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SCIENTIA SINICA Informationis, Volume 47, Issue 2: 171-192(2017) https://doi.org/10.1360/N112016-00120

Fragmentation knowledge processing and networked artificial intelligence}{Fragmentation knowledge processing and networked artificial intelligence

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  • ReceivedMay 6, 2016
  • AcceptedSep 24, 2016
  • PublishedFeb 13, 2017

Abstract

The Internet is responsible for the explosive growth of information and its accelerated and diversified dissemination. Human society has entered an unprecedented era of fragmented knowledge. Fragmented knowledge on the Internet is the product of diverse human behavior, thinking, and interactions. Traditional artificial intelligence methods try to intellectualize machines through an expert system established by knowledge engineering, which cannot effectively process and utilize fragmented knowledge. The summarization, reorganization, and rediscovery of the huge amount of fragmented knowledge are thus crucial scientific challenges in information science and artificial intelligence research. We analyze the limitations of traditional artificial intelligence methods associated with the large-scale processing of fragmented knowledge, discuss the basics of processing, organizing, and obtaining fragmented knowledge and the concept of networking artificial intelligence, introduce a law discovery method that can reveal the evolution of big data, and explore the hot topics of future research.


Funded by

国家重点研发计划(2016YFB1000903)

国家高技术研究发展计划(863)

(2014AA01A301)


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