Semantic Pattern-based Retrieval of Architectural Floor Plans with Case-based and Graph-based Searching Techniques and their Evaluation and Visualization

Sabri, Qamer Uddin; Bayer, Johannes; Ayzenshtadt, Viktor; Bukhari, Syed Saqib; Althoff, Klaus-Dieter; Dengel, Andreas

doi:10.5220/0006112800500060

Cited by 19 publications

(4 citation statements)

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“…The retrieval methods developed are subjected to an automated performance test, which is described in [15] and includes a rough estimation of the memory requirement as well as a measurement of the runtime.…”

Section: Data Modelsmentioning

confidence: 99%

“…Subjectively evaluated are, according to a questionnaire, the result sets for two types of queries: contiguous (i.e. assigned to a common scenario) and independent (each query represents its In the result of the first user study slight superiority of the exact approach was found [15]. Subjectively, this provided better results for a majority of 10 queries.…”

Section: Data Modelsmentioning

confidence: 99%

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Design Support to steer Creative Wicked Problem Solving Processes with Knowledge Management and Artificial Intelligence

Langenhan

Eisenstadt

Petzold

et al. 2019

JGRC

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As the complexity of building tasks and requirements increases, designers often find themselves confronted with interdisciplinary problems that go beyond the specific challenges and methods of architecture. The iterative nature of the design process results in a continuous exchange between creative, analytical and evaluative activities, through which the designer explores and identifies promising design variants. The ability to compare and evaluate relevant reference examples of already built or designed buildings helps designers to assess their own design and informs the design process.

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Section: Data Modelsmentioning

confidence: 99%

Section: Data Modelsmentioning

confidence: 99%

Design Support to steer Creative Wicked Problem Solving Processes with Knowledge Management and Artificial Intelligence

Langenhan

Eisenstadt

Petzold

et al. 2019

JGRC

View full text Add to dashboard Cite

show abstract

“…CBR approaches in design differ based on the method of their implementation (Elouti, 2009;Heylighen & Neuckermans, 2000;Richter et al, 2007). Example implementations in the context of sustainable architectural design can be found in (Sabri et al, 2017;Shen et al, 2017;Xiao et al, 2017).…”

Section: Related Workmentioning

confidence: 99%

Towards data-driven sustainable design: decision support based on knowledge discovery in disparate building data

Petrova

Pauwels

Svidt

et al. 2018

Architectural Engineering and Design Management

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Sustainable building design requires an interplay between multidisciplinary input and fulfilment of diverse criteria to align into one high-performing whole. BIM has already brought a profound change in that direction, by allowing execution of efficient collaborative workflows. However, design decision-making still relies heavily on rules of thumb and previous experiences, and not on sound evidence. To improve the design process and effectively build towards a sustainable future, we need to rely on the multiplicity of data available from our existing building stock. The objective of this research is, therefore, to transform existing data, discover new knowledge and inform future design decision-making in an evidence-based manner. This article looks specifically into this task by (1) outlining and distinguishing between the diverse building data sources and types, (2) indicating how the data can be analysed, (3) demonstrating how the discovered knowledge can be implemented in a semantic integration layer and (4) how it can be brought back to design professionals through the design aids they use. We, therefore, propose a performance-oriented design decision support system, relying on BIM, data mining and semantic data modelling, thereby allowing customised information retrieval according to a defined goal.

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“…Based on multidimensional correlation function, Zhao et al [8] put forward a dynamic classification method for low-carbon product designs. Sabri et al [9] designed a relatively mature BCL with the aid of five techniques: graph query, semantic query, case reasoning, accurate graph matching and inaccurate graph matching. However, the above studies have three common defects: (1) Most of them focus on the design of local BCLs and case sorting algorithms, failing to tackle online building cases.…”

Section: Introductionmentioning

confidence: 99%

Innovation Strategy Generation for Building Design Based on the Optimization Algorithm for Dynamic Sorting of Extension Set

Guo¹,

Fu²,

Li³

2020

RIA

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This paper attempts to improve the utilization efficiency of online building data in the age of big data. Focusing on data-driven building design innovation, the authors created an innovation strategy generation method for building design based on the optimization algorithm for dynamic sorting of extension set. Firstly, online building cases were captured by data acquisition software, and processed into a building case library (BCL). Next, the sorting algorithm and operation mechanism of building cases were optimized by setting up a transform mechanism for building problems and query conditions, preliminary screening of building cases based on correlation function, dynamic sorting of building cases based on extension set, etc. Finally, the innovation strategies for building design were automatically generated from the BCL, and the main factors affecting the case sorting were corrected in detailed. The case study shows that our method has high operability, improves the ability of architects to make scientific decisions based on online data, and thus promotes the innovation of computer-aided building design.

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Semantic Pattern-based Retrieval of Architectural Floor Plans with Case-based and Graph-based Searching Techniques and their Evaluation and Visualization

Cited by 19 publications

References 0 publications

Design Support to steer Creative Wicked Problem Solving Processes with Knowledge Management and Artificial Intelligence

Design Support to steer Creative Wicked Problem Solving Processes with Knowledge Management and Artificial Intelligence

Towards data-driven sustainable design: decision support based on knowledge discovery in disparate building data

Innovation Strategy Generation for Building Design Based on the Optimization Algorithm for Dynamic Sorting of Extension Set

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