Knowledge Development

Exploring how software development is evolving into knowledge development in practice — where curated knowledge is refined through AI-assisted modeling and documentation, and software emerges as part of that evolving body of knowledge.

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Knowledge Development

Connecting Book Knowledge to RDF Knowledge Spaces

Book knowledge does not end with bibliographic metadata. Its value increases when connected to authors, publishers, historical periods, places, and related works. This article explains how the Semantic Integration Engine (SIE) connects book knowledge to external RDF knowledge spaces and constructs a virtual knowledge graph. Read More

2026-06-01

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Knowledge Development

Book Knowledge Materialization In SIE

This article explains the Book knowledge materialization model in SIE. Using Book as the first example domain, it describes ISBN-based acquisition, RDF knowledge categories, SIE-added knowledge structures, and projection into KnowledgeSpace. Read More

2026-05-24

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KnowledgeDevelopment Knowledge Processing Model in SimpleModeling

The knowledge processing model in SimpleModeling is structured as a transformation pipeline: “meaning → structure → definition → behavior → execution → reality.” Context governs the entire pipeline, and reality emerges through the evaluation of effects.

2026-04-27

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KnowledgeDevelopment The Philosophy of 1.5hop+: Meaning-Oriented Concept Neighborhoods

1.5hop+ is a knowledge graph exploration approach that constructs concept neighborhoods based on semantic structure rather than fixed traversal distance. By leveraging CML/UML metamodel structures, it provides sufficient semantic context for generative AI, balancing accuracy and efficiency.

2026-03-23

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KnowledgeDevelopment AI Knowledge Creation Architecture: Toward a Next-Generation SECI Model

In this article, we reorganize the processes of knowledge activation, assimilation, expression, promotion, and circulation that occur when using generative AI, and clarify how human/organizational knowledge creation connects with AI-based knowledge generation. Our objective is to redraw the knowledge-creation spiral for the AI era, centered on the two-layer structure of AI tacit knowledge and the Body of Knowledge.

2025-11-24