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Volume 12, Issue 41 December 2012
Reflects downloads up to 01 Dec 2024Bibliometrics
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article
Open Access
article
Open Access
Sinus – A Semantic Technology Enhanced Environment For Learning In Humanities
Abstract

The paper describes a semantic technology based environment intended for developing technology enhanced learning applications in humanitarian problem domains. The environment consists of three layers: the storage layer contains ...

article
Open Access
Technology Enhanced Learning for Humanities by Active Learning − the Sinus Project Approach
Abstract

The paper presents an approach to active learning facilitated by the use of semantic technologies. Some features of active learning and understanding of learning in humanities are discussed. The specifics of a well defined learning task - ...

article
Open Access
New Applications of “Ontology-to-Text Relation” Strategy for Bulgarian Language
Abstract

The paper presents new applications of the Ontology-to-Text Relation Strategy to Bulgarian Iconographic Domain. First the strategy itself is discussed within the triple ontology-terminological lexicon-annotation grammars, then - the ...

article
Open Access
Structured Information Extraction from Medical Texts in Bulgarian
Abstract

This paper presents an approach for Information Extraction (IE) from Patient Records (PRs) in Bulgarian. The specific terminology and lack of resources in electronic format are some of the obstacles that make the task of current patient ...

article
Open Access
Image Processing for Technological Diagnostics of Metallurgical Facilities
Abstract

The paper presents an overview of the image-processing techniques. The set of basic theoretical instruments includes methods of mathematical analysis, linear algebra, probability theory and mathematical statistics, theory of digital ...

article
Open Access
Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification
Abstract

Support Vector Machines (SVMs) have gained prominence because of their high generalization ability for a wide range of applications. However, the size of the training data that it requires to achieve a commendable performance becomes ...

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