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The second rule checked the IP address of the user sessions.
The first rule checked the user-agent information from the user browser against a list of known browser types (e.g. Mozilla).
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In this article, we compare three reference rule checking approaches that have been reported earlier for semantic rule checking in the domain of architecture, engineering and construction (AEC).
This paper surveys rule checking systems that assess building designs according to various criteria.
In addition to the benchmark, a documentation of the actual rule checking approaches is discussed.
The development of rule checking systems for building is very young and only limited user experience is presented.
The argument for such a semantic rule checking process has been made a number of times by now.
A criterion that is tremendously important to allow adoption and uptake of such semantic rule checking approaches, is performance.
This paper contributes in solving this problem by applying automated safety rule checking to Building Information Models (BIM).
An implemented test case for acoustic performance checking illustrates the improvements of such an environment compared to traditionally deployed approaches in rule checking.
The functional capabilities of a rule checking system are organized into four stages; these functional criteria provide a framework for comparisons of the five systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com