Although verbal fluency is a frequently used neuropsychological test, little is known about the underlying cognitive processes. The authors proposed that 2 important components of fluency performance are clustering (i.e., the production of words within semantic or phonemic subcategories) and switching (i.e., the ability to shift between clusters). In Experiment 1, correlational data from 54 old...

One way to construct semantic representations in a robust manner is to enhance shallow language processors with semantic components. Here, we provide a model theory for a semantic formalism that is designed for this, namely Robust Minimal Recursion Semantics (RMRS). We show that RMRS supports a notion of entailment that allows it to form the basis for comparing the semantic output of different ...

Argumentative text has been analyzed both theoretically and computationally in terms of argumentative structure that consists of argument components (e.g., claims, premises) and their argumentative relations (e.g., support, attack). Less emphasis has been placed on analyzing the semantic types of argument components. We propose a two-tiered annotation scheme to label claims and premises and the...

With the growing availability of semantic datasets, the processing of such datasets becomes the focus of interest. In this paper, we introduce a new architecture that supports the aggregation of different types of semantic data and provides components for deriving recommendations and predicting relevant relationships between dataset entities. The developed system supports different types of dat...

It is an important issue to analyze the behavioral equivalence of semantic components when studying the dynamic replacement and recombination of them for middleware adaptation. However it is difficult to check the equivalence of behaviors rapidly and precisely. In order to improve the precision of judging, and guarantee the normality and stability of system after replacing and recombining compo...

Properly structured software libraries are crucial for the success of software reuse. Specifically, the structure of the software library ought to reflect the functional similarity of the stored software components in order to facilitate the retrieval process. We propose the application of artificial neural network technology to achieve such a structured library. In more detail, we utilize an a...

This paper discusses an architectural model that is used in implementation of Ginis framework for realization of open and scalable Web-based geographic information systems (WebGIS). WebGIS system is considered as a whole that consists of a WebGIS portal and many Web-enabled GISs. For developing of all application components of an overall WebGIS, we introduced and developed unified model of geoi...

Semantic Business Process Management (SBPM) enhances BPM with semantic technologies in order to increase the degree of automation in the BPM lifecycle and help in bridging the gap between the business and IT views on business processes. In this paper, we describe the architecture of an SBPM System (SBPMS) which supports the whole SBPM lifecycle by providing functionality for process modeling, p...

The article provides an insight into a problem of lexical semantic change. A short historical outline of the development of semantic studies is given. The authors analyze some of the most important stages in the history of the formation of this field. The existing approaches to dealing with form and meaning, namely semasiological and onomasiological ones are discussed. The authors consider the ...

The present study employs event related potentials (ERPs) to verify the utility of using electrophysiological measures to study developmental questions within the field of language comprehension. Established ERP components (N400 and P600) that reflect semantic and syntactic processing were examined. Fifteen adults and 14 children (ages 8-13) processed spoken stimuli containing either semantic o...