b9/dbenz_test}, keywords = {mashup semantic_web toget toread web2.0} } @inproceedings{BraunSchmidtZacharias07, title = {SOBOLEO: vom kollaborativen Tagging zur leichtgewichtigen Ontologie}, address = {München}, author = {Simone Braun and Andreas Schmidt and Valentin Zacharias}, booktitle = {Mensch \& Computer - 7. Fachübergreifende Konferenz - M\&C 2007}, editor = {Tom Gross}, pages = {209-218}, publisher = {Oldenbourg Verlag}, year = 2007, url = {http://publications.andreas.schmidt.name/Braun_Schmidt_Zacharias_SOBOLEO_MuC2007.pdf}, timestamp = {2007.09.06}, isbn = {978-3-486-58496-7}, owner = {aschmidt}, abstract = {Bisher gibt es kein integriertes Werkzeug, das sowohl die kollaborative Erstellung eines Indexes relevanter Internetressourcen („Social Bookmarking“) als auch einer gemeinsamen Ontologie, die zur Organisation des Indexes genutzt wird, integriert unterstützt. Derzeitige Werkzeuge gestatten entweder die Erstellung einer Ontologie oder die Strukturierung von Ressourcen entsprechend einer vorgegebenen, unveränderlichen Ontologie bzw. ganz ohne jegliche Struktur. In dieser Arbeit zeigen wir, wiesich kollaboratives Tagging und kollaborative Ontologieentwicklung vereinen lassen, so dass jeweiligeSchwächen vermieden werden und die Stärken einander ergänzen. Wir präsentieren SOBOLEO, ein System, das kollaborativ und web-basiert die Erstellung, Erweiterung und Pflege von Ontologien und gemeinsamer Lesezeichensammlung ermöglicht und gleichzeitig die Annotierung von Internetressourcen mit Konzepten aus der erstellten Ontologie unterstützt.}, biburl = {http://www.bibsonomy.org/bibtex/25712e57b4fbdd5e837e860f61744ac62/dbenz_test}, keywords = {toread} } @inproceedings{BraunSchmidtWalterZachariasESOE07, title = {The Ontology Maturing Approach to Collaborative and Work-Integrated Ontology Development: Evaluation Results and Future Directions}, author = {Simone Braun and Andreas Schmidt and Andreas Walter and Valentin Zacharias}, booktitle = {IInternational Workshop on Emergent Semantics and Ontology Evolution (ESOE), 6th International Semantic Web Conference (ISWC 2007)}, year = 2007, location = {Busan, Korea}, date = {November 10-15 2007}, abstract = {Ontology maturing as a conceptual process model is based on the assumption that ontology engineering is a continuous collaborative and informal learning process and always embedded in tasks that make use of the ontology to be developed. For supporting ontology maturing, we need lightweight and easy-to-use tools integrating usage and construction processes of ontologies. Within two applications – ImageNotion for semantic annotation of images and SOBOLEO for semantically enriched social bookmarking – we have shown that such ontology maturing support is feasible with the help of Web 2.0 technologies.In this paper, we want to present the conclusions from two evaluation sessions with end users and summarize requirements for further development.}, biburl = {http://www.bibsonomy.org/bibtex/2e618c6fd8ec3f0f7173a51d00c0a7e69/dbenz_test}, keywords = {ontology_maturing toread} } @inbook{Specia2007, title = {Integrating Folksonomies with the Semantic Web}, author = {Lucia Specia and Enrico Motta}, pages = {624-639}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, volume = {4519/2007}, year = 2007, abstract = {While tags in collaborative tagging systems serve primarily an indexing purpose, facilitating search and navigation of resources, the use of the same tags by more than one individual can yield a collective classification schema. We present an approach for making explicit the semantics behind the tag space in social tagging systems, so that this collaborative organization can emerge in the form of groups of concepts and partial ontologies. This is achieved by using a combination of shallow pre-processing strategies and statistical techniques together with knowledge provided by ontologies available on the semantic web. Preliminary results on the del.icio.us and Flickr tag sets show that the approach is very promising: it generates clusters with highly related tags corresponding to concepts in ontologies and meaningful relationships among subsets of these tags can be identified.}, biburl = {http://www.bibsonomy.org/bibtex/28800fc1a639aeb43fd55598d2410e2e1/dbenz_test}, keywords = {toread} } @techreport{Vojnovic, title = {Ranking and Suggesting Tags in Collaborative Tagging Applications}, author = {M. Vojnovic and J. Cruise and D. Gunawardena and P. Marbach}, howpublished = {MSR-TR-2007-06}, year = 2007, url = {http://research.microsoft.com/~milanv/tagbooster.aspx}, date = {Feb 2007}, tech = {TR-2007-06}, description = {Tag Booster}, biburl = {http://www.bibsonomy.org/bibtex/21af9877eebe38cdedc6578967ae76d8a/dbenz_test}, keywords = {toread} } @article{keyhere, title = {Exploring The Value Of Folksonomies For Creating Semantic Metadata}, author = {Hend S. Al-Khalifa and Hugh C. Davis}, year = 2007, url = {http://eprints.ecs.soton.ac.uk/13555/}, asin = {}, typesource = {Simple CitationSource}, pubmed = {}, doi = {}, description = {ECS EPrints Service - Exploring The Value Of Folksonomies For Creating Semantic Metadata}, biburl = {http://www.bibsonomy.org/bibtex/2c058fbfdcb787b442c8515bc9a87b8f6/dbenz_test}, keywords = {comparison folksonomy metadata toread} } @misc{voss_2003, title = {Begriffssysteme}, author = {Jakob Voß and Hans \"Osterle}, year = 2003, url = {http://www.jakobvoss.de/epub/begriffssysteme03/begriffssysteme.pdf}, description = {Studienarbeit}, abstract = {Begriffssysteme tauchen als Thesauri, Klassifikationen, Nachschlagewerke,Begriffsnetze, Ontologien etc. in verschiedenen Fachwissenschaften zur Ordnung undRepräsentation von Wissen auf. Diese Arbeit gibt einen Überblick über die verschiedenen Artenvon Begriffssystemen und ihre Bestandteile. Dies sind im wesentlichen Begriffe, Bezeichnungenund Relationen. Die häufigsten Bestandteile und ihre Anwendungsfälle werden erklärt, darunter dieTerminologische Kontrolle, Begriffskombination, Notationen, die wichtigsten Relationsarten undRegeln sowie natürlich sprachliche Anteile. Es werden verschiedene Datenformate fürBegriffssysteme vorgestellt. Die gemeinsamen Strukturen und Bestandteile verschiedenerBegriffssysteme werden in dem gemeinsamen Datenmodell „Thema“ zusammengefasst, das anhandeiner XML-Repräsentation des Modells erläutert wird.}, biburl = {http://www.bibsonomy.org/bibtex/25e435837b927c84585bd98a76f751669/dbenz_test}, keywords = {toread} }