2009
DOI: 10.1134/s1054661809020023
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An ontological framework for media analysis and mining

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Cited by 10 publications
(5 citation statements)
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“…• Biobank management: users can upload studies and related images, as well as anonymised patient and diagnostic data, into the biobank. The VRE will implement a framework envisioned by many in the domain [36,37], enabling scientific research communities to mine the rich content of multimedia health data and to carry out various types of proofs and validation of imaging biomarkers in a controlled and collaboration-based pipeline environment. Following openscience principles, NAVIGATOR will sustain cooperative research to ensure reproducibility and verifiability of biomarker models, thus fostering standardisation while reducing variability.…”
Section: The Navigator Vrementioning
confidence: 99%
“…• Biobank management: users can upload studies and related images, as well as anonymised patient and diagnostic data, into the biobank. The VRE will implement a framework envisioned by many in the domain [36,37], enabling scientific research communities to mine the rich content of multimedia health data and to carry out various types of proofs and validation of imaging biomarkers in a controlled and collaboration-based pipeline environment. Following openscience principles, NAVIGATOR will sustain cooperative research to ensure reproducibility and verifiability of biomarker models, thus fostering standardisation while reducing variability.…”
Section: The Navigator Vrementioning
confidence: 99%
“…Researches have been materialized through many projects of which we remind "Trial Solutions" [5], the paper of Dragan G., J. Jovanovic & Vladan D. (2007) [6] and also with applicability in the medical domain, the paper of S. Colantonio et al (2009) [7]. Utilizing Web semantic technologies in the context of e-…”
Section: A Creating Ontologies In the Educational Domainmentioning
confidence: 99%
“…Ontologies are used for extraction and identification of objects represented in still and video images (Kompatsiaris et al, 2005) and satellite image analysis systems (Arvor et al, 2013;Andrés et al, 2017;de Bertrand de Beuvron et al, 2013), and also in models for representing collections about the Second World War records (Hyvönen et al, 2016). In other fields closely related to image description, such as geographic information systems, we also find numerous contributions to the question of how to integrate ontologies for retrieval and registration of content (Hess et al, 2007;Fonseca et al, 2003;Kavouras et al, 2005;Alirezaie et al, 2017), as well as in medical image analysis systems (Wang and Barnaghi, 2007;Maragoudakis and Maglogiannis, 2011;Colantonio et al, 2009).…”
Section: Introductionmentioning
confidence: 99%