Details
| Original language | English |
|---|---|
| Publication status | Published - 2023 |
| Event | 30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023 - London, United Kingdom (UK) Duration: 4 Jul 2023 → 7 Jul 2023 |
Conference
| Conference | 30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023 |
|---|---|
| Country/Territory | United Kingdom (UK) |
| City | London |
| Period | 4 Jul 2023 → 7 Jul 2023 |
Abstract
Every architectural design is the result of many decisions. The more a design can be organized into loose coupled, robust, and reusable parts, the faster, flexible, and reliable is the design and decision-making process. The earliest organization of a design is an architectural concept. The objects of such are high-level, non-standard and change quickly. Various platforms for parametric definition of objects exist but they are not generally interoperable as they share no interfaces. This paper proposes a meta-model that allows to organize a design into non-standard objects by capturing semantics as a graph and compute it. Thus, enabling descriptive instead of imperative parameterization of architectural concepts. Such formalization offers new possibilities regarding authoring, testing, collaboration, and reuse. Further, computational tools (like version control, unit and integration testing, graph algorithms, graph rewriting, recommender systems, graph neural networks) become applicable. An interoperable prototype has been implemented and a use-case has been provided.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- General Engineering
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2023. Paper presented at 30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023, London, United Kingdom (UK).
Research output: Contribution to conference › Paper › Research › peer review
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TY - CONF
T1 - Semio
T2 - 30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023
AU - Saluz, U.
AU - Geyer, P.
PY - 2023
Y1 - 2023
N2 - Every architectural design is the result of many decisions. The more a design can be organized into loose coupled, robust, and reusable parts, the faster, flexible, and reliable is the design and decision-making process. The earliest organization of a design is an architectural concept. The objects of such are high-level, non-standard and change quickly. Various platforms for parametric definition of objects exist but they are not generally interoperable as they share no interfaces. This paper proposes a meta-model that allows to organize a design into non-standard objects by capturing semantics as a graph and compute it. Thus, enabling descriptive instead of imperative parameterization of architectural concepts. Such formalization offers new possibilities regarding authoring, testing, collaboration, and reuse. Further, computational tools (like version control, unit and integration testing, graph algorithms, graph rewriting, recommender systems, graph neural networks) become applicable. An interoperable prototype has been implemented and a use-case has been provided.
AB - Every architectural design is the result of many decisions. The more a design can be organized into loose coupled, robust, and reusable parts, the faster, flexible, and reliable is the design and decision-making process. The earliest organization of a design is an architectural concept. The objects of such are high-level, non-standard and change quickly. Various platforms for parametric definition of objects exist but they are not generally interoperable as they share no interfaces. This paper proposes a meta-model that allows to organize a design into non-standard objects by capturing semantics as a graph and compute it. Thus, enabling descriptive instead of imperative parameterization of architectural concepts. Such formalization offers new possibilities regarding authoring, testing, collaboration, and reuse. Further, computational tools (like version control, unit and integration testing, graph algorithms, graph rewriting, recommender systems, graph neural networks) become applicable. An interoperable prototype has been implemented and a use-case has been provided.
UR - http://www.scopus.com/inward/record.url?scp=85207185970&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:85207185970
Y2 - 4 July 2023 through 7 July 2023
ER -