TSEE: a novel knowledge embedding framework for cyberspace security
Angxiao Zhao,
Zhaoquan Gu,
Yan Jia
et al.
Abstract:Knowledge representation models have been extensively studied and they provide an important foundation for artificial intelligence. However, the existing knowledge representation models or related knowledge embedding methods mostly aim at static or temporal knowledge, which are not suitable for highly spatio-temporal relevant knowledge, such as the cyber security knowledge. In this paper, we propose a knowledge embedding framework called TSEE to handle this problem, which builds on the MDATA model to represent… Show more
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