Abstract
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.
BibTeX - Entry
@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/opus/volltexte/2008/1619},
URN = {urn:nbn:de:0030-drops-16190},
doi = {10.4230/DagSemProc.08091.16},
annote = {Keywords: }
}
Collection: |
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08091 - Logic and Probability for Scene Interpretation |
Issue Date: |
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2008 |
Date of publication: |
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23.10.2008 |