Objectives: Semantic Feature Analysis was designed to improve lexical retrieval of aphasic patients via activation of semantic networks of the words. In this approach, the anomic patients are cured with semantic information to assist oral naming. The purpose of this study was to examine the effects of Semantic Feature Analysis treatment on anomia of two nonfluent aphasic patients. Methods: A...

This paper outlines the first stage of the ODARyT Tool, a semantic web approach to represent and retrieve information in a corporate memory. After a brief discussion about the meet points between semantic web and corporate memories, we describe our semantic approach related to a specific corporate memory located in the Networks and Telecommunication domain. The corporate knowledge is represente...

Classic algorithms for community detection in social networks use the structural information to identify groups in social networks, i.e., how clusters are formed according to the topology of the relationships. However, these methods do not take into account any semantic information which could guide the clustering process, and which may add elements to do further analyses. The method we propose...

Even if they exhibit differences, many DomainSpecific Modeling Languages (DSMLs) share elements from their concepts, notations and semantics. StateCharts is a wellknown family of DSMLs that share many concepts but exhibit notational differences and many execution semantics variants (called Semantic Variation Points – SVPs –). For instance, when two conflicting transitions in a state machine are...

The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...

Background: Knowing the development pattern of children’s language is applicable in developmental psychology. Network models of language are helpful for the identification of these patterns.  Objectives: We examined the small-world properties of featured semantic networks of developing children. Materials & Methods: In this longitudinal study, the featured semantic networks of children aged 1...

The aim of the article was empirical research dominant psycho-emotional states university lecturers during progression COVID-19 pandemic. is devoted to an study factor structure and prevailing correlations between respondents. Valid methods with standardized questionnaires were used: coping strategy method, test differentiation emotional states, anxiety method. study’s picture constructed. Psyc...

We present several ways of measuring the inter-annotator agreement in the ongoing annotation of semantic inter-sentential discourse relations in the Prague Dependency Treebank (PDT). Two ways have been employed to overcome limitations of measuring the agreement on the exact location of the start/end points of the relations. Both methods – skipping one tree level in the start/end nodes, and the ...

When multiple aspects can share a join-point, they may, but do not have to, semantically interfere. We present an in depth analysis of aspect semantics and mutual influence of aspects at a shared join-point, in order to enable programmers to distinguish between potential and actual interference among aspects at shared join-points. An interactive semi-automatic procedure for specification refine...