The Second “Data Intelligence and Knowledge Service” Conference
May 11, 2021 | views: 251
About the Conference
In the era of data intelligence, on the one hand, with the growing volume of data, there are increasingly high-dimensional data, high-order data and heterogeneous data. On the other hand, such technologies as knowledge architecture, machine learning and artificial intelligence are progressing rapidly. How to mine, process and analyze the vast amount of data and obtain actionable insights to help make data-based decisions or provide knowledge services for people in implementing their tasks has attracted extensive attention from the general public. Thus a series of big data and knowledge service-based multi-domain intelligence platforms and knowledge services have come into being. To promote academic and technological exchange, present the development trends in the field of data intelligence, interpret the theoretical base and practice in constructing multi-domain knowledge service platforms with specific scenarios as examples, the second “Data Intelligence and Knowledge Service” Conference hosted by the National Science Library, Chinese Academy of Sciences, will be held in the middle of June, 2021.
Host: National Science Library, Chinese Academy of Sciences
Organizer: School of Computer Science and Engineering, Southeast University
Data Intelligence (DI)
2 Academic Committee and Organizing Committee
Chairman: Ying Ding, Jim Hendler, Guilin Qi, Zhixiong Zhang, and Yan Zhao
Members: Jinxia Huang, Fenghong Liu, Li Qian, Huaiyu Wan, Tianxing Wu and Xiaowang Zhang
This Conference will cover topics around frontiers and progress in data intelligence and knowledge services, big data analysis technologies and applications and intelligent knowledge service platform construction, open knowledge graph construction methods, technologies and tools, and evaluation methods and research of open knowledge graph. Specific examples of fields of interest include but not limited to:
Topic 1: Frontiers and Progress in Data Intelligence and Knowledge Services
Multi-language intelligence information processing
Integrating knowledge into pre-trained language models
AI from perception of intelligence to cognitive intelligence
Topic 2: Big Data Analysis Technologies and Applications and Intelligent Knowledge Service Platform Constructio
Special applications of data intelligence and knowledge services
Advances of knowledge reasoning over knowledge graph and applications
AI empowering library and information science services
Typical platforms and key technologies of data intelligence and knowledge services
Topic 3: Open Knowledge Graph Construction
Data set, tools, ontology/taxonomies construction
Specialized data set and data analysis methods
Social Question and Answer System knowledge organization and service based on knowledge graphs
Topic 4 Evaluation Methods and Research of Open Knowledge Graph
Benchmark solutions related to knowledge graphs
Evaluation methods and indicators related to knowledge graph and related algorithm
Data management and knowledge service evaluation methods
4 When and Where
When: July 9-12, 2021
Where: Online and offline
1 Online conference via Tencent
(room number and password to be sent to the participants via registration emails)
2 Offline Conference venue: Southeast University Liuyuan Hotel, Nanjing, China
(Detailed location information and agenda will be sent to all participants prior to the event via email notice.)
5 Registration Fee
Online conference: 1500 yuan （student 1200 yuan）before June 20
2000 yuan （student 1800 yuan）after June 20
Offline conference: 2000 yuan （student 1600 yuan）before June 20
2500 yuan (student 2000 yuan) after June 20
6 Confirmed Invited Speakers
Dr. Jim Hendler is a Professor and Director of the Rensselaer Institute for Data Exploration and Applications at Rensselaer Polytechnic Institute, co-Editor-in-Chief of Data Intelligence journal. He is one of the early Semantic Web developers. Hendler served as an “Internet Web Expert” for the US government, providing guidance to the data.gov project. In 2013, he was appointed by the governor as the Open Data Advisor to New York State. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA), and the leader of ADPPA DAML Project. He is a Fellow of the American Association for Artificial Intelligence, the British Computer Society, the Institute of Electrical and Electronics Engineers, the Association for Computing Machinery, the American Association for the Advancement of Science and US National Academy of Public Administration. He was the Editor-in-Chief of IEEE Intelligent Systems, the classic academic journal in the artificial intelligence field. The Semantic Web by Tim Berners-Lee, James Hendler and Ora Lassila is a classic article, and its publication indicates that this field came into being. Besides, he has made substantial contribution and produced profound impact in cognitive science, intelligence planning, data science and Web science.
Dr. Zhixiong Zhang is Deputy Director of National Science Library, Chinese Academy of Sciences, Full Research Professor, and Doctoral Supervisor. His research interests include information monitoring, semantic annotation, digital library, and long-term preservation. He serves as Director of Professional Committee of Information Technology, the Chinese Science and Technology Information Society, Deputy Director Member of National Technical Committee for Library Standardization (SAC/TC389), and Standing Committee member of Science and Technology Libraries Section of the International Federation of Library Associations and Institutions (IFLA). He is Deputy Editor-in-Chief of Data Analysis and Knowledge Discovery and Journal of Library and Information Science in Agriculture, and editorial board member of Journal of Data and Information Science and Digital Library Forum. He published more than 150 papers. He is a principal investigator (PI) of more than 40 state level and/or provincial/ministry level projects. His current projects are focused on semantic annotation based on deep learning, developing pre-trained basic language models for scientific and technological information services and AI engines for data mining scientific and technological information.
Dr. Guilin Qi is a Professor working at Southeast University (SEU) in China. He is the leader of the Knowledge Science and Engineering Group at SEU and is the Director of Cognitive Intelligence Lab at SEU. He is Deputy Director of Professional Committee of Language and Knowledge Computing, Chinese Information Processing Society (CIPS), and Deputy Director of the Professional Committee of Knowledge Organization, the Chinese Science and Technology Information Society. He is in the editorial board of the Journal of Web Semantics and the Semantic Web journal. He is the Executive Editor-in-Chief of Data Intelligence. His research interests include artificial intelligence, knowledge representation and reasoning, and semantic Web. He has published over 100 papers in these areas, many of which were published in proceedings of major conferences or journals. Dr. Qi’s research has been funded by the Ministry of Science and Technology (MOST), Natural Science Foundation of China (NSFC), and Huawei and Baidu Inc. He is a co-Chair of the Poster and Demo track of ISWC'2011 and co-Chair of the Poster and Demo track of EKAW’14. He is a PC Co-Chair of JIST2015.
Dr. Pascal Hitzler is Professor and endowed Lloyd T. Smith Creativity in Engineering Chair at the Department of Computer Science at Kansas State University and Director of the Data Semantics (DaSe) Laboratory. His research record lists over 400 publications in such diverse areas as semantic Web, artificial intelligence, neural-symbolic integration, knowledge representation and reasoning, machine learning, denotational semantics and set-theoretic topology. His research is highly cited. He is founding Editor-in-chief of the Semantic Web journal, the leading journal in the field, and of the IOS Press book series studies on the semantic Web. He is co-author of the book Foundations of Semantic Web Technologies by CRC Press, 2010, which was named as one out of seven Outstanding Academic Titles 2010 in Information and Computer Science by the American Library Association’s Choice Magazine, and has translations into German and Chinese.
Dr. Heng Ji is a Professor at Computer Science Department of University of Illinois at Urbana-Champaign. She received her Bachelor of Arts and Master of Arts degrees in Computational Linguistics from Tsinghua University and her Master’s and PhD degrees in Computer Science from New York University. Her research interests focus on natural language processing and its connections with data mining, Social Sciences and vision. She was selected as “Young Scientist” and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. She received “AI’s 10 to Watch” Award by IEEE Intelligent Systems in 2013, Google Research Awards in 2009 and 2014, Sloan Junior Faculty Award in 2012, IBM Watson Faculty Award in 2012 and 2014, and Bosch Research Awards in 2015, 2016 and 2017. She has coordinated the NIST TAC Knowledge Base Population task since 2010. She is the Associate Editor for IEEE/ACM Transaction on Audio, Speech, and Language Processing. She has served as the Program Committee Co-Chair of NAACL-HLT2018, NLP-NABD2018, NLPCC2015, CSCKG2016 and CCL2019, and Senior Area Chair for many conferences.
Dr. Francesco Osborne is a Research Fellow at the Knowledge Media Institute, The Open University, UK, where he leads the Scholarly Knowledge Mining team. He received his PhD degree in Computer Science from the University of Torino, Italy. He has authored more than 70 peer reviewed publications in the fields of information extraction, knowledge graphs, science of science, semantic Web, research analytics, and semantic publishing. His work on innovative solutions for scholarly analytics has attracted extensive interest from the industrial sector, leading to funding from both Springer Nature and Elsevier, the top two international academic publishers.
Dr. Haofen Wang has long served as CTO in a first-line artificial intelligence company and has rich experience in AI R&D management. He is one of the founders of OpenKG, the world’s largest Chinese open knowledge graph alliance. He is responsible for participating in a number of provincial and ministerial AI-related projects, and has published more than 90 high-level papers in the AI field, which have been cited more than 2,000 times and the H-Index has reached 21. He built the world’s first interactive virtual idol—”Amber·Xuyan”; the intelligent customer service robot he built has served more than 1 billion users. Currently, he is the deputy director of the Terminology Committee of China Computer Society, the deputy secretary general of the Language and Knowledge Computing Committee of Chinese Information Society and distinguished research fellow in College of Design Innovation, Tongji University.
Dr. Chengzhi Zhang (email@example.com) is a professor of Department of Information Management, Nanjing University of Science and Technology, China. He received his PhD degree of Information Science from Nanjing University, China. He has published more than 100 publications, including JASIST, Aslib JIM, JOI, OIR, SCIM, ACL, NAACL, etc. His current research interests include scientific text mining, knowledge entity extraction and evaluation, social media mining. He serves as Editorial Board Member and Managing Guest Editor for 10 international journals (Patterns, OIR, TEL, IDD, NLE, JDIS, DIM, DI, etc.) and PC members of several international conferences in fields of natural language process and scientometrics. (https://chengzhizhang.github.io/)
Dr. Li Qian is an Associate Research Professor, Director of Information System Department and Coordinator of Knowledge Service Platform Construction at National Science Library, Chinese Academy of Sciences (CAS). He is also Deputy Director of the Data Research Management Center, the National Science and Technology Library (NSTL). He is member of Youth Innovation Promotion Association, CAS, Young Information Scientist in the year 2019, and Faculty member of Library, Information and Archive Management, University of Chinese Academy of Sciences. He has been devoted to the research into scientific and technological data and knowledge computing and intelligent information and knowledge service methodology. His research interests include big data in science and technology, knowledge computing, fingerprint recognition of research design, and text semantic mining. His research has been funded by the Ministry of Science and Technology (MOST) and CAS. He has published more than 50 papers, 1 book, and 5 patents. His team has completed the construction of an intelligent knowledge service platform (https://scholarin.cn/) at CAS and has built the next-generation new ecology of open scientific and technological knowledge and service integrating "knowledge acquisition, talent discovery, technology detection, achievement transformation, industry consultation, and decision making supporting”.
Dr. Weinan Zhang is an Associate Professor and Dean Assistant, Faculty of Computer at Harbin Institute of Technology (HIT). His research interests include human-machine dialogue and natural language processing. He has published papers in international conferences such as ACL, AAAI, WWW, IJCAI and well-known journals such as IEEE TKDE. He served as Area Chair of ACL2021, Senior Program Committee of AAAI2021, and PC Chair of several international conferences. He is in the editorial board of several journals. He is a member of the Professional Committee of Information Retrieval, Chinese Information Processing Society (CIPS), executive committee member of Youth Working Committee, executive committee member of Terminology Working Committee of China Computer Federation, Harbin Chairman of YOCSEF (2021-2022), Secretary General of Harbin Branch, member of Youth Working Committee of Chinese Association for Artificial Intelligence (CAAI), and Academic Consultant of Tencent AI Lab. He is leading the project of intelligent human-machine dialogue system "BenBen", which has over 6000 users on the WeChat platform and accumulated more than 1 million human-machine dialogue data sets. In March, 2019, BenBen launched its open-domain human-machine dialogue function at AIUI intelligent interactive platform of iFLYTEK, and there are service calls for more than 6000 times monthly. He has been granted the first prize of Science and Technology Award and the second prize of Wu Wenjun AI Science & Technology Award.
Dr. Lu Zhou is a postdoctoral researcher at the Data Semantics Laboratory at Kansas State University. His research interests lie within knowledge graph schema matching, natural language processing, applied machine learning, coreference resolution, and knowledge graph population. He has published papers in conferences and journals, such as World Wide Web Conference (WWW), International Semantic Web Conference (ISWC), and Knowledge Engineering Review (KER). He served as a reviewer for several conferences and journals, such as Extended Semantic Web Conference (ESWC), ISWC, KER, and Transactions on Social Computing (ACMTSC), and Journal of Computers and Applications (JCA). In addition, he is one of the organizers of the conference track and the complex track for the Ontology Alignment Evaluation Initiative (OAEI), as part of the annual Ontology Matching workshop.