MetaOn - Ontology driven metadata construction and management for intelligent search in text and image collections

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

Multimedia Annotation System for Intelligent Search*

In this paper we present an overview of the intelligent multimedia annotation and search system MetaOn. The core objective is to construct and integrate semantically rich metadata, extracted from documents and images, 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

Corrigendum to “Intestinal Preconditioning Ameliorates Ischemia-Reperfusion Induced Acute Lung Injury in Rats: An Experimental Study” [Journal of Surgical Research 160(2) (2010) 294–301](S002248040801576X)(10.1016/j.jss.2008.12.017)

The full name of the third author on the author list should be “Kostas Kostopanagiotou”, as we had incorrectly spelt as “Constantinos Costopanagiotou” in the published manuscripts.1,2 The correct author list for our above manuscript is “Efthimios D. Avgerinos, M.D., Ph.D., Georgia Kostopanagiotou, M.D., Ph.D., Kostas Kostopanagiotou, M.D., Nikolaos Kopanakis, M.D., Ioanna Andreadou, Ph.D., Marilena Lekka, Ph.D., George Nakos, M.D., Ph.D., and Vasilios Smyrniotis, M.D., Ph.D.” The authors would like to apologise for any inconvenience caused. © 2017 Elsevier Inc