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Introduction to Actionable Knowledge

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Relational Calculus for Actionable Knowledge

Part of the book series: Information Fusion and Data Science ((IFDS))

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Abstract

This chapter presents an introduction to actionable knowledge, its related notions, and to what general context actions are going to take effect? What is actionable knowledge? From what angle, this book is approaching it? Where and how do we position relational calculus with respect to actionable knowledge? The context of Cyber-Physical and Social Systems is briefly described. Important related notions of knowledge, dynamic decision-making, situations and situation awareness, and analytics and information fusion are being introduced. These notions are necessary to position relational calculus in the processes of creating actionable knowledge.

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Notes

  1. 1.

    The close relationship between knowledge and power is evident by the very fact that they have the same etymological roots. The word power derives from the Latin potere (to be able). The Latin noun potentia denotes an ability, capacity, or aptitude to affect outcomes, to make something possible. It can therefore be translated as both knowledge and power. (from the same reference)

  2. 2.

    Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning, and big data. (https://en.wikipedia.org/wiki/Data_science)

  3. 3.

    “The ICN concept has born in the era that more and more users are shifting their interests to the content itself rather than the location or server where contents are stored. This content-centric behavior of user applications has rendered the point-to-point communication paradigm of IP networks inefficient.”

  4. 4.

    Etymologically the term information is a noun formed from the verb “to inform,” which was borrowed in the fifteenth century from the Latin word “informare,” which means “to give form to,” “to shape,” or “to form.”

  5. 5.

    -- originating from India, having different versions, and being attributed to the Hindus, Buddhists, or Jainists.

  6. 6.

    Excerpts from Burgin’s book as well: “… the term information has been used interchangeably with many other words, such as content, data, meaning, interpretation, significance, intentionality, semantics, knowledge, etc. In the field of knowledge acquisition and management, information is contrasted to knowledge. Some researchers assume that if Plato took knowledge to be “justified true belief”, then information is what is left of knowledge when one takes away belief, justification, and truth.”

  7. 7.

    A thesaurus can form part of an ontology. It is used in natural language processing for word-sense disambiguation and text simplification.

  8. 8.

    The general theory of information does not exclude necessity of special theories of information, which can go deeper in their investigation of specific properties of information, information processes, and systems in various areas, such as Shannon’s theory, Kolmogorov’s complexity, semantic, economic, evolutionary, pragmatic , semiotic, and other special theories.

    .

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  1. Image and Information Processing Department, IMT Atlantique, Quebec City, QC, Canada

    Éloi Bossé

  2. Data Science Department, Expertises Parafuse Inc., Jouy en Josas, France

    Michel Barès

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  1. Éloi Bossé
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Bossé, É., Barès, M. (2022). Introduction to Actionable Knowledge. In: Relational Calculus for Actionable Knowledge. Information Fusion and Data Science. Springer, Cham. https://doi.org/10.1007/978-3-030-92430-0_1

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