Personalized content retrieval aims at improving the retrieval process by taking into account
the particular interests of individual users. However, not all user preferences are relevant in …

In this paper we present the design, implementation and evaluation of SOBA, a system for
ontology-based information extraction from heterogeneous data resources, including plain …

Ontology, as a standard (World Wide Web Consortium recommendation) for representing
knowledge in the Semantic Web, has become a fundamental and critical component for …

We propose a method to try to model fashionable dresses in this paper. We first discover
common visual patterns that appear in dress images using a human-in-the-loop, active …

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

Although recent studies on the Semantic Web have focused on crisp ontologies and
knowledge representation, they have paid less attention to imprecise knowledge. However …

Effective acquisition of descriptive semantics for images is still an open issue today. Crowd-
based human computation represents a family of approaches able to provide large scale …

Clearly, ontology components are distinguished depending on features of inexactitudes and
uncertainties. Such shortcomings are mostly the outcome an indistinct inaccurate semantic …

In this paper we present a framework for unified, personalized access to heterogeneous
multimedia content in distributed repositories. Focusing on semantic analysis of multimedia …

With the proliferation of mobile devices, management of the growing user personal
generated multimedia content is more demanding. Proper organization of this content …