Preprint: Data Science and Symbolic AI: synergies, challenges and opportunities
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https://datasciencehub.net/pap...challenges-and-opportunities-0
data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0
http://purl.org/dc/terms/abstract
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"Symbolic approaches to artificial intelligence represent things within a domain of knowledge through physical symbols, combine symbols into symbol ex- pressions, and manipulate symbols and symbol expressionsNN through inference processes. While a large part of Data Science relies on statistics and applies statisti- cal approaches to artificial intelligence, there is an increasing potential for success- fully applying symbolic approaches as well. Symbolic representations and sym- bolic inference are close to human cognitive representations and therefore compre- hensible and interpretable; they are widely used to represent data and metadata, and their specific semantic content must be taken into account for analysis of such in- formation; and human communication largely relies on symbols, making symbolic representations a crucial part in the analysis of natural language. Here we discuss the role symbolic representations and inference can play in Data Science, high- light the research challenges from the perspective of the data scientist, and argue that symbolic methods should become a crucial component of the data scientists’ toolbox."
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https://datasciencehub.net/pap...challenges-and-opportunities-0
data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0
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https://datasciencehub.net/pap...s-challenges-and-opportunities
data-science-and-symbolic-ai-synergies-challenges-and-opportunities
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Robert Hoehndorf
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Núria Queralt Rosinach
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"Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia. Computer, Electrical and Mathematical Sciences & Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"
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Robert Hoehndorf
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Robert Hoehndorf
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Núria Queralt Rosinach
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Tobias Kuhn
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Attribution 4.0 International (CC BY 4.0)
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https://datasciencehub.net/pap...challenges-and-opportunities-0
data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0
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