In CBSE, current approaches based on software component are in short of flexibility because of lacking semantic. In this paper, we introduce an extended semantic discovery of software components in which non functional properties of components are considered. We also introduce an ontology supported automatic component composition method to realize the integration of the adequate component compo...

Ontology matching is one of the most important work to achieve the goal of the semantic web. To fulfill this task, element-level matching is an indispensable step to obtain the fundamental alignment. In element-level matching process, previous work generally utilizes WordNet to compute the semantic similarities among elements, but WordNet is limited by its coverage. In this paper, we introduce ...

The prosperity of knowledge graphs (KG), as well related downstream applications, have raised the urgent request graph completion techniques for fully supporting KG reasoning tasks, especially under circumstance training data scarcity. Though large efforts been made on solving this challenge via few-shot learning tools, they mainly focus simply aggregating entity neighbors to represent referenc...

Abstract Semantic segmentation of parts objects is a marginally explored and challenging task in which multiple instances within those must be recognized an image. We introduce novel approach (GMENet) for this combining object-level context conditioning, part-level spatial relationships, shape contour information. The first target achieved by introducing class-conditioning module that enforces ...