The basic theory and application of networked knowledge


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2017-2022

FUNDING AMOUNT

10500000.0 CNY

ABSTRACT

Networked knowledge is an emerging interdisciplinary research field by merging network science and knowledge engineering. Our research group has been selected into one of prestigious interdisciplinary research team of Chinese Academy of Sciences and established a specific Research Center for Network Science, which focuses on the fundamental theory and applications of networked knowledge. Over the last three decades, our group has made a series of achievements in several research areas, including the artificial intelligence theory, knowledge engineering and their applications, the fundamental theory of complex networks, the bioinformatics and system biology, network collective behaviors and the Big Data analysis. As a result, our group has received some prestigious awards, including the Second Prize of National Natural Science Award twice from the Chinese government, the Second Prize of National Science and Technology Progress from the Chinese government, the Lifetime Achievement Award from the China Computer Federation, the Hua Luogeng Mathematics Prize, the IEEE Fellow Award, the ISI Highly Cited Researcher, the National Science Conference Prize, the Guanghua Engineering Science and Technology Award from the Chinese Academy of Engineering, the First Prize of Science and Technology Award four times from the Chinese provinces or ministries. To establish the new theories and methods of networked knowledge, our group focuses on the following important research directions: to break through some bottleneck problems of complex networks, to resolve several basic scientific problems of the networked knowledge representation, networked knowledge service and networked knowledge engineering, to reveal the basic laws of dynamical evolution of bioinformatic networks, to develop the theories and highly efficient algorithms for social networks and Big Data analysis, and to explore the structures and functions of the next generation World Wide Web and semantic webs. More... »

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