Materialien

Literatur

Semantic Web und Linked Data

  • Christian Bizer and Tom Heath and Kingsley Idehen and Tim Berners-Lee. Linked data on the web. In Proceedings of the 17th International Conference on World Wide Web WWW, 1265-1266, ACM, 2008.
    http://www2008.org/papers/pdf/p1265-bizer.pdf
  • Michael Hausenblas: Exploiting Linked Data to Build Web Applications. In IEEE Internet Computing, 13(4): 68-73, 2009.
    http://www.computer.org/portal/web/csdl/doi/10.1109/MIC.2009.79
  • Sören Auer and Christian Bizer and Georgi Kobilarov and Jens Lehmann and Richard Cyganiak and Zachary Ives. DBpedia: A Nucleus for a Web of Open Data. The Semantic Web, 722-735, 2008.
    http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.69.5249&rep=rep1&type=pdf

Visual Analysis of Images

  • Semulders et al., "Content-based image retrieval at the end of the early years", IEEE Transactions of Pattern Analysis and Machine Intelligence, 2000, http://www.science.uva.nl/research/publications/2000/SmeuldersTPAMI2000/PAMI2000Smeulders.pdf
  • Cees G. M. Snoek and Marcel Worring, "Concept-Based Video Retrieval",  Foundations and Trends in Information Retrieval, Vol. 2, No. 4 (2008), 215–322, 2009, http://staff.science.uva.nl/~cgmsnoek/pub/snoek-concept-based-video-retrieval-fntir.pdf
  • Douze et al., "Evaluation of GIST descriptors for web-scale image search", Proc. ACM CIVR‘09, 2009, http://lear.inrialpes.fr/pubs/2009/DJSAS09/gist_evaluation.pdf
  • Lindstaedt et al., "Automatic image annotation using visual content and folksonomies", Multimedia Tools Appl (2009), http://link.springer.com/content/pdf/10.1007%2Fs11042-008-0247-7
  • Sawant, Li, Wang, "Automatic Image Semantic Interpretation using Social Action and Tagging Data", 2011, http://infolab.stanford.edu/~wangz/project/imsearch/review/MTA/neela.pdf
  • Li, Snoek, Worring, "Unsupervised Multi-Feature Tag Relevance Learning for Social Image Retrieval," in Proceedings of the ACM International Conference on Image and Video Retrieval, Xi’an, China, 2010, http://staff.science.uva.nl/~cgmsnoek/pub/li-multifeature-civr10.pdf

Keyword Extraction, Tag Clustering und Text Categorization

  • Radelaar et al., "Improving the Exploration of Tag Spaces Using Automated Tag Clustering", Proceedings of the 11th international conference on Web engineering (ICWE'11), Pages 274-288, Springer-Verlag Berlin, Heidelberg pdf
  • Cannas et al., "A Model for Term Selection in Text Categorization Problems", in Proceedings of 23rd International Workshop on Database and Expert Systems Applications, Vienna, Austria, 2012 pdf
  • Kriz et al., "Keyword Extraction Based on Implicit Feedback", In: Information Sciences and Technologies Bulletin of the ACM Slovakia, Special Section on Student Research in Informatics and Information Technologies, Vol. 4, No. 2 (2012) 43-46 pdf

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