Call for Paper
2021 Data, Information, Knowledge and Wisdom Research and Applications Conference (DIKW-RA 2021)
Oct. 28-30, 2021 | Sanya, China
Web: https://www.dikwra.org/


2021 Data, Information, Knowledge and Wisdom Research and Applications Conference (DIKW-RA 2021) will be held in Sanya, China during Oct. 28-30, 2021. DIKW-RA 2021 aims to bring together scientists, researchers, and industrial engineers to discuss and exchange experimental and theoretical results, novel designs, work-in-progress and case studies on theories, design mechanisms and extensions on Knowledge Graph as a Service towards cross-modal domains and mesoscale categories solutions. We hope you will join us for the great gathering of outstanding science, engineering, and technology, and look forwards to seeing you in the beautiful tropical city Sanya!


●Publication and Indexing
1, All the registered and presented papers will be published in the volume of Conference Proceeding, which will be submitted to Engineering Village, Scopus, Thomson Reuters (WoS) and other databases for review and indexing.
2, Selected papers with great extension will be recommended to publish in international journals.

●DIKW-RA 2021 Speakers
Prof. Yiyu Yao, University of Regina Regina, Canada
Yiyu Yao is a professor of computer science with the University of Regina, Canada. His research interests include three-way decision, granular computing, rough sets, formal concept analysis, information retrieval, data mining, and Web intelligence. He proposed a theory of three-way decision, a decision-theoretic rough set model, and a triarchic theory of granular computing.

Prof. Liu Wei, Beijing University of Posts and Telecommunications, China
Liu Wei, Post Professor of Beijing University of Posts and telecommunications, visiting scholar of Cambridge University (2012-2013), and expert of AI group of strategy and security research center of Tsinghua University. The research fields include: human-computer integration intelligence, cognitive engineering, user experience, human-computer environment system engineering, analytical philosophy, future situation awareness mode and behavior analysis / prediction technology, etc.

Prof. Rui Guo, Renmin University of China, China
Dr. Rui Guo is an Associate Professor at the Law School of Renmin University of China and he holds an S.J.D. degree from Harvard Law School. He serves as the director of the Center for Social Responsibility and Governance at the Institute of Law and Technology at Renmin University of China, and he is a fellow of the Harvard Law School Project on Disability. Dr. Rui Guo is the Lead Expert for the Research Group on Ethics of Artificial Intelligence of the Artificial Intelligence Working Group, Standardization Administration of the People's Republic of China(SAC).

Dr. Hien D. Nguyen, University of Information Technology, VNU-HCM, Vietnam
He is currently a senior lecturer in the Faculty of Computer Science at the University of Information Technology, VNU-HCM, Vietnam. He was also a Vice Dean of Faculty of Computer Science at the University of Information Technology, from 2014 – 2017. His research interests include knowledge representation, automated reasoning, knowledge engineering, especially the intelligent systems in education, such as intelligent problem solvers.

Dr. Feng Liu, Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, China
Feng Liu is research member of Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences and visiting professor of Nanjing University of Finance and Economics. He obtained PhD in Computer of Beijing Jiaotong University, China. Currently he is engaged in the research of IQ assessment and grading of artificial intelligence system and the research of the relationship between Internet, artificial intelligence and brain science. Dr. Feng Liu has published 30 pieces of theses, and two academic monographs.

Prof. Riccardo Martoglia, University of Modena and Reggio Emilia, FIM Department, Italy
Riccardo Martoglia is professor at the FIM Department of the University of Modena and Reggio Emilia. Here he co-directs the activities of the Information Systems Group (www.isgroup.unimo.it), which he co-founded in 2002. His research activity has its roots in the fields of data management (effectively and efficiently searching and managing relational, text, XML and graph data) and, recently, is gearing towards data analytics, also exploiting machine learning techniques.

Dr. Chen Yang, Ghent University, Belgium
He is currently a Post-doc researcher in the Faculty of Bioscience Engineering at Ghent University. His research interests include data & knowledge standardization, ontology development and application, knowledge graph reasoning, knowledge representation, etc., especially for the applications in agriculture, food and nutrition science. Chen Yang is a leading expert of two European Horizon 2020 projects, invited speaker of seven international/European level conferences, and invited peer-reviewer of several leading academic journals in information technologies, agriculture, food and nutrition science.

●Topics include but are not limited to: (for more topics: https://www.dikwra.org/CFP.html)
Application of Knowledge Representation
Techniques to Semantic Modeling
Big Data and Cloud Computing
Cooperation in Heterogeneous Systems
Data Integration, Metadata Management, and Interoperability
Data and Knowledge Sharing
Data Mining and Knowledge Discovery
Data Models, Semantics, Query languages
Data Provenance, cleaning, curation
Data Stream Systems and Sensor Networks
Data Visualization and Interactive Data Exploration
Database Privacy, Security, Trust and Design
Development and Management of Heterogeneous Knowledge Bases Digital Libraries
Domain Modeling and Ontology-Building
Information Security
Information Storage and Retrieval and Interface Technology
Management Information Systems
Multimedia Databases
Optimization Techniques
Performance Evaluation


●Paper Submission
Easychair: https://easychair.org/conferences/?conf=dikwra2021


●Call for participants
1,Presenter:If you are interested in giving presentation on conference, without publishing your paper in the proceeding, you need to submit the abstract and title of your presentation to us: info@dikwra.org

2,Listener:You are welcome to attend this great event. You need to complete the registration as Listener before the registration deadline.

3,Reviewer:We sincerely welcome professors, associate professors, teachers and other experts in the areas of Future Data, Information and Knowledge Research and Applications join the conference as a reviewer.


●Contact Us
Email: info@dikwra.org
Web: https://www.dikwra.org/