@misc{kd09, author = {David, Klaus}, day = 28, howpublished = {interner BMBF/DLR Strategieworkshop}, interhash = {77d55cfa3bbfd41ab680009b93ea0749}, intrahash = {77794b5254490e9b44fc7d0e299fb11b}, month = {June}, title = {Neue Trends im Dienstebereich (Invited)}, year = 2009 } @inproceedings{af09, address = {Anchorage, Alaska, USA}, author = {Flach, Alexander and David, Klaus}, booktitle = {In proceedings IEEE VTC }, day = {20-23}, interhash = {86bb554aa8b839a6ae77010870007a18}, intrahash = {ea1cff9e8087f4668d1ed61c7d1dd260}, month = {September}, title = {A Physical Analysis of an Accident Scenario}, year = 2009 } @inproceedings{Kusber2009a, author = {Kusber, Rico and Brgulja, Nermin and David, Klaus}, booktitle = {Intelligent Interactive Assistance and Mobile Multimedia Computing}, interhash = {231d991a9ea79cb3e329b883cfa36ca9}, intrahash = {38b4dca8e80734525074296dbd98114b}, publisher = {Springer}, title = {Self-adaptation for Deployment Decision Making}, volume = 53, year = 2009 } @inproceedings{5359549, abstract = {In our living environments today, computer networks, computing devices, sensors and many other entities produce a large amount of data to be processed. This data comprise, for example, digital media content, news, computational resources like services, and much more. To be able to exploit this data, a (human or computer) user may utilize digital assistants. In this paper, we present such an assistant for deploying services and obtaining content data. We concentrate especially on how this assistant is able to adapt to changing situations, both, user-driven and in a self-adaptive manner. An experimental evaluation, based on real world digital video providers, demonstrates prerequisites, results, and potential of the various ways of adaptation within the presented approach.}, author = {Kusber, Rico and Brgulja, Nermin and David, Klaus}, booktitle = {Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:}, doi = {10.1109/ComputationWorld.2009.53}, interhash = {5a5389432a4d4c6f1fccfd6f71fdb4f3}, intrahash = {6ad965fe5484b82249a0834b5b5f6df5}, month = {Nov.}, pages = {27-32}, title = {Adaptability of a Deployment Decision Making System}, year = 2009 } @inproceedings{5360710, author = {Kusber, Rico and David, Klaus and Brgulja, Nermin}, booktitle = {GLOBECOM Workshops, 2009 IEEE}, doi = {10.1109/GLOCOMW.2009.5360710}, interhash = {0e1e7997eeb6b5ac38e3cc9a23cd9d74}, intrahash = {637e196df2369affa7ba7a8bcb551836}, month = {30 2009-Dec. 4}, pages = {1-6}, title = {Parameter Selection for Autonomic Deployment Decision Making}, year = 2009 } @inproceedings{brgulja2009, address = {Chengdu, China}, author = {Brgulja, Nermin and Kusber, Rico and David, Klaus and Baumgarten, Matthias}, booktitle = {2009 IEEE International Conference on Pervasive Intelligence and Computing (PICom 09)}, interhash = {82eb6fa956fbddb39c978c45e9fd53be}, intrahash = {f49f932732c43aa95644df1fa379efd5}, month = {December}, pages = {246-253}, title = {Measuring the Probability of Correctness of Contextual Information in Context Aware Systems}, year = 2009 } @inproceedings{benz2009managing, abstract = {In this demo we present BibSonomy, a social bookmark and publication sharing system.}, address = {New York, NY, USA}, author = {Benz, Dominik and Eisterlehner, Folke and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Stumme, Gerd}, booktitle = {HT '09: Proceedings of the 20th ACM Conference on Hypertext and Hypermedia}, doi = {10.1145/1557914.1557969}, editor = {Cattuto, Ciro and Ruffo, Giancarlo and Menczer, Filippo}, file = {benz2009managing.pdf:benz2009managing.pdf:PDF}, interhash = {aa341801cf9a31d963fccb8a331043dc}, intrahash = {99cafad8ce2afb5879c6c85c14cc5259}, isbn = {978-1-60558-486-7}, month = jun, pages = {323--324}, publisher = {ACM}, title = {Managing publications and bookmarks with BibSonomy}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009managing.pdf}, year = 2009 } @incollection{hotho2009social, abstract = {BibSonomy ist ein kooperatives Verschlagwortungssystem (Social Bookmarking System), betrieben vom Fachgebiet Wissensverarbeitungder Universit{\"a}t Kassel. Es erlaubt das Speichern und Organisieren von Web-Lesezeichen und Metadaten für wissenschaftlichePublikationen. In diesem Beitrag beschreiben wir die von BibSonomy bereitgestellte Funktionalit{\"a}t, 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.}, address = {Berlin, Heidelberg}, author = {Hotho, Andreas and Jäschke, Robert and Benz, Dominik and Grahl, Miranda and Krause, Beate and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Social Semantic Web}, chapter = 18, doi = {10.1007/978-3-540-72216-8}, editor = {Blumauer, Andreas and Pellegrini, Tassilo}, file = {hotho2009social.pdf:hotho2009social.pdf:PDF}, interhash = {79dbca4289cfe913aa7f7eb7e0dccea7}, intrahash = {5ccf05a86e7f1a089ae83dd47568e6de}, isbn = {978-3-540-72215-1}, issn = {1439-3107}, pages = {363--391}, publisher = {Springer}, series = {X.media.press}, title = {Social Bookmarking am Beispiel BibSonomy}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/hotho2009social.pdf}, year = 2009 } @inproceedings{benz2009characterizing, address = {Bled, Slovenia}, author = {Benz, Dominik and Krause, Beate and Kumar, G. Praveen and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009)}, file = {benz2009characterizing.pdf:benz2009characterizing.pdf:PDF}, groups = {public}, interhash = {de5e58b26200e44112d9791f39e7523d}, intrahash = {b697a98a7340585594455ee2e81d238a}, month = {September}, title = {Characterizing Semantic Relatedness of Search Query Terms}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009characterizing.pdf}, username = {dbenz}, year = 2009 } @inproceedings{markines2009evaluating, abstract = {Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focus on similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We ?nd that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable; per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity.}, author = {Markines, Benjamin and Cattuto, Ciro and Menczer, Filippo and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {18th International World Wide Web Conference}, file = {markines2009evaluating.pdf:markines2009evaluating.pdf:PDF}, groups = {public}, interhash = {a266558ad4d83d536a0be2ac94b6b7df}, intrahash = {d16e752a8295d5dad7e26b199d9f614f}, month = {April}, pages = {641--641}, title = {Evaluating Similarity Measures for Emergent Semantics of Social Tagging}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/markines2009evaluating.pdf}, username = {dbenz}, year = 2009 }