- Motivation and appropriateness to IEEE BigComp 2020
Big Data and Smart Computing are big trends in research and technology in world-wide. To keep up with the big trends, conceptual modeling for Big Data and Smart Computing has to perform properly. In this workshop, we would like to discuss research direction of CMComp research and project, including data mining, social mining, data modeling for Big Data, artificial intelligence, ambient intelligence, and Semantic Web Technologies.
- Theme and purpose
The theme of this workshop is to discuss recent progress about conceptual modeling theory, principles, and applications required in modeling, managing, and building big data and AI-based systems. Examples include autonomous activity recognition and ambient assisted living in a smart city and smart home, context awareness using big data gathered from various sensors (Smartphone-embedded sensors, Gyro sensor, motion sensor, stereo/mono cameras), and this will be useful for not only smart home but also smart city. This includes the following research areas, but not limited to:
- Recent Trends and Developments of Conceptual Modeling for Big Data and Smart Computing
- Data modeling and processing techniques for Big Data
- Artificial Intelligence techniques for Big Data Processing
- Artificial Intelligence Tools &Applications for Big Data Processing
- Data Mining and Machine Learning Technique for Smart Computing
- Intelligent System Architectures for Smart Computing
- Pattern Recognition for Smart Computing
- Ambient Intelligence for Smart Computing
- Semantic Web Techniques and Technologies
- Ontology for smart computing
- Conceptual modeling for smart city
- Conceptual modeling for smart health
- Autonomous activity recognition
- Paper Submission
Papers can be either regular or short papers, where regular papers are limited to 8 pages and short ones to 4 pages. CMComp2020 adopts a single-blind review policy.
You can submit your papers through the easychair site: https://easychair.org/conferences/?conf=cmcomp2020
The paper templates with formatting instructions:
IEEE Conference Microsoft Word Template: IEEE_MSWord_Template.doc
IEEE Conference Latex Template: IEEE_Latex_Template.zip
- Format and planned activities and a tentative schedule (a half day)
The tentative plan is a half day schedule as follows. In the first activity, the organizers will give keynote talks that introduce state-of-the-art studies for CMComp technology. The second activity consists of presentations of ongoing studies.
09:00~09:40 Registration and Opening Address
09:40~10:00 Coffee break
10:00~12:30 Presentations of ongoing research projects and developments
(6~8 papers, 15 min talk / 5 min QA)
- Selection process for presenters and minimum/maximum number of participants
All submissions must be in English and in PDF according to the IEEE two-column format for conference proceedings. All submissions will be peer-reviewed by the Program Committees of the workshop. Expected number of participants is 30 or more including presenters.
- List of organizers with a short biographical sketch of each organizer, describing relevant qualifications and experience
Name Biographical sketch
Mye Sohn - Status: Professor, Sungkyunkwan University, Republic of Korea
- Biography and experience: She received her MS and Ph. D. from the Korea Advanced Institute of Science and Technology (KAIST) in 2002. She worked for Korea Institute for Defense Analyses (KIDA) from 1988 to 2004 as a senior researcher. She currently is a professor in the Department of Systems Management Engineering. Her research interests are in ontology, semantic web technology, machine learning, and ambient assisted intelligence.
Wookey Lee - Status: Professor, Inha University, Republic of Korea
- Biography and experience: He received BS, MS and Ph. D. from Seoul Nation University. He currently is a TCDE executive committee member, WWWJ editor, BDSS EIC, and general co-chair of IEEE BigComp 2020. His research interests are in BigData, Patent information, Deep learning, and Language based AI.
Tok Wang Ling - Status: Professor in Computer Science Department at the National University of Singapore, Singapore.
- Biography and experience: He received his PhD and M.Math., both in computer science, from University of Waterloo (Canada) and B.Sc. (1st class Hons) in Mathematics from Nanyang University (Singapore). His research interests include Database Conceptual Modeling, Entity-Relationship Approach, Object-Oriented Data Model, Normalization Theory, Semi-Structured Data Model, XML Twig Pattern Query Processing, XML and Relational Database Keyword Query Processing, and Temporal Database Keyword Query Processing. He serves/served on the steering committees of 5 international conferences. He was the steering committee chair of BigComp, ER, and DASFAA. He served as Conference Co-chair of 12 international conferences, including ER 2004, DASFAA 2005, SIGMOD 2007, VLDB 2010, BigComp 2015, and ER2018. He served as Program Committee Co-chair of 6 international conferences, including DASFAA 1995, ER 1998, ER 2003, and ER 2011.
Il-Yeol Song - Status: Professor, Drexel University, USA
- Biography and experience: He served as Deputy Director of NSF-sponsored research center on Visual & Decision Informatics (CVDI) between 2012-2014. He is an ACM Distinguished Scientist and an ER Fellow. He is the recipient of the 2015 Peter P. Chen Award in Conceptual Modeling. Dr. Song published over 200+ peer-reviewed papers in data management areas. He is a co-Editor-in-Chief of Journal of Computing Science and Engineering (JCSE) and a Consulting Editor for Data and Knowledge Engineering. He won the Best Paper Award in the IEEE CIBCB 2004. He won four teaching awards from Drexel, including the most prestigious Lindback Distinguished Teaching Award. He delivered a keynote speech at the First Asia-Pacific iSchool Conference in 2014, ACM SAC 2015 conference, ER2015 Conference, EDB 2016, A-LIEP 2016 and DEXA 2018. Dr. Song served as the Steering Committee chair of the ER conference between 2010-2012. He is currently serving as the Steering Committee Chair for IEEE BigComp and a co-chair for Model Data Science Curriculum Committee for iSchools.
- Names of program committee members with an indication of which members have already agreed
Prof. Sungbum Kim (Korea Unversity, Republic of Korea)
Prof. Seokho Kang (Sungkyunkwan Unversity, Republic of Korea)
Prof. Juyoung Kang (Ajou University, Republic of Korea)
Prof. Sunghwa Lim (Namseoul University, Republic of Korea)
Prof. Junseok Hong (Kyeonggi, Republic of Korea)
Dr. Hyun Jung Lee (GoYang Research Institute, Republic of Korea)
Prof. Joo-Seok Park (Kyung-Hee University, Republic of Korea)
Prof. Changi Jeong (Ajou University, Republic of Korea)
Dr. Shinae Shin (NIA, Republic of Korea)