1. Information modelling and knowledge bases XXXIIznanstvena monografija Opis: Information modeling and knowledge bases are important technologies for academic and industrial research that goes beyond the traditional borders of information systems and computer science. The amount and complexity of information to be dealt with grows continually, as do the levels of abstraction and the size of databases.
This book presents the proceedings of the 30th International Conference on Information Modelling and Knowledge Bases (EJC2020), due to be held in Hamburg, Germany on 8 and 9 June 2020, but instead held as a virtual conference on the same dates due to the Corona-virus pandemic restrictions. The conference provides a research forum for the exchange of scientific results and experiences, and brings together experts from different areas of computer science and other disciplines with a common interest in information modeling and knowledge bases. The subject touches on many disciplines, with philosophy and logic, cognitive science, knowledge management, linguistics and management science, as well as the emerging fields of data science and machine learning, all being relevant areas. The 23 reviewed, selected, and upgraded contributions included here are the result of presentations, comments, and discussions from the conference, and reflect the themes of the conference sessions: learning and linguistics; systems and processes; data and knowledge representation; models and interfaces; formalizations and reasoning; models and modeling; machine learning; models and programming; environment and predictions; modeling emotion; and social networks.
The book provides an overview of current research and applications, and will be of interest to all those working in the field.
Ključne besede: information modelling, knowledge bases, knowledge management, expert systems, artificial intelligence, information systems, database
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2. Information modelling and knowledge bases XXXIIIznanstvena monografija Opis: The technology of information modelling and knowledge bases addresses the complexities of modelling in digital transformation and digital innovation, reaching beyond the traditional borders of information systems and academic research in computer science.
This book presents 21 papers from the 31st International conference on Information Modeling and Knowledge Bases (EJC 2021), hosted by the Department Informatik of the University of Applied Sciences in Hamburg, Germany, and held as a virtual event from 7 to 9 September 2021 due to restrictions caused by the Corona virus. The conference provides a research forum for academics and practitioners dealing with information and knowledge to exchange scientific results and experiences, and EJC 2021 covered a wide range of themes extending knowledge discovery through conceptual modeling, knowledge and information modeling and discovery, linguistic modeling, cross-cultural communication and social computing, environmental modeling and engineering, and multimedia data modeling and systems. As always, the conference was open to new topics related to its main themes, meaning the content emphasis of the EJC conferences is always able to adapt to the changes taking place in the research field, and the 21 papers included here after rigorous review, selection and upgrading are the result of presentations, comments, and discussions during the conference.
Providing an up to the minute overview of the technology of information modeling and knowledge bases, the book will be of interest to all those working in the field.
Ključne besede: information modelling, knowledge bases, knowledge management, expert systems, artificial intelligence, information systems, database
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3. Information modelling and knowledge bases XXXIVznanstvena monografija Opis: The amount and complexity of information is continually growing, and information modeling and knowledge bases have become important contributors to technology and to academic and industrial research in the 21st century. They address the complexities of modeling in digital transformation and digital innovation, reaching beyond the traditional borders of information systems and academic computer-science research.
This book presents the proceedings of EJC 2022, the 32nd International conference on Information Modeling and Knowledge Bases, held as a hybrid event due to restrictions related to the Corona virus pandemic in Hamburg, Germany, from 30 May to 3 June 2022. The aim of the conference is to bring together experts from different areas of computer science and other disciplines with a common interest in understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. The conference has always been open to new topics related to its main themes, and the content emphasis of the conferences have changed through the years according to developments in the research field, so philosophy and logic, cognitive science, knowledge management, linguistics, and management science, as well as machine learning and AI, are also relevant areas. This book presents 19 reviewed and selected papers covering a wide range of topics, upgraded as a result of comments and discussions during the conference.
Providing a current overview of recent developments, the book will be of interest to all those using information modeling and knowledge bases as part of their work.
Ključne besede: information modelling, knowledge bases, knowledge management, expert systems, artificial intelligence, information systems, database
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4. Information modelling and knowledge bases XXXVznanstvena monografija Opis: The volume and complexity of information, together with the number of abstraction levels and the size of data and knowledge bases, grow continually. Data originating from diverse sources involves a combination of data from traditional legacy sources and unstructured data requiring backwards modeling, meanwhile, information modeling and knowledge bases have become important contributors to 21st-century academic and industrial research.
This book presents the proceedings of EJC 2023, the 33rd International Conference on Information Modeling and Knowledge Bases, held from 5 to 9 June 2023 in Maribor, Slovenia. The aim of the EJC conferences is to bring together experts from different areas of computer science and from other disciplines that share the common interest of understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. The conference constitutes a research forum for the exchange of results and experiences by academics and practitioners dealing with information and knowledge bases. The topics covered at EJC 2023 encompass a wide range of themes including conceptual modeling; knowledge and information modeling and discovery; linguistic modeling; cross-cultural communication and social computing; environmental modeling and engineering; and multimedia data modeling and systems. In the spirit of adapting to the changes taking place in these areas of research, the conference was also open to new topics related to its main themes.
Providing a current overview of progress in the field, this book will be of interest to all those whose work involves the use of information modeling and knowledge bases.
Ključne besede: information modelling, knowledge bases, knowledge management, expert systems, artificial intelligence, information systems, database
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5. Information modelling and knowledge bases XXXVIznanstvena monografija Opis: Information modeling and knowledge bases have become increasingly important for academic communities working with information systems, computer science, and artificial intelligence, and the volume and complexity and levels of abstraction, together with the size of databases and knowledge bases, continue to grow in parallel with the rising complexity of computational processes.
This book presents the proceedings of EJC 2024, the 34th international conference on Information Modelling and Knowledge Bases, held in Tokyo, Japan, from 10 to 14 June 2024. The EJC conference series aims to explore the progress in research communities with a common interest in understanding and solving problems on information modeling and knowledge bases and applying the results of research to practice by means of sharing scientific results and experiences achieved using innovative methods and systems in computer science and other disciplines. The selected papers published here cover many areas of information modeling and knowledge bases, including the theory of concepts, semantic computing, data mining, machine learning, context-based information retrieval, ontological technology, image databases, temporal and spatial databases, natural language processing, software engineering, cross-cultural computing, environmental analysis, social computing, and many others. This latest edition of the conference also addressed the question of global & environmental AI for nature and society and asked whether System 2 can do everything that AI cannot do yet.
Offering a comprehensive overview of current developments, the book will be of interest to all those working in the field.
Ključne besede: information modelling, knowledge bases, knowledge management, expert systems, artificial intelligence, information systems, database
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6. Postgraduate certificate in education (PGCE) students’ experience of mentoringAndre Du Plessis, Bedroen Ismail, 2022, izvirni znanstveni članek Opis: The school practicum is an essential component of pre-service student teachers’ training in the PGCE qualification, affording opportunities to develop mentees’ own identities. Along with a range of competences. This study explores how student teachers at Nelson Mandela University perceived their School-Based Learning (SBL) mentoring experience about the roles that mentors should fulfil based on an adapted seven-factor framework (Hudson, 2004, 2009) by adopting a post-positivist paradigm. The findings showed that both groups of participants who would like to return to the same mentor again or those who wish not to do so indicated that these seven factors played a crucial role in their decision-making.
Ključne besede: ICT modelling, ICT pedagogical knowledge, mentor, mentoring, model, personal attributes, pedagogical knowledge, system requirements
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7. Proceedings of the 33rd International Conference on Information Modelling and Knowledge Bases EJC 20232023 Opis: The proceedings of the thirty-third conference EJC 2023 combine the experience and knowledge of the experts working and different research fields of Information modelling, Conceptual modelling, Knowledge and information modelling and discovery, Linguistic modelling, Cross-cultural communication and social computing, Environmental modelling and engineering, and Multimedia data modelling and systems.
Ključne besede: conceptual modelling, knowledge modelling, information modelling, linguistic modelling, cross-cultural communication, social computing, environmental modelling, multimedia data modelling
Objavljeno v DKUM: 02.06.2023; Ogledov: 986; Prenosov: 39
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8. Relationship between knowledge management information solutions and human resource management in IT companiesJelena Horvat, 2015, doktorska disertacija Opis: Knowledge has been recognized as currency for organizational sustenance and competitive advantage and is the most prominent among traditional factors of production, such as land, labour and capital. Human resource management (HRM) includes decisions that affect the success of business, all with aim of achieving long-term goals. This thesis supports the premise of relationship between HRM and knowledge management (KM) with focus on information solutions and aims to elaborate on this link from the aspect of ICT companies. Four major parts in this thesis can be distinguished: first three concern the literature analysis of current findings and fourth part covers methodology, data analysis and conclusion. In the first part, current literature findings in the field of human resource management, its functions, applications, IT systems and previous research from Slovenia and Croatia are presented. HRM is observed through HRM functions (recruitment and selection; training and development; performance appraisal). In addition to functions, various research has been done in the field of best practices, which lead to enhancement of HR. These HR best practices are considered as important factors for successful knowledge management development. This thesis tries to present and comprehend the best practises of HRM through literature analysis and classification. Second part of the literature analysis concerns the knowledge management processes, systems and mechanisms, which are explained and supported with current research results. In the third part, findings on the relationship between HRM and KM are analysed providing a conceptual model for empirical research. This doctoral thesis focuses on two aims: the analysis of previous research findings in two perspective fields (human resource management and knowledge management) and developing and testing a conceptual model that would explain the relationship between them. Achieving these aims required a comprehensive preliminary research; involvement of experts in the field of HRM and a whole set of recent statistical techniques and findings to be applied for data analysis and interpretation. Three main hypotheses and a conceptual model regarding KM and HRM were formed based on literature findings. A total of 274 completed responses were received from companies. For data analysis and hypothesis software tool the SmartPLS is used. In ICT companies and IT departments in Slovenia and Croatia, the relationship between HRM functions and effective factors with knowledge management and information solutions is analysed. Data analysis showed that in most case there is not a large difference between Slovenian and Croatian companies when it comes to HRM functions and KM solutions. One of the major contributions is the analysis of literature evidence and providing new classification and categorization of the HRM best practice. Accordingly, after literature analysis, indicators of the HR best practice were categorized into two effective factors: Work design structures (sub-factors: Design of Work and Design of relationship) and Encouraging and opportunity structures. Second contribution are the hypothesis testing through which relationship between effective factor and knowledge management, and HRM functions, information solutions and knowledge management was analyzed. Data for this thesis was collected through online questionnaire administered to ICT companies in Slovenia and Croatia. This dissertation systemizes current literature findings in two perspective field and it offers an inside in the ICT companies form Slovenia and Croatia. Due to the fact that such research has not yet been done in Slovenia and Croatian nor systematization and classifications of best practices has been provided, this dissertation contributes to the field of human research management and knowledge management through theoretical and empirical findings.
Ključne besede: Human Resources Management, Knowledge Management, Knowledge Management Information Solutions, IT companies, Structural Equation Modelling
Objavljeno v DKUM: 24.04.2015; Ogledov: 2381; Prenosov: 245
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9. ACQUIRING TEMPORAL KNOWLEDGE FOR MAKING DECISIONS IN MEDICAL PROCESSESAida Kamišalić Latifić, 2014, doktorska disertacija Opis: A medical process is a set of medical actions performed by healthcare professionals while making observations about signs and symptoms, ordering interventions, prescriptions, tests, and any other actions in order to solve a health problem that is affecting a particular patient. The objective is to offer a curative, chronic, palliative and/or symptomatic treatments. The capability of a physician to propose an appropriate treatment depends on his/her knowledge of similar clinical cases and by following advances in the treatment of particular diseases. Time is an important concept of the real world that has to be considered in regard to medical processes. Clinical Practice Guidelines (CPGs) are a narrative set of recommendations for treating patients suffering from a particular disease. By constantly referring to CPGs physicians can stay up to date with the best evidence-based medical care and with the recommendations of experts. The time dimension is, however, often omitted or only partially covered in CPGs. Some CPGs do contain certain recommendations considering time but often there are huge gaps that are supposed to be overcome by physicians’ own knowledge and experience. At the same time, healthcare centres hold healthcare records and information systems that register medical processes and patients data, including information about the times of any encounters, prescriptions, and other medical actions. Therefore healthcare records and information systems data can be a source for detecting temporal medical knowledge and sound evidence regarding healthcare.
This thesis is centred on temporal knowledge acquisition and representation for the purposes of decision-making during medical processes. CPGs were analysed to obtain procedural knowledge models and Extended Timed Transition Diagrams defined for representations of the obtained knowledge. The data about the treatments of patients were analysed in order to detect temporal medical knowledge models that represented those medical procedures that were carried out while the data was being generated. These models thus provided an explicit representation of the time dimensions of past medical procedures. They could be used for complementing the knowledge provided by CPGs, for studying adherences to the CPGs and for representing a basic framework for medical procedural decision support systems development.
Ključne besede: knowledge acquisition, knowledge representation, temporal
knowledge, decision-making, medical processes, procedural knowledge modelling
Objavljeno v DKUM: 25.02.2014; Ogledov: 2085; Prenosov: 196
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