Discovering and Investigating Cyberpatterns: The Road Map to Link Data Analytics with Reusable Knowledge

One of the most compelling challenges for data analytics is to obtain reusable, verifiable, and transferable knowledge from data. A solution to this is the pattern-oriented approach to knowledge representation that we propose in this article. The foundation of this approach is a formal theory of patterns, including a formal language for defining them, and an algebra of operations for composing patterns and instantiating them. This article outlines a road map for the study of so-called cyberpatterns: the patterns of cyberspace. It explores the scope of research, views the current state of the art, and identifies the key research questions.