Graph convolutional neural network (GCN) has drawn increasing attention and attained good performance in various computer vision tasks, however, there is a lack of clear interpretation GCN’s inner mechanism. For standard networks (CNNs), class activation mapping (CAM) methods are commonly used to visualize the connection between CNN’s decision image region by generating heatmap. Nonetheless, su...

What mechanisms underlie children's language production? Structural priming--the repetition of sentence structure across utterances--is an important measure of the developing production system. We propose its mechanism in children is the same as may underlie analogical reasoning: structure-mapping. Under this view, structural priming is the result of making an analogy between utterances, such t...

Neocortical structures typically only support slow acquisition of declarative memory; however, learning through fast mapping may facilitate rapid learning-induced cortical plasticity and hippocampal-independent integration of novel associations into existing semantic networks. During fast mapping the meaning of new words and concepts is inferred, and durable novel associations are incidentally ...

Mapping data to a shared domain ontology is a key step in publishing semantic content on the Web. Most of the work on automatically mapping structured and semi-structured sources to ontologies focuses on semantic labeling, i.e., annotating data fields with ontology classes and/or properties. However, a precise mapping that fully recovers the intended meaning of the data needs to describe the se...

Ontology mapping negotiation aims to achieve consensus among real-world entities about the process of transforming information between different ontologies. This paper describes a novel ontology mapping negotiation approach, based on the categorization of semantic bridges according to their confidence and relevance to the interoperability. The semantic bridges are then proposed between two agen...

Ontology mapping plays an important role in bridging the semantic gap between distributed and heterogeneous data sources. As the Semantic Web slowly becomes real and the amount of online semantic data increases, a new generation of tools is developed that automatically find and integrate this data. Unlike in the case of earlier tools where mapping has been performed at the design time of the to...

Ontology mapping is the process whereby two ontologies are semantically related at conceptual level and the source ontology instances are transformed into target ontology entities according to those semantic relations. The objective of MAFRA–MApping FRAmework – is to cover all the phases of the ontology mapping process, including analysis, specification, representation, execution and evolution....