Linkage scenarios of relational databases and ontologies: a systematic mapping

Relational databases are one of the most used data sources. However, as a storage source, they present a group of shortcomings. It is complex to store semantic knowledge in relational databases. To solve the deficiencies in knowledge representation of relational databases, one trend has been to use ontologies. Ontologies possess a richer semantic and are closer to the end user vocabulary than relational database schemas. The objective of the present research was to carry out a systematic mapping about the scenarios where relational databases and ontologies are linked to provide a better integration, query, and visualization of stored data. The mapping was carried out by applying a methodological proposal established in the literature. As outcomes of the research, it was detected that the mapping of relational databases to ontologies and the ontologies usage for the integration of heterogeneous data sources were the most common scenarios. Likewise, trends and challenges were identified in each scenario, which might deserve further research efforts in the future

Low Back Pain Pathogenesis and Treatment

Low back pain is a common disorder which affects the lumbar spine, and is associated with substantial morbidity for about 80% of the general population at some stages during their lives. Although low back pain usually is a self-limiting disorder that improves spontaneously over time, the etiology of low back pain is generally unknown and the diagnostic label, "non-specific low back pain", is frequently given. This book contains reviews and original articles with emphasis on pathogenesis and treatment of low back pain except for the rehabilitative aspect. Consisting of three sections, the first section of the book has a focus on pathogenesis of low back pain, while the second and third sections are on the treatment including conservative and surgical procedure, respectively

CTRL SHIFT

CTRL SHIFT makes a case for design under contemporary computation. The abstractions of reading, writing, metaphors, mythology, code, cryptography, interfaces, and other such symbolic languages are leveraged as tools for understanding. Alternative modes of knowledge become access points through which users can subvert the control structures of software. By challenging the singular expertise of programmers, the work presented within advocates for the examination of internalized beliefs, the redistribution of networked power, and the collective sabotage of computational authority

AXMEDIS 2007 Conference Proceedings

The AXMEDIS International Conference series has been established since 2005 and is focused on the research, developments and applications in the cross-media domain, exploring innovative technologies to meet the challenges of the sector. AXMEDIS2007 deals with all subjects and topics related to cross-media and digital-media content production, processing, management, standards, representation, sharing, interoperability, protection and rights management. It addresses the latest developments and future trends of the technologies and their applications, their impact and exploitation within academic, business and industrial communities

Bioinspired metaheuristic algorithms for global optimization

This paper presents concise comparison study of newly developed bioinspired algorithms for global optimization problems. Three different metaheuristic techniques, namely Accelerated Particle Swarm Optimization (APSO), Firefly Algorithm (FA), and Grey Wolf Optimizer (GWO) are investigated and implemented in Matlab environment. These methods are compared on four unimodal and multimodal nonlinear functions in order to find global optimum values. Computational results indicate that GWO outperforms other intelligent techniques, and that all aforementioned algorithms can be successfully used for optimization of continuous functions

Experimental Evaluation of Growing and Pruning Hyper Basis Function Neural Networks Trained with Extended Information Filter

In this paper we test Extended Information Filter (EIF) for sequential training of Hyper Basis Function Neural Networks with growing and pruning ability (HBF-GP). The HBF neuron allows different scaling of input dimensions to provide better generalization property when dealing with complex nonlinear problems in engineering practice. The main intuition behind HBF is in generalization of Gaussian type of neuron that applies Mahalanobis-like distance as a distance metrics between input training sample and prototype vector. We exploit concept of neuron’s significance and allow growing and pruning of HBF neurons during sequential learning process. From engineer’s perspective, EIF is attractive for training of neural networks because it allows a designer to have scarce initial knowledge of the system/problem. Extensive experimental study shows that HBF neural network trained with EIF achieves same prediction error and compactness of network topology when compared to EKF, but without the need to know initial state uncertainty, which is its main advantage over EKF

Products and Services

Today’s global economy offers more opportunities, but is also more complex and competitive than ever before. This fact leads to a wide range of research activity in different fields of interest, especially in the so-called high-tech sectors. This book is a result of widespread research and development activity from many researchers worldwide, covering the aspects of development activities in general, as well as various aspects of the practical application of knowledge

Хмарні технології в освіті: матеріали 6-го семінару CTE 2018

This volume represents the proceedings of the 6th Workshop on Cloud Technologies in Education (CTE 2018), held in Kryvyi Rih, Ukraine, in December 21, 2018. It comprises 36 contributed papers that were carefully peer-reviewed and selected from 59 submissions. The accepted papers present the state-of-the-art overview of successful cases and provides guidelines for future research. The volume is structured in five parts, each presenting the contributions for a particular workshop track.Цей том представляє матеріали 6-го семінару "Хмарні технології в освіті" (CTE 2018), який відбувся у Кривому Розі, Україна, 21 грудня 2018 р. Він включає 36 доповідей, які були ретельно перевірені та відібрані з 59 подань. Прийняті матеріали представляють сучасний огляд успішних прикладів використання та надають рекомендації щодо майбутніх досліджень. Том складається з п'яти частин, кожна з яких представляє відповідну секцію семінару