The increasing amount of online information demands effective, scalable, and accurate mechanisms to manage and search this information. Distributed semantic-enabled architectures, which enforce semantic web technologies for resource discovery, could satisfy these requirements. In this paper, a semanticdriven adaptive architecture is presented, which improves existing resource discovery processe...

Psycholinguistic theories of semantic memory form the basis of understanding of natural language concepts. These theories are used here as an inspiration for implementing a computational model of semantic memory in the form of semantic network. Combining this network with a vector-based object-relation-feature value representation of concepts that includes also weights for confidence and suppor...

Ontologies and possibilities of using and enhancing them is a currently widespread research area.Widely unused are relations between concepts defined in ontologies in the context of knowledge representation. In this paper, the potential of using a semantic network to support the automatic generation of semantic structures is analysed. Semantic representations to unstructured natural language do...

This paper addresses an important problem related to the use of semantics in IR. It concerns the representation of document semantics and its proper use in retrieval. The approach we propose aims at representing the content of the document by the best semantic network called document semantic core in two main steps. During the first step concepts (words and phrases) are extracted from a documen...

A critical issue for P2P systems is to perform an effective content retrieval taking into account semantic properties of what is searched. Important requirements to be considered for knowledge sharing in P2P systems are related to the inherent dynamism of the P2P context demanding for a decentralized sharing and administration of knowledge and to the role of Semantic Web techniques to support d...

We consider supervised document classification where a semantic network is used to augment document features with their hypernyms. A novel document representation is introduced in which the contribution of the hypernyms to document similarity is determined by semantic network edge weights. We argue that the optimal edge weights are not a static property of the semantic network, but should rathe...

Grid-based features have been proven to be as effective region-based in multi-modal tasks such visual question answering. However, its application image captioning encounters two main issues, namely, noisy and fragmented semantics. In this paper, we propose a novel feature selection scheme, with Relation-Aware Selection (RAS) Fine-grained Semantic Guidance (FSG) learning strategy. Based on the ...