An Analysis of Colour Semantics in Art Images

This article presents the principal results of the Ph.D. thesis A Novel Method for Content-Based Image Retrieval in Art Image Collections Utilizing Colour Semantics by Krassimira Ivanova (Institute of Mathematics and Informatics, BAS), successfully defended at Hasselt Uni-versity in Belgium, Faculty of Science, on 15 November 2011.The article briefly presents the results achieved by the PhD project R-1875 “Search in Art Image Collections Based on Colour Semantics”, Hasselt University, which finished successfully. The main goals of this work were to provide a detailed analysis of the colour theories, especially on existing interconnections in successful colour combinations, as well as to formalize them in order to implement automated extraction from digitized artworks

The Staple Commodities of the Knowledge Market

In this paper, the “Information Market” is introduced as a payable information exchange and based on it information interaction. In addition, special kind of Information Markets - the Knowledge Markets are outlined. The main focus of the paper is concentrated on the investigation of the staple commodities of the knowledge markets. They are introduced as kind of information objects, called “knowledge information objects”. The main theirs distinctive characteristic is that they contain information models, which concern sets of information models and interconnections between them

Basic Structure of the General Information Theory

The basic structure of the General Information Theory (GIT) is presented in the paper. The main divisions of the GIT are outlined. Some new results are pointed

Analysis of the Distributions of Color Characteristics in Art Painting Images

In this paper we study some of the characteristics of the art painting image color semantics. We analyze the color features of differ- ent artists and art movements. The analysis includes exploration of hue, saturation and luminance. We also use quartile’s analysis to obtain the dis- tribution of the dispersion of defined groups of paintings and measure the degree of purity for these groups. A special software system “Art Paint- ing Image Color Semantics” (APICSS) for image analysis and retrieval was created. The obtained result can be used for automatic classification of art paintings in image retrieval systems, where the indexing is based on color characteristics

Basic Interactions between Members of the Knowledge Market

The interconnections and information interactions between main members of the Knowledge Market are presented in the paper

IoT on the Roofs of Municipally Governed Vehicles for Air Pollution Tracking

One of the biggest challenges for the municipal government is dealing with air pollution. According to data furnished by the World Health Organization 9 out of 10 people worldwide breathe polluted air. Smart city infrastructures provide many opportunities to find solutions to a number of tasks, including the task for collecting information on pollution in different parts of the city. We propose an idea to use municipally governed vehicles, such as police cars, busses, trains, garbage collector machines, etc. as carriers of mobile sensors for collecting data for air pollution. A conceptual model and plans for a series of experiments for the feasibility of this idea are proposed.Contract DО1-161/28.08.2018 "NGIC – National Geoinformation Center for monitoring, assessment and prediction of natural and anthropogenic risks and disasters" under the Program "National Roadmap for Research Infrastructure 2017-2023", funded by the Bulgarian Ministry of Education and Science

Business Informatics

A definition of the concept "business informatics" based on the General Information Theory is discussed in the paper

Advance of the Access Methods

The goal of this paper is to outline the advance of the access methods in the last ten years as well as to make review of all available in the accessible bibliography methods

Access to Digital Cultural Heritage: Innovative Applications of Automated Metadata Generation

Access to Digital Cultural Heritage: Innovative Applications of Automated Metadata Generation Edited by: Krassimira Ivanova, Milena Dobreva, Peter Stanchev, George Totkov Authors (in order of appearance): Krassimira Ivanova, Peter Stanchev, George Totkov, Kalina Sotirova, Juliana Peneva, Stanislav Ivanov, Rositza Doneva, Emil Hadjikolev, George Vragov, Elena Somova, Evgenia Velikova, Iliya Mitov, Koen Vanhoof, Benoit Depaire, Dimitar Blagoev Reviewer: Prof., Dr. Avram Eskenazi Published by: Plovdiv University Publishing House "Paisii Hilendarski" ISBN: 978-954-423-722-6 2012, Plovdiv, Bulgaria First EditionThe main purpose of this book is to provide an overview of the current trends in the field of digitization of cultural heritage as well as to present recent research done within the framework of the project D002-308 funded by Bulgarian National Science Fund. The main contributions of the work presented are in organizing digital content, metadata generation, and methods for enhancing resource discovery. The parts of the book can be downloaded here

Challenges to the Support of Bulgarian Open Institutional Repositories

Open access academic archives are the proper instrument to make visible the majority of the works done during the years and to propagate the results of already paid research activities, thus raising their value. This is the way to achieve an improved management of intellectual assets of the whole university and research community. This paper examines the indicators of the success as well as the challenges in the support of Bulgarian institutional repositories. The findings are based on a comparative case study of the six repositories in research institutes and universities and the local repository of the Department of Informatics at New Bulgarian University