Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
We study a metamodel for the Entity Relationship (ER) and the Relational data model. We do this by describing the syntax of the ER data model by introducing classes for ER schemata...
In this paper we consider the types of community networks that are most often codified within the Semantic Web. We propose the recognition of a new structure which fulfils the def...
Methods to determine the semantic relatedness (SR) value between two lexically expressed entities abound in the field of natural language processing (NLP). The goal of such efforts...
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...