Abstract
Knowledge is human’s high-level understanding and summary of massive data. Intelligence is based on knowledge, and many works aim at representing knowledge and understanding intelligence. Although many models could represent static knowledge efficiently, it is still difficult to represent dynamic knowledge, especially which changes with time and space factors. In this chapter, we introduce a new knowledge representation model, Multi-dimensional Data Association and inTelligent Analysis (MDATA for short). We introduce three main parts in the MDATA model, knowledge representation, knowledge acquisition, and knowledge usage. We also discuss some potential applications that MDATA could be adopted and works greatly to improve the efficiency by the stronger ability of representing knowledge.
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Jia, Y., Gu, Z., Li, A., Han, W. (2021). Introduction to the MDATA Model. In: Jia, Y., Gu, Z., Li, A. (eds) MDATA: A New Knowledge Representation Model. Lecture Notes in Computer Science(), vol 12647. Springer, Cham. https://doi.org/10.1007/978-3-030-71590-8_1
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