Terminology structuring aims to elicit semantic relations between the terms of a domain. We propose here to exploit definitions found in corpora to obtain such semantic relations. Definition typologies show that definitions can be introduced by different semantic relations, some of these relations being likely to structure terminologies. Our aim is therefore to mine “defining expressions” in do...

Search engines and web crawlers can not access the Deep Web directly. The workable way to access the hidden database is through query interfaces. Automatic extracting attributes from query interfaces and translating queries is a solvable way for addressing the current limitations in accessing Deep Web. However, the query interface provides semantic constraints, some attributes are co-occurred a...

In the present issue we discuss a theoretical model for processing of emotional speech during text analysis and synthesis. The model is developed for description of speech influence in affective mass media texts and also applies to several other types of emotional communication, including conflict, complaint and speech aggression. The model follows H-CogAff architecture of cognitive models and ...

Web environments provide learners with a great amount of information and various environments and opportunities that they can use to navigate, yet problems may occur as a result of the abundant choices and flexibility provided by these Web-based environments. Among these problems disorientation and cognitive overload in hypermedia are important bottlenecks. But recently emerging semantic web is...

The paper describes the results of applying semantic (versus structural) methods to the problems of software maintenance and program comprehension. Here, the focus is on tools to assist programmer to understand large legacy software systems. The method applied, Latent Semantic Analysis, is a corpus-based statistical method for inducing and representing aspects of the meanings of words and passa...

While the number of software components increase on the web, finding these components and dynamically integrating the active ones is very difficult. Extending Semantic Web technology to describing these components seams to be a solution. However, the easy acquisition of descriptions for software components is an open issue. We focus on facilitating the acquisition of software semantics. To perf...

In CBSE, current approaches based on software component are in short of flexibility because of lacking semantic. In this paper, we introduce an extended semantic discovery of software components in which non functional properties of components are considered. We also introduce an ontology supported automatic component composition method to realize the integration of the adequate component compo...

The identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applications requiring a lightweight semantic interpretation model. Currently, semantic relation classification concentrates on relations which are evaluated over open-domain data. This work provides a critique on the set of abstract relations used for seman...

Do you know Dr. Gregory House? He and his staff are medical experts. Together they can tackle almost any medical problem. At the Intensive Care department of the University Hospital of Ghent, we have developed a digital Dr. House. In the Intensive Care department there is a lot of data [1]. Per patient more than 20,000 values are generated each day [4]. Studies show that people can interpret at...

Sentiment analysis evaluates writers’ opinions based on pivot items extracted from text. These items are called opinion bearing words or, simply, sentiments. Based on these sentiments, sentiment analysis derives the opinion evaluation. Most of the work in this area evaluates opinions based on the polarity detection that can be positive, negative, or neutral. This coarse-grained sentiment polari...