19 research outputs found

    Bridging the gap between digital libraries and e-learning

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    Digital Libraries (DL) are offering access to a vast amount of digital content, relevant to practically all domains of human knowledge, which makes it suitable to enhance teaching and learning. Based on a systematic literature review, this article provides an overview and a gap analysis of educational use of DLs.The research work presented in this paper is partially supported by the FP7 Grant 316087 AComIn ”Advanced Computing for Innovation”, funded by the European Commission in the FP7 Capacity Programme in 2012-2016.peer-reviewe

    INFRAWEBS semantic web service development on the base of knowledge management layer

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    The paper gives an overview about the ongoing FP6-IST INFRAWEBS project and describes the main layers and software components embedded in an application oriented realisation framework. An important part of INFRAWEBS is a Semantic Web Unit (SWU) – a collaboration platform and interoperable middleware for ontology-based handling and maintaining of SWS. The framework provides knowledge about a specific domain and relies on ontologies to structure and exchange this knowledge to semantic service development modules. INFRAWEBS Designer and Composer are sub-modules of SWU responsible for creating Semantic Web Services using Case-Based Reasoning approach. The Service Access Middleware (SAM) is responsible for building up the communication channels between users and various other modules. It serves as a generic middleware for deployment of Semantic Web Services. This software toolset provides a development framework for creating and maintaining the full-life-cycle of Semantic Web Services with specific application support

    A Case-Based Integrated Learning Architecture

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    The paper presents an approach to building an Integrated Learning Architecture in which Case-Based Reasoning is used both as a corrective of solutions inferred by other problem-solving paradigms and as a method for accumulating and refining knowledge of a Knowledge Based System. The proposed architecture is intended to solve the classification task. The applications of the approach for case-based maintenance of rule-based systems and for case-based refinement of neural networks are briefly described. Keywords: Machine Learning, Integrated Learning Architecture, Case-Based Reasoning, Knowledge Refinement, Neural Networks. 1 Introduction In the current stage of the information technology the great part of the international experience in the development of knowledge based systems (KBS) is stored and available in an electronic form. This experience mainly consists of the following components: ffl Databases that normally contain unprocessed data represented as a (very large) set of unex..

    Expert Systems For Technical Diagnosis - Some Practical Issues

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    The paper is based on the experience of the authors in the development of technical diagnostic expert systems. The use of a causal-probabilistic model of the technical diagnosis is discussed in the context of two particular expert systems (ES). Practical problems during the knowledge acquisition, verification and processing when creating real ES and tools for ES development are analyzed. 1 INTRODUCTION The present paper is based on an 8-year experience in the development of expert systems for technical diagnosis. The developed ES architecture is described in [1]. For this reason the paper is confined to the following topics: a short description of the proposed knowledge representation and its use for troubleshooting; description of two real ES for diagnosis of digital electronic devices; discussion of the problems in the process of ES development; some trends for future work. 2 REPRESENTATION AND USE OF DIAGNOSTIC KNOWLEDGE 2.1 A Causal-probabilistic Model of the Technical Diagnosis..
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