A pattern collection for knowledge processing system architecture

Nadschläger, Stefan; Küng, Josef

doi:10.1145/3011784.3011796

Cited by 4 publications

(1 citation statement)

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“…Comparing the architecture of KPS and EA, six common aspects could be identified: Data Access, Internal Integration, External Integration, Parallelism, Cloud and Server (see (Nadschläger & Küng 2016) for details on the comparison). For every aspect, a set of requirements (non-functional, as well as functional) was defined helping to select suitable design patterns.…”

Section: Enterprise Application Design Patternsmentioning

confidence: 99%

Improving the Architecture of Agricultural Knowledge Processing Systems using Design Patterns

Nadschläger¹,

Nikander²,

Auer³

2019

JAI

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Use of Knowledge Processing in agriculture has continuously increased, since the first era of knowledge-based systems. Such software systems are used for support in detailed tasks, such as determining the amount of fertilizer in precision farming, as well as on high-level decision support, such as 'what to plant in the next growing season'. Unfortunately, these software systems often have shortcomings in software quality. Applying design patterns is a recognized means to achieve better systems in terms of efficiency, flexibility, and quality. In this paper, several software design patterns are mapped to the context of knowledge processing systems in agriculture. Furthermore, additional patterns are identified and described. The need for patterns with focus on particular aspects of knowledge processing in agriculture is addressed, and an implementation is introduced as a proof of concept.

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Section: Enterprise Application Design Patternsmentioning

confidence: 99%