Charalampos Bratsas

Charalampos Bratsas
Aristotle University of Thessaloniki | AUTH · Department of Computer Science and Numerical Analysis

BSc in Mathematics, MSc & PhD in Medcial Informatics

About

84
Publications
29,505
Reads
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1,019
Citations
Introduction
Charalampos Bratsas holds a diploma in mathematics, an MSc in medical informatics and a PhD, all from AUTH. He has been involved in various projects in the area of Medical Informatics. During his PhD studies, he worked on Knowledge Management and Semantic Representation of Medical Computational Problems. He has been involved in 10 EU research projects. He is currently with the Maths Department of AUTH. He is an author in 2 theses, 4 book chapters, 7 articles in journals, and more than 20 articles published in International conference proceedings. His main areas of interest areData Mining and algorithms, Semantic Web, Social Semantic Web, Linked Data (coordinator of Greek DBPedia), Applications of Artificial Intelligence, Neuroinformatics, as well as, Collaborative elearning.
Skills and Expertise
Additional affiliations
January 2009 - April 2012
Aristotle University of Thessaloniki
Position
  • mEducator
Description
  • funded by the E.C.
March 2008 - February 2009
Aristotle University of Thessaloniki
Position
  • A Mediterranean Research and Higher Education Intranet in Medical and Biological Sciences
January 2007 - October 2008
Aristotle University of Thessaloniki
Position
  • Aerobiological Territorial Mediterranean-Oriental Systemic network» ATMOSnet
Education
February 2002 - March 2008
Aristotle University of Thessaloniki
Field of study
  • Medical Informatics
September 1999 - September 2001
Aristotle University of Thessaloniki
Field of study
  • Medical Informatics
September 1994 - March 1999
Aristotle University of Thessaloniki
Field of study
  • Mathimatics

Publications

Publications (84)
Article
Full-text available
Law enforcement authorities deal with terrorism in two ways: prevention and legal procedures to establish the offence of forming a terrorist organization. Setting up the offence of a terrorist organization requires proof that the members of the organization acquire distinct roles in the organization. Until today, this procedure has been based on un...
Article
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The COVID-19 pandemic caused a boom in demand for personal protective equipment, or so-called “COVID-19 goods”, around the world. We investigate three key sectoral global value chain networks, namely, “chemicals”, “rubber and plastics”, and “textiles”, involved in the production of these goods. First, we identify the countries that export a higher...
Article
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In recent years, law enforcement authorities have increasingly used mathematical tools to support criminal investigations, such as those related to terrorism. In this work, two relevant questions are discussed: “How can the different roles of members of a terrorist organization be recognized?” and “are there early signs of impending terrorist acts?...
Chapter
Full-text available
Emergency Department (ED) overcrowding is a major issue for the efficient management of patients. To this end, triage algorithms have been developed to support the task of patient prioritization. In this paper an ontology was designed to represent the knowledge about patient triage procedure in EDs.
Article
Full-text available
Red Flags in fiscal projects are warning signs that may indicate underlying problems with their implementation. In this paper, we present how National Strategic Reference Framework Open Data can be used to take full advantage of semantic web technologies and data mining techniques to build a knowledge-based system that identifies Red Flags. We coll...
Article
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Rising interest in the field of Intelligent Transportation Systems combined with the increased availability of collected data allows the study of different methods for prevention of traffic congestion in cities. A common need in all of these methods is the use of traffic predictions for supporting planning and operation of the traffic lights and tr...
Conference Paper
This paper presents an audio event recognition methodology in the case of basketball content. The proposed method leverages low-level features of the audio component of basketball videos to identify basic events of the game. Through the process of detecting and defining audio event classes, a sound event taxonomy of the sport is formed. The tasks o...
Chapter
The last decades the phenomenon of urbanisation has led to crowded and jammed areas, which makes life in cities more stressful. Thus, there is a high interest in the field of Intelligent Transportation Systems in order to prevent the traffic congestion. The most common way to prevent this phenomenon is with the use of short-term forecasting of traf...
Chapter
The introduction of information communication technologies (ICTs) has transformed the journalism profession through the digitalization of the work process as well as the introduction of the internet along with its services. Many new types of journalism have emerged, among which is data journalism, which requires journalists to have special ICT skil...
Article
Full-text available
Ontology matching is an essential problem in the world of Semantic Web and other distributed, open world applications. Heterogeneity occurs as a result of diversity in tools, knowledge, habits, language, interests and usually the level of detail. Automated applications have been developed, implementing diverse aligning techniques and similarity mea...
Article
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Digital and computational technology is steadily developing and continually bringing changes in the field of journalism, which faces a major crisis, as people’s trust in the media continues to decrease. This paper studies the subject of data journalism which is increasing in popularity and is considered to be at the forefront of these changes. This...
Conference Paper
Ontology matching is a crucial problem in the world of Semantic Web and other distributed, open world applications. Diversity in tools, knowledge, habits, language, interests and usually level of detail may drive in heterogeneity. Thus, many automated applications have been developed, implementing a large variety of matching techniques and similari...
Conference Paper
Accurate power output forecasting is a critical credibility factor for both conventional and renewable modern power systems. Renewable power systems, like photovoltaic (PV) systems, could be severely affected by alternating weather conditions, and this is an important issue relative to accurate fore-casts. In this paper a comparative analysis betwe...
Conference Paper
Bot Assistants can be an efficient and low-cost solution to Patient Care. One important aspect of Assistant Bots is successful Communication and Socialization with the patient. A new Conditional Entropy Retrieval Based model is proposed and also an Attitude Modeling based on Popitz Powers. The algorithm successfully retrieves the suitable answer wi...
Conference Paper
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The FAO is working actively with linked data to bring together those working with agricultural data via the use of a number of semantic taxonomies. We have developed the first Greek crop-pest ontology which links data of the crop protection domain using AIMS/FAO object properties and SKOS conceptual schemes. The concepts we have developed include r...
Conference Paper
We describe the Public Library of Veroia dataset. This dataset was created by transforming the bibliographic records of the Public Library of Veroia catalogue into Linked Open Data. We present the data model that is used, consisting of a mix of well-established vocabularies such as BIBO, RDA, DC, FOAF between others. We developed a new tool for the...
Conference Paper
Today, there is a growing need within citizens, journalists and many public bodies to explore and search for valuable information and knowledge in budget data, that are widely published by governments and municipalities across Europe. A significant element of these fiscal datasets are code lists, which serve not only for the coding and the simplici...
Conference Paper
It is well known that in the contemporary times of knowledge, data plays a pivotal role in all facets of human activity and societal interest. Processing large amounts of data is increasingly considered as conditio sine qua non for policy making by governments and decision making by individuals or enterprises. Open data is published on the Web in m...
Conference Paper
Designing and conducting user studies and pilot trials within the Active and Healthy Ageing (AHA) domain remains a major challenge for researchers. This work presents the architecture and implementation of an infrastructure for streaming and playing back AHA datasets recorded in ecologically valid environments on demand. The CAC Playback Manager pr...
Conference Paper
This paper exhibits the roadmap of the Thessaloniki Active and Healthy Ageing Living Lab (Thess-AHALL) from the demand of a specific project to openness, fostering collaborations with other researchers. It presents how carefully and intensive efforts of a multidisciplinary team turned a need for trials pertaining to a specific project to the establ...
Conference Paper
This paper exhibits two different cases of pilot contexts, that embrace the main principles of the Living Lab approach, which is the user-driven testing and development of technology in real-life environments. In the first case, a pilot phase was conducted in an ehome-like space within the premises of the Lab of Medical Physics Laboratory, based on...
Article
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After publication of the original article [1] it was brought to our attention that an acknowledgement was missing from the article. The authors would therefore like to add the following acknowledgement, and offer their apologies that this was missed out in the original publication: This work was supported in part by the European Union’s Seventh Fr...
Article
Recent neuroscientific studies focused on the identification of pathological neurophysiological patterns (emotions, geriatric depression, memory impairment and sleep disturbances) through computerised clinical decision-support systems. Almost all these research attempts employed either resting-state condition (e.g. eyes-closed) or event-related pot...
Article
Full-text available
Introduction Obstructive Sleep Apnea (OSA) is a common sleep disorder requiring the time/money consuming polysomnography for diagnosis. Alternative methods for initial evaluation are sought. Our aim was the prediction of Apnea-Hypopnea Index (AHI) in patients potentially suffering from OSA based on nonlinear analysis of respiratory biosignals duri...
Data
The CONSORT Checklist of the study. (DOC)
Article
Full-text available
Smart monitoring of seniors behavioural patterns and more specifically activities of daily living have attracted immense research interest in recent years. Development of smart decision support systems to support the promotion of health smart homes has also emerged taking advantage of the plethora of smart, inexpensive and unobtrusive monitoring se...
Article
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Background It has been shown that exergames have multiple benefits for physical, mental and cognitive health. Only recently, however, researchers have started considering them as health monitoring tools, through collection and analysis of game metrics data. In light of this and initiatives like the Quantified Self, there is an emerging need to open...
Article
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This paper addresses the problem of low impact of smart city applications observed in the fields of energy and transport, which constitute high-priority domains for the development of smart cities. However, these are not the only fields where the impact of smart cities has been limited. The paper provides an explanation for the low impact of variou...
Conference Paper
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We identify and explore the incompatibility of the application DBpedia Spotlight with languages with non-Latin alphabets such as the Greek language. After exploring the technical issues, we provide a series of solutions. We also present a fully functional realization of the Greek DBpedia Spotlight. Our modifications revealed the modularity and scal...
Conference Paper
Sharing of educational resources over the web has been a key development for both educators and learners in recent years. Pivotal roles in these developments have been played by following principles of the social/collaborative web, and more recently by exploiting advances in the semantic web front. In this paper an architecture that allows the shar...
Conference Paper
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Gender differences in mathematical thinking is a common concern of scientists from different research fields. Both parents and teachers report that males seem to perform better in complex mathematics compared to females. This study comes to shed light in the different organization of the underlying functional networks, in order to investigate the a...
Conference Paper
Semantic wikis have been widely adopted to support a variety of collaborative activities within the health domain [6], [7], [9]. In this paper, relevant existing tools that may be taken into account for the development of a Wiki-based tool are revisited. The paper then proposes a collaborative Wiki-based tool to be used for semantic management and...
Conference Paper
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Geriatric depression is a highly frequent medical condition that influences independent living and social life of senior citizens. It also affects their medical condition due to reduced commitment to the appropriate treatment. Coexistence of depressive symptoms in Mild Cognitive Impairment (MCI) and lack of objective tools towards their reliable di...
Article
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Background Various problems concerning the introduction of personal health records in everyday healthcare practice are reported to be associated with physicians’ unfamiliarity with systematic means of electronically collecting health information about their patients (e.g. electronic health records - EHRs). Such barriers may further prevent the role...
Article
This paper describes the deployment of the Greek DBpedia and the contribution to the DBpedia information extraction framework with regard to internationalization (I18n) and multilingual support. I18n filters are proposed as pluggable components in order to address issues when extracting knowledge from non-English Wikipedia editions. We report on ou...
Conference Paper
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The Mathematics Subject Classification (MSC), maintained by the American Mathematical Society’s Mathematical Reviews (MR) and FIZ Karlsruhe’s Zentralblatt für Mathematik (Zbl), is a scheme for classifying publications in mathematics. While it is widely used, its traditional, idiosyncratic conceptualization and representation did not encourage wide...
Conference Paper
Full-text available
The Mathematics Subject Classification (MSC) is a widely used scheme for classifying documents in mathematics by subject. Its traditional, idiosyncratic conceptualization and representation makes the scheme hard to maintain and requires custom implementations of search, query and annotation support. This limits uptake e.g. in semantic web technolog...
Conference Paper
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Demand for open-access and state-of-the-art medical educational content has been increasingly elevated over the last decade. Medical Learning Objects (MLOs) are usually accessible through institutional or commercial applications and websites, but are not widely available. MLO refers to a Learning Object (structured instructional material with a spe...
Article
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Although interoperability has always been a priority in e-learning, conventional Learning Management Systems are mostly geared towards the Standards for Learning Objects exchange and the integration among systems. The contingency for integration with other web applications and data is hardly foreseen. This prevents them, nowadays, from being flexib...
Article
Recent web advances and progress in technology enhanced pedagogies have outlined the important role of gaming within education. The advent of SemanticWeb and Linked Data, as well as, the availability of initiatives and infrastructures like that of DBpedia have facilitated the incorporation of gaming within educational knowledge bases. This paper pr...
Conference Paper
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Social Software and particularly semantic wikis have been increasingly adopted by many online health-related professional and educational services. Because of their ease of use and rapidity of deployment, they offer the opportunity for powerful information sharing and ease of collaboration. Semantic wikis are Web sites that can be edited by anyone...
Conference Paper
This paper presents the first steps towards a Greek Linked Open Data (LOD) cloud, initially as a collection of exposed interlinked datasets and a Greek DBpedia core hub. It is a joint effort to become part of the wider, global linked data cloud and aims to contribute in the overall cloud informational value. During the project and while forming and...
Conference Paper
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In the current explosion of internet technologies and exponentially increasing usage of the web there exists a need for effective searching and retrieval of information and resources. This is particularly true in medical and health care education. In the mEducator EUC funded project (www.mEducator.net), the collbaorators are attempting to develop t...
Conference Paper
Wikis are nowadays a mature technology and further well established as successful eLearning approaches that promote collaboration, fulfill the requirements of new trends in education and follow the theory of constructivism. Semantic Wikis on the other hand, are not yet thoroughly explored, but differentiate by offering an increased overall added va...
Article
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This paper presents a semantic rule-based system for the composition of successful algorithmic pathways capable of solving medical computational problems (MCPs). A subset of medical algorithms referring to MCP solving concerns well-known medical problems and their computational algorithmic solutions. These solutions result from computations within...
Conference Paper
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The existence of non-interoperable metadata schemas and limited use of shared vocabularies means that retrieving and processing educational resources across the Web represents a challenge. The emerging Linked Data paradigm has provided the tools and methods to share and expose metadata in a more unified and well interlinked manner, permitting both...
Conference Paper
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Electrical signals detected along the scalp by an Electroencephalogram (EEG), but that originate from non-cerebral origin are called artifacts. Especially when these artifacts are produced by the human body we talk about biological artifacts. The most common biological artifacts are the electrical signals produced by ocular and heart activity. EEG...
Article
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This paper proposes a methodology for the robust classification of neurophysiological data into four emotional states collected during passive viewing of emotional evocative pictures selected from the International Affective Picture System. The proposed classification model is formed according to the current neuroscience trends, since it adopts the...
Article
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Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected from the International Affective Picture System (IAPS). Biosignals ar...