Scopus-DIKW-RA 2021 : 2021 Data, Information, Knowledge and Wisdom Research and Applications Conference (DIKW-RA 2021)
Call For Papers
Call for Paper
2021 Data, Information, Knowledge and Wisdom Research and Applications Conference (DIKW-RA 2021)
Oct. 28-30, 2021 | Sanya, China
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 included in the volume of Conference Proceeding tentatively, which will be submitted to Engineering Village, Scopus, Thomson Reuters (WoS) and other databases for review and indexing.(All is subject to the final publication and indexing results)
2) Selected papers with great extension will be recommended to publish in special issue on "Crossing “Data, Information, Knowledge, and Wisdom” Models—Challenges, Solutions, and Recommendations", Information(ISSN 2078-2489), which will be submitted to Scopus (Elsevier), Ei Compendex, Emerging Sources Citation Index (ESCI-Web of Science), etc for review and indexing.
●DIKW-RA 2021 Speakers
Prof. Yiyu Yao, University of 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. Zakaria Maamar, Zayed University, Dubai, United Arab Emirates
Zakaria Maamar is Professor in the College of Technological Innovation at Zayed University, Dubai, United Arab Emirates. His research interests include service computing, social computing, and Internet of (Cognitive) Things. Zakaria has extensively published in different peer reviewed journals and conferences, regularly serves on the program and organizing committees of several international conferences and workshops, and also serves on the editorial boards of many international journals. He is the recipient of an IBM Faculty Award in 2009. Zakaria has a PhD in computer science from Laval University, Quebec City, Canada.
Prof. Ejub Kajan, State University of Novi Pazar, Serbia
Ejub Kajan is an Associate Professor (retired) at the State University of Novi Pazar, Serbia. His current research focuses on e-commerce architectures, interoperability, social computing, decision support systems, and IoT. He has published in various outlets including peer reviewed journals and conferences, edited few peer-reviewed books, and serves as program committee member of several international scientific events. He also served as a reviewer for several international journals. He is the senior member of the ACM. Ejub has a PhD in computer science from University of Nis, Serbia.
Prof. Xifan Yao, South China University of Technology, China
Xifan Yao received his master’s and Ph.D. degrees from South China University of Technology (SCUT), Guangzhou, China in 1988 and 1999 respectively. He has been a full professor at the School of Mechanical and Automotive Engineering, SCUT, from March 2004. He is the author of 5 books and published 300 research papers at journals and conference proceedings. His teaching and research interests are in the areas of production and manufacturing systems, integrated manufacturing systems, smart manufacturing, proactive manufacturing, intelligent control and scheduling in complex manufacturing systems.
Dr. Victor Tang, Massachusetts Institute of Technology, USA
Victor Tang was research scientist and consultant to MIT. Formerly VP IBM-China, senior executive IBM-corporate strategy, and systems development. Founder and Secretary General of China & IBM Technology Cooperation Committee for three years. IBM’s Technology Executive for the International Olympic Committee and the 1998 Winter Olympic Games. Earned eight IBM Outstanding-Contribution Awards. Has advised the United Nations, and the Chinese government, etc. Has taught and lectured in Asia, South America and Europe. Has many research papers and authored four technology-management and technical textbooks.
Dr. Wolfgang Orthuber, University Hospital Schleswig- Holstein, Germany
Dr. Wolfgang Orthuber works as an orthodontist and mathematician at the University Hospital Schleswig-Holstein (UKSH). Wolfgang Orthuber developed the numerical search engine http://numericsearch.com to demonstrate the precise searchability of such user-defined information. The global application of the concept has significant technical potential. Worldwide comparison and search of precise data is possible, e.g., of real medical findings, treatments, and outcomes.The principle can be applied in general to information defined online, e.g. from science or industry or other objectifiable fields. If you are interested, do not hesitate to contact him.
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).
Prof. Pengcheng Fu, Hainan University, China
Dr. Pengcheng Fu is a professor in the state key laboratory of Marine Resource utilization, Hainan University.Dr. Fu’s area of research interests include: Systems Biology and Synthetic Biology, Biofuels and Bioenergy, Marine Biotechnology, Metabolic Engineering, Marine Symbiotic Systems, Bioremediation of polluted soils, Wastewater Treatment, Metabolomics/Metabolite Profiling.
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.
Prof. Xiaobing Sun, Yangzhou University, China
Xiaobing Sun is currently a professor and vice dean in School of Information Engineering at Yangzhou University. His research interests include software maintenance and evolution, software repository mining and intelligence analysis, etc. He received his Ph.D from Southeast University in 2012. He was a Post-doc fellow in Fudan University from 2015-2018. He visited Singapore Management University from 2014-2015, Hong Kong University of Science and Technology from 2018-2019. He participated in initiating and organizing the International Workshop on intelligent Bug fixing (IBF). He has been authorized more than 20 patents, and published more than 80 papers in referred international journals (STVR, IST, JSS, SCIS, etc.) and conferences (ICSE, ASE, ICSME, SANER, ICPC, etc.).
Dr. Lei Yu, Inner Mongolia University, China
Lei Yu received his Ph.D. degree from State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications in 2014. He received grants including: Program of Higher-level talents of Inner Mongolia University, and Natural Science Foundation of China, etc. He published 20+ SCI and EI papers as first author, meanwhile participated software development and system integration projects (service composition system, network protocol test system, and android applications, etc.). He is now a M.S. supervisor in Inner Mongolia Engineering Lab of Cloud Computing & Service Software, Inner Mongolia University, China. He is teaching cloud computing and programming technology. Research interests include service computing, data mining, artificial intelligence, and reverse engineering, etc.
Dr. Zhao Li, Alibaba Group, China
Zhao Li obtained his Ph.D in computer science at University of Vermont with excellent graduate award in 2012. He is currently leading the adversarial intelligence team as a senior staff scientist and technical director in Taobao division at Alibaba Group. His research interest lies in multi-agent reinforcement learning, big data driven security, and large-scale graph computing. He has published several papers in prestigious conferences and journals including WWW, AAAI, ICDE, VLDB, TKDE, etc. He also won the CIKM Analyticup Champion in 2019.
Prof. Yucong Duan, Hainan University, China
Yucong Duan is currently a full professor in college of science and information technology, Hainan University, P.R.China.He is a senior member of CCF and a senior member of IEEE. He has published more than 100 international journal or conference papers and applied more than 80 Chinese patents. His research interests include: Artificial Intelligence, Cyberspace Security , Knowledge Management, etc.
●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 Storage and Retrieval and Interface Technology
Management Information Systems
●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: email@example.com
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.
For research/academic inquiries PLS Email: firstname.lastname@example.org
For conference management inquiries PLS Email: email@example.com