We present a framework for media interpretation that leverages low-level information extraction to a higher level of abstraction in order to support semantics-based information retrieval for the Semantic Web. The overall goal of the framework is to provide high-level content descriptions of documents for maximizing precision and recall of semantics-based information retrieval.
@InProceedings{espinosaperaldi_et_al:DagSemProc.08091.16, author = {Espinosa Peraldi, S. and Kaya, A. and Melzer, S. and M\"{o}ller, Ralf and Wessel, M.}, title = {{Towards a Media Interpretation Framework for the Semantic Web}}, booktitle = {Logic and Probability for Scene Interpretation}, pages = {1--7}, series = {Dagstuhl Seminar Proceedings (DagSemProc)}, ISSN = {1862-4405}, year = {2008}, volume = {8091}, editor = {Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.16}, URN = {urn:nbn:de:0030-drops-16190}, doi = {10.4230/DagSemProc.08091.16}, annote = {Keywords: } }
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