Research on Construction Method of Semantic Dictionary in Architecture Article Swipe

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Zhenbo Bi , Huiqin Wang , Ying Lu , Yang Hua ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1088/1755-1315/719/2/022061

Creating a semantic dictionary is an important means of solving semantic problems in the BIM core technology system, and it is one of the cores of the application of BIM technology in the architectural field. At present, the research on IFD-like libraries in China is still in its infancy. How to construct a semantic dictionary suitable for the needs of the domestic civil engineering field is one of the key issues in domestic BIM technology research. In response to this problem, this paper proposes a method of constructing an IFD Library based on the ontology of the architectural domain. Firstly, it discusses the basic problems of IFD Library-like, then analyzes the root causes of semantic ambiguity in the application of BIM technology and the methods to solve semantic ambiguity, and finally explores and verifies the method of how to construct IFD-like Library based on the ontology of the architectural domain.

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Mathematical Analysis

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Ambiguity Computer science Construct (python library) Ontology Field (mathematics) Domain (mathematical analysis) Architecture Key (lock) Semantic technology Information retrieval Semantic computing Data science Semantic Web Programming language Mathematics Mathematical analysis Art Philosophy Epistemology Computer security Visual arts Pure mathematics

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Type: article
Language: en
Landing Page: https://doi.org/10.1088/1755-1315/719/2/022061
PDF: https://iopscience.iop.org/article/10.1088/1755-1315/719/2/022061/pdf
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DOI: https://doi.org/10.1088/1755-1315/719/2/022061

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Title: Research on Construction Method of Semantic Dictionary in Architecture

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Type: article

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Language: en

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Publication year: 2021

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Publication date: 2021-04-01

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Authors: Zhenbo Bi, Huiqin Wang, Ying Lu, Yang Hua

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Landing page: https://doi.org/10.1088/1755-1315/719/2/022061

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Concepts: Ambiguity, Computer science, Construct (python library), Ontology, Field (mathematics), Domain (mathematical analysis), Architecture, Key (lock), Semantic technology, Information retrieval, Semantic computing, Data science, Semantic Web, Programming language, Mathematics, Mathematical analysis, Art, Philosophy, Epistemology, Computer security, Visual arts, Pure mathematics

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abstract_inverted_index.Abstract	0
abstract_inverted_index.Creating	1
abstract_inverted_index.Firstly,	100
abstract_inverted_index.IFD-like	41, 141
abstract_inverted_index.analyzes	110
abstract_inverted_index.domestic	62, 73
abstract_inverted_index.explores	132
abstract_inverted_index.infancy.	49
abstract_inverted_index.ontology	95, 146
abstract_inverted_index.present,	37
abstract_inverted_index.problem,	81
abstract_inverted_index.problems	12, 105
abstract_inverted_index.proposes	84
abstract_inverted_index.research	39
abstract_inverted_index.response	78
abstract_inverted_index.semantic	3, 11, 54, 115, 128
abstract_inverted_index.suitable	56
abstract_inverted_index.verifies	134
abstract_inverted_index.ambiguity	116
abstract_inverted_index.construct	52, 140
abstract_inverted_index.discusses	102
abstract_inverted_index.important	7
abstract_inverted_index.libraries	42
abstract_inverted_index.research.	76
abstract_inverted_index.ambiguity,	129
abstract_inverted_index.dictionary	4, 55
abstract_inverted_index.technology	17, 31, 75, 122
abstract_inverted_index.application	28, 119
abstract_inverted_index.engineering	64
abstract_inverted_index.constructing	88
abstract_inverted_index.Library-like,	108
abstract_inverted_index.architectural	34, 98, 149
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	4
sustainable_development_goals[0].id	https://metadata.un.org/sdg/11
sustainable_development_goals[0].score	0.4699999988079071
sustainable_development_goals[0].display_name	Sustainable cities and communities
citation_normalized_percentile.value	0.20337079
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False