Titlebook: MDATA: A New Knowledge Representation Model; Theory, Methods and Yan Jia,Zhaoquan Gu,Aiping Li Book 2021 Springer Nature Switzerland AG 20

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Spatiotemporal Data Cleaning and Knowledge Fusion,leaning. We first briefly introduce the motivation and background of knowledge fusion and data cleaning. Then, we discuss some of the recent methods for knowledge fusion and spatiotemporal data cleaning. Finally, we outline some future directions of knowledge fusion and data cleaning.

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Applications of Knowledge Representation Learning, chapter introduces the overall framework of KRL and the specific model design. In addition, we introduce the corresponding experimental evaluation tasks, including the evaluation metrics and benchmark datasets of each model. Afterwards, we summarize how to apply KRL in various downstream NLP tasks.

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