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17th International Conference on Database and Expert Systems Applications (DEXA'06)
MetaOn - Ontology Driven Metadata Construction and Management for Intelligent Search in Text and Image Collections
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
Haralampos Karanikas, National & Kapodistrian Univ. of Athens, Greece
Nikos Pelekis, University of Piraeus, Greece
Dimitris K. Iakovidis, National & Kapodistrian Univ. of Athens, Greece
Ioannis Kopanakis, National & Kapodistrian Univ. of Athens, Greece
Thomas Mavroudakis, National & Kapodistrian Univ. of Athens, Greece
Yannis Theodoridis, University of Piraeus, Greece
State of the art in multimedia technology focuses in managing data collected from various sources, including documents, images, video, and speech. Therefore the effective management, analysis and mining of such heterogeneous data requires the combination of various techniques. In this paper we present an overview of the recently funded MetaOn project. The core objective of MetaOn is to construct and integrate semantically rich metadata collections extracted from documents images and linguistic resources, to facilitate intelligent search and analysis. The proposed MetaOn framework involves, ontology-based information extraction and data mining, semi-automatic construction of domain specific ontologies, content-based image indexing and retrieval, and metadata management. The Hellenic history has been chosen as a challenging application case study.
Citation:
Haralampos Karanikas, Nikos Pelekis, Dimitris K. Iakovidis, Ioannis Kopanakis, Thomas Mavroudakis, Yannis Theodoridis, "MetaOn - Ontology Driven Metadata Construction and Management for Intelligent Search in Text and Image Collections," dexa, pp.450-454, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
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