The Semantic Web (SW) deployment is now a realization and the amount of semantic annotations is ever increasing thanks to several initiatives that promote a change in the current Web towards the Web of Data, where the semantics of data become explicit through data representation formats and standards such as RDF/(S) and OWL. However, such initiatives have not yet been accompanied by efficient i...

An increasing part of research in the Semantic Web has been directed at making data become the main concept of the web. Plenty of languages and specifications support this transition and work by inserting additional (semantic) markup into web documents. Yet, little attention is being paid to the possibility of expressing the actual structures of the documents in a form suitable for the semantic...

This paper examines some common logical notions, their explicit encoding in English and in Chinese, their representations in logic, and their semantic characterizations. Detailed treatments are given to the analysis of the necessary condition and the counterfactual protasisinducer ‘yàobúshì’ (if-not-be) in Chinese. Factors affecting the comprehension of these terms are explored in detail. Given...

This paper presents a robust semantic model for one-stage interpretation of natural speech. Our semantic analysis uses no explicit syntactic and morphologic knowledge, which seems sufficient for narrow application domains. In contrast to previous approaches, our semantic model is embedded in a uniform, hierarchical, stochastic modeling framework together with acoustic-phonetic and lexical knowl...

introduction: children with attention deficit hyperactivity disorder have problem in sustain attention that is necessary for learning. the purpose of present study is comparing explicit and implicit memory in children with attention deficit disorder and typically developing children. material and methods: in present cross sectional study, fifteen children with attention deficit disorder compare...

Objective: According to the declarative/procedural model, the semantic aspect of language depends on the brain structures responsible for declarative memory. The word pairs task is a common tool for evaluating declarative memory. The current study aimed to design a valid and reliable task for evaluating declarative memory in Persian children at learning and retention stages and to investigate i...

In a previous simulation a network learned labeling a small set of stimuli in three input conditions (visual features, label, label + visual features), classifying them according to colour, function, object name. Results suggested that in different input conditions the network internal representation reflects the explicit semantic structure of stimuli. Evidence on the mediating role of linguist...

BACKGROUND Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts. Approximating semantic relatedness between texts and concepts represented by these texts is an important part of many text and knowledge processing tasks of crucial importa...

The field of information retrieval and text manipulation (classification, clustering) still strives for models allowing semantic information to be folded in to improve performance with respect to standard bag-of-word based models. Many approaches aim at a concept-based retrieval, but differ in the nature of the concepts, which range from linguistic concepts as defined in lexical resources such ...