Conceptual Meta Model for Building Information Modeling

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F20%3A00348625" target="_blank" >RIV/68407700:21110/20:00348625 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1088/1742-6596/1680/1/012037" target="_blank" >https://doi.org/10.1088/1742-6596/1680/1/012037</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1742-6596/1680/1/012037" target="_blank" >10.1088/1742-6596/1680/1/012037</a>

Result language

angličtina

Original language name

Conceptual Meta Model for Building Information Modeling

Original language description

The first meta-concept reflects a specification for data as a whole. We call this a Data Model. Good examples are ontologies or dictionaries. In addition, we have Data Sets that contain individual data according to the Data Model. The next basic meta-concept inside such a data model is a Concept referring to abstract notions as types of things of interest. Next we have Attributes being able to describe intrinsic characteristics and Relations to describe extrinsic characteristics of concepts. Concepts can be instantiated with Individuals referring to real world things you can or could point at. Such instances get lexical or reference Values for attributes respectively relations. Lexical values can be classified according to some Value Type (like string, decimal, integer, boolean etc.). Concepts can have Constraints restricting the amount of values or the values themselves or both. Also attributes and relations can have restrictions with respect to their source or target concepts (in case of relations) or value type (in case of attributes). Finally we have Derivations for concepts that tell us how new values for attributes or relations can be inferred from existing asserted values. We define three mechanisms as specific relations: 1. Classification (inverse: instantiation), from 'concrete' to 'abstract' 2. Generalization (inverse: specialization), from 'specific' to 'generic' 3. Composition (inverse: decomposition), from 'detailed' to 'global' These three mechanisms generate three hierarchy types namely a typology (of concepts), a taxonomy (of concepts, attributes or relations) and a meronomy (of concepts) respectively. Concepts are themselves instances of 'Concept' and can be instantiated in instances; Value Types are themselves instances of 'Value Type' and can be instantiated in values. Concepts can be specialized in other Concepts; attributes can be specialized in other attributes, and relations can be specialized in other relations.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

—

OECD FORD branch

20101 - Civil engineering

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Physics: Conference Series (JPCS)

ISSN

1742-6588

e-ISSN

1742-6588

Volume of the periodical

1680

Issue of the periodical within the volume

1680

Country of publishing house

GB - UNITED KINGDOM

Number of pages

10

Pages from-to

1-10

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85098597597