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As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies.
List of contents
1. What is Data Science. 2. Big Data and its Future. 3. Smart Warehouse Testbed: From Conceptual Framework to a Real Project. 4. Empirical Study on Sentiment Analysis. 5. Forecasting on Covid-19 Data Using ARIMAX Model. 6. ML-Based Method for Detecting and Alerting to Cyber Attacks. 7. Machine Learning in Natural Language Processing-Emerging Trends and Challenges. 8. Machine Learning and Future Directions. 9. Towards a Web Standard for Neurosymbolic Integration and Knowledge Representation Using Model Cards. 10. Semantic Web Technologies. 11. Data Science with Semantic Technologies. 12. Ontological Perspective in Cancer Care System. 13. Interoperability Frameworks: Data Fabric and Data Mesh Architectures. 14. Recommender System for E-commerce: How Ontologies Support Recommendations.
About the author
Dr. Archana Patel is an Assistant Professor, School of Law, Forensic Justice, & Policy Studies, (General Computer Applications/IT), National Forensic Sciences University, Gandhinagar, Gujarat, India. She has worked as a full time faculty at School of Computing and Information Technology, Eastern International University, Binh Duong Province, Vietnam. She has completed her Postdoc from the Freie Universität Berlin, Berlin, Germany. She has filed a patent entitled "Method and System for Creating Ontology of Knowledge Units In A Computing Environment" in Nov 2019. She has received Doctor of Philosophy (Ph.D.) in Computer Applications and PG degree both from the National Institute of Technology (NIT) Kurukshetra, India in 2020 and 2016 respectively. She has qualified GATE and UGC-NET/JRF exams in year 2017. Dr. Patel has also contributed in research project funded by Defence Research and Development Organization (DRDO), for the period of two year. Dr. Patel is an author or co-author of more than 40 publications in numerous referred journals and conference proceedings. She has been awarded best paper award (four times) in the international conferences. She has served as a reviewer in various reputed journal and conferences. Dr. Patel has received various awards for presentation of research work at various international conferences, teaching and research institutions. She has edited six books and served as a guest editors in many well reputed journals. Dr. Patel served as a keynote at ICOECA-2022 and ICSADL 2022. Her research interests are Ontological Engineering, Semantic Web, Big Data, Expert System and Knowledge Warehouse.
Dr. Narayan C. Debnath is currently the Founding Dean of the School of Computing and Information Technology at Eastern International University, Vietnam. He is also serving as the Head of the Department of Software Engineering at Eastern International University, Vietnam. Dr. Debnath has been the Director of the International Society for Computers and their Applications (ISCA) since 2014. Formerly, Dr. Debnath served as a Full Professor of Computer Science at Winona State University, Minnesota, USA for 28 years (1989-2017). He was elected as the Chairperson of the Computer Science Department at Winona State University for 3 consecutive terms and assumed the role of the Chairperson of the Computer Science Department at Winona State University for 7 years (2010-2017). Dr. Debnath earned a Doctor of Science (D.Sc.) degree in Computer Science and also a Doctor of Philosophy (Ph.D.) degree in Physics. He has served as the elected President for 2 separate terms, Vice President, and Conference Coordinator of the International Society for Computers and their Applications and has been a member of the ISCA Board of Directors since 2001. Dr. Debnath has been an active member of the ACM, IEEE Computer Society, Arab Computer Society, and a senior member of the ISCA.
Summary
As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies.
