Narrowing the semantic gap represents one of the most outstanding challenges in medical
image analysis and indexing. This paper introduces a medical knowledge-guided paradigm …

Recently, the number and heterogeneity of life science datasets published on the Web have
increased significantly. However, biomedical scientists face numerous serious difficulties …

Semantic annotation of digital objects within large multimedia collections is a difficult and
challenging task. We describe a method for semi-automatic annotation of images and apply …

Abstract Machine understandable metadata forms the main prerequisite for the intelligent
services envisaged in a Web, which going beyond mere data exchange and provides for …

Recent advances in semantic image analysis have brought forth generic methodologies to
support concept learning at large scale. The attained performance however is highly …

Reo is a graphical channel-based coordination language that enables the modeling of
complex behavioral protocols using a small set of channel types with well-de ned behavior …

Statistical learning approaches, bounded mainly to knowledge related to perceptual
manifestations of semantics, fall short to adequately utilise the meaning and logical …

This paper proposes ontology based conceptual framework for storage and retrieval of
Digitized Museum Artifacts. The proposed framework uses ontology structure for automatic …

This paper introduces a hybrid multimedia retrieval model that is capable of retrieving
cultural heritage multimedia content, based on their semantic annotation with the help of an …

(57) ABSTRACT A computer-implemented method, system, and computer program product
for producing a semantic query by example are provided. The method includes receiving …