Cognitive Security · Paper · 2023

ATLAS: A Question Oriented Approach to the Use of Pattern Languages in Knowledge Management

R.J. Cordes, Scott David, Daniel Friedman, Alexandra Mikhailova, Andrew Penland, Sam Young, Colten Zacharias

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Overview

The ATLAS system, evolving since the late 1990s, stands as a dynamic and comprehensive knowledge management tool that intends to address the complexities of modern information supply chains. The antecedent to ATLAS was the Atlas of Risk, an informal assemblage of various risks associated with digital interactions. Here we provide an initial specification for digital prototypes and paper-and-pencil implementations of a matured ATLAS architecture which integrates pattern language approaches with question-oriented procedures to manage and interpret meaning and context. The ATLAS system facilitates the management and communication of nuanced data sets and knowledge bases with an eye towards interoperability without the need for fully shared standards. The development of ATLAS, driven by the need for enhanced data interoperability and shared understanding in an increasingly complex and volatile digital landscape, reflects a profound, community response to the challenges of information environments and the fragility of extreme specialization. ATLAS's ongoing evolution showcases its adaptability and significance in the realms of data analysis, knowledge management, and cognitive security, and this first release of a technical specification establishes a foundation for a transition from prototype to scale-appropriate implementation.

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Methods and contributions

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Findings and contributions

  • The prototype work revealed that numerous communities maintain pattern languages with limited interoperability.
  • Combining parent-child pattern relationships with question lists (QKits) yields a dynamic type system in which objects acquire implied Patterns through requests for information.
  • The prototype integrated several dozen pattern collections into over 1,000 networked patterns.
  • The design treats questions, missing information, and disagreement over information as information in their own right.
  • The authors expect knowledge-base growth to follow a sigmoid rather than exponential curve as iQueries increasingly network existing objects.

Methods

  • Alpha COGSEC ATLAS prototype built on Coda.io (2023) — A first digital ATLAS prototype applied to cognitive-security vulnerabilities and exploits, built on a low-code platform, informed the specification.
  • Object-class specification: Entity, Pattern, iQuery, Attribute, Prompt Interface — Defines core ATLAS components with properties and methods, sufficient for digital or paper-and-pencil implementation.
  • Question Oriented Design via iQuery routers and pattern QKits — Structured queries route answers to attributes and assign implied Patterns, which in turn attach new question kits (dynamic typing).
  • IXE and VIE designations for interoperating ATLAS instances — Defines Information Exchange Environments and Verified Information Exchange Environments with quality assurance and enforcement criteria.

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Citation

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Cordes, R.J.; David, Scott; Friedman, Daniel; Mikhailova, Alexandra; Penland, Andrew; Young, Sam; Zacharias, Colten. 2023. ATLAS: A Question Oriented Approach to the Use of Pattern Languages in Knowledge Management. Zenodo. DOI: 10.5281/zenodo.10296601. URL: https://doi.org/10.5281/zenodo.10296601.
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Catalog row136
Citation keyFriedman2023ATLASQuestionOrientedApproach136
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