Digital Humanities and Knowledge Discovery with Data Mining
The digital humanities is the study of and research in humanities using computer-based tools. Knowledge discovery helps to explore the work of society's scholars more scientifically. Data mining is a process to discover patterns in large amounts of data by applying specific algorithms to big data. Data mining plays an essential role in digital humanities and knowledge discovery. Digital Humanities can help to capture, analyze and visualize the cultural heritage. It is an interdisciplinary field that focuses on data as a new type of cultural heritage. For the interpretation of the world, humanities focus on cultural artifacts left from people who lived before us. In other words, societies are about the analysis of human culture. On the other hand, knowledge discovery is about discovering patterns and constructing a logical story about the data based on these patterns. The development of data mining techniques has enabled us to accumulate enormous amounts of knowledge, organize it in databases, identify patterns, and discover new facts. For example, using these techniques to analyze literature by searching for themes, we are trying to find knowledge or meaning hidden inside texts. The digital humanities merge the two fields – humanities and knowledge discovery using computer databases to develop new ways to explore cultures from the past that aren't available through standard methods.
In today's knowledge-based society, gathering and synthesizing a total amount of data is fundamental to nearly every field. This data can be used in many ways, including to help us better understand human behavior, identify public health issues, interpret geographic information, and the entertainment industry. Humanities scholars also use large amounts of data for discoveries. However, the technology currently used by the humanities is behind other fields. Together digital humanities and knowledge discovery comprise an interdisciplinary area of study that draws on multiple domains, most notably computer science, statistics, and applied mathematics. Modern digital humanities methods and tools, especially data mining, are devoted to studying past and present societies. By proposing a technological approach to traditional issues in cultural studies, digital humanities demand more sensitive and responsible treatment for knowledge about culture through digital sources. Hence, finding more advanced research and development in this field is crucially important.
This special issue focuses on the practical aspects of using data mining and machine learning tools for humanities research. It will cover: the basics of digital humanities, what knowledge discovery is and how it applies to various domains of digital humanities, how data mining is used in this domain, and explore some issues researchers face when attempting to perform a data-driven analysis.
Contributions are invited that provide perspectives on hot topics within this theme, including, but not restricted to,
Designing data mining approaches for digital humanities and knowledge discovery
Innovative data mining applications in digital humanities management
Digital humanitarian applications across various domains with data mining and knowledge discovery techniques
User behavior modeling in digital humanities with data mining approaches
Data mining for human-information interaction and applications
Social recommendation systems with data mining for digital humanitarian systems
Digital archiving with knowledge discovery and data mining approaches
Scientific data management with data mining for digital humanities
Digital humanity data management with data mining and knowledge discovery
Data mining for infrastructure and service design in digital applications
Data mining for personalization and contextualization in digital humanities
Knowledge discovery in digital humanities with data mining
- Submission Deadline: 15 November 2023
- First Review Decision: 30 November 2023
- Revised Submission: 15 December 2023
- Final decision: 30 December 2023
Guest Editors Information:
Dr. Ahmed J. Obaid,
Assistant Professor at Faculty of Computer Science and Mathematics,
University of Kufa Najaf, Iraq
Official Email: email@example.com
Google Scholar: https://scholar.google.com/citations?user=OK9dGYwAAAAJ&hl=en
Dr. Ahmed J. Obaid, is an creative lecturer at the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, a PhD in Web Mining and Data Mining from University of Babylon in 2017, under advanced technologies in Web Mining Techniques and Applications. His main line of research is Web mining Techniques and Application, Image processing in the Web Platforms. Ahmed J. is Guest Editor in OCS (Open Computer Science, Scopus, WOS) Journal, Guest Editor in KEM (Key Engineering Material, Scopus) Journal, Editor of MAICT-19 IOP journal of Physics, Scopus, ISSUE. An Associate Editor in IJAST Scopus Journal and Reviewers in many Scopus Journals (Scientific publication, Taylor and Francis, ESTA, and many others). He is leader of ICOITES, MAICT-19, ICMAICT, and IICPS EVENTS. Ahmed J. has supervised several final projects of Bachelor and Master in His main line of work. He has edited Some books, has authored and co-authored several scientific publications in journals and conferences and is a frequent reviewer of international journals and international conferences.
Dr. Zdzislaw Polkowski,
Adjunct Professor, Jan Wyzykowski University,
Wroclaw University of Economics and Business, Poland, European Union
Researcher ID: https://publons.com/researcher/4077848/zdzislaw-polkowski/
Dr. Polkowski is a certified teacher at the ZespółSzkółim. Of the United Nations in Polkowice, professor of the Jagiellonian University in the Faculty of Technical Sciences and Rector's Plenipotentiary for International Cooperation and Erasmus + Program at the Jan Wyżykowski University in Polkowice and an assistant professor at the Karkonosze State Higher Vocational School in Jelenia Góra. From 2019, he is also an assistant professor at the Department of Business Intelligence in Management, Wrocław University of Economics. He is also visiting professor at Pitesti University in Romania, WSG University in Bydgoszcz in Poland, Swami Sahajanand School of Management in Bhavnagar, India and Assistant Professor at Marwadi University in Swami Sahajanand College Of Commerce & Management in Bhavnagar, India. Former dean of the Faculty of Technical Sciences in 2009-2012 at UZZM in Lubin. He holds a PhD in computer science and management at the Wrocław University of Technology, post-graduate studies in microcomputer systems in management at the Wrocław University of Economics and post-graduate studies in pedagogical computer science at the University of Economics in Katowice. He graduated from engineering studies in the field of computer systems in industry at the Zielona Góra University of Technology. He has published over 130 journal articles, 35 conference materials, including over 55 articles in journals indexed in Web of Science, Scopus, and IEEE. He graduated from engineering studies in the field of computer systems in industry at the Zielona Góra University of Technology. He has published over 130 journal articles, 35 conference materials, including over 55 articles in journals indexed in Web of Science, Scopus, and IEEE. He graduated from engineering studies in the field of computer systems in industry at the Zielona Góra University of Technology. He has published over 130 journal articles, 35 conference materials, including over 55 articles in journals indexed in Web of Science, Scopus, and IEEE.
Also, he is the co-editor of 10 books that have been published by Springer and CRC Press Taylor & Francis. He was a member of the Technical Program Committee at many international conferences and magazines in Poland, India, China, Iran, Syria, Great Britain, Romania, Turkey and Bulgaria. So far, he has delivered over 70 invited papers at various international conferences in various countries. He is also a member of the Study Council and an expert member of the PhD research committee at many universities in India. He is also a member of the editorial boards of several journals and has served as a reviewer for many international journals. His area of interest includes IT in business, IoT in business and educational technologies. He successfully completed the research project "Development of an innovative methodology for teaching Business Informatics" financed by the European Commission. He is also the owner of an IT consulting company for small and medium-sized enterprises in Polkowice and Lubin.
Dr. Adriana Burlea-Schiopoiu,
Department of Management, Marketing and Business Administration,
Doctor of Economics, Universitatea din Craiova, Romania
Official Email: firstname.lastname@example.org
Curriculum Vitae: https://imst.academia.edu/AdrianaBurlea/CurriculumVitae
Adriana SchiopoiuBurlea is a professor of Management at the University of Craiova, Romania, vice-president of the Ethics Committee of the University of Craiova, elected member of the board of the University Doctoral School. Professor teaching and research in Human Resources Management, Project Management, Social Audit, Corporate Social Responsibility, Negotiation Techniques at University of Craiova, Faculty of Economics and Business Administration in Romania. Visiting Professor teaching and research in Cross-Cultural Management BEM Bordeaux Management School, France. Visiting Professor teaching and research in Human Resources Management at University of Corsica “Pasquale Paoli”, IAE Corte, Corte Corsica, France. Visiting Professor teaching and research in Human Resources Management, Intercultural Management at Saint-Etienne School of Management (SESOM). Professor Adriana SchiopoiuBurlea is Romanian ambassador for ARGH (Association Francophone de Gestion des RessourcesHumaines – https://www.agrh.fr/les-ambassadeurs/ ) and member of the Académie des Sciences du Management de Paris. She is a member of many organizing committees for national and international conferences.