Summary of Standardizing Knowledge Engineering Practices with a Reference Architecture, by Bradley P. Allen and Filip Ilievski
Standardizing Knowledge Engineering Practices with a Reference Architecture
by Bradley P. Allen, Filip Ilievski
First submitted to arxiv on: 4 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Software Engineering (cs.SE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach to harmonizing best practices in knowledge engineering is proposed by leveraging software engineering methodology. The paper aims to create a reference architecture that associates user needs with recurring systemic patterns, building on existing workflows and boxologies. A six-step roadmap is provided for developing this architecture, which includes defining the architectural scope, selecting information sources, and analyzing the results. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Knowledge engineers are working to create reliable intelligent agents by producing high-quality knowledge. This paper suggests a new way of organizing the field by using software engineering principles. It proposes creating a reference architecture that links user needs with patterns in knowledge systems. The authors provide a step-by-step plan for developing this architecture, which will help advance the field and connect it to other areas like data science. |
