This paper introduces a new, graphbased view of the data of the FrameNet project, which we hope will make it easier to understand the mixture of semantic and syntactic information contained in FrameNet annotation. We show how English FrameNet and other Frame Semantic resources can be represented as sets of interconnected graphs of frames, frame elements, semantic types, and annotated instances ...

Networks are used in many scientific fields such as biology, social science, and information technology. They aim at modelling, with edges, the way objects of interest, represented by vertices, are related to each other. Looking for clusters of vertices, also called communities or modules, has appeared to be a powerful approach for capturing the underlying structure of a network. In this contex...

graph theory based methods are powerful means for representing structural systems so that their geometry and topology can be understood clearly. the combination of graph theory based methods and some metaheuristics can offer effective solutions for complex engineering optimization problems. this paper presents a charged system search (css) algorithm for the free shape optimizations of thin-wall...

Abstract In recent years, we have witnessed the proliferation of knowledge graphs (KG) in various domains, aiming to support applications like question answering, recommendations, etc. A frequent task when integrating from different KGs is find which subgraphs refer same real-world entity, a largely known as Entity Alignment. Recently, embedding methods been used for entity alignment tasks, tha...

• Indexing techniques are essential in large scale subgraph searching. Three new indexing proposed, which leverage the use of bitmaps. Generic framework for filter-then-verify implementations on top Apache Spark. Evaluation shows that different indexes suitable query selectivities. A distributed approach is very databases and low selective queries. Subgraph searching an problem graph databases,...