Schema-Agnostic Data Type Inference and Validation for Exchanging JSON-Encoded Construction Engineering Information
Gardado en:
| Publicado en: | Buildings vol. 15, no. 17 (2025), p. 3159-3181 |
|---|---|
| Autor Principal: | |
| Outros autores: | , , , |
| Publicado: |
MDPI AG
|
| Materias: | |
| Acceso en liña: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Etiquetas: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3249674934 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2075-5309 | ||
| 024 | 7 | |a 10.3390/buildings15173159 |2 doi | |
| 035 | |a 3249674934 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231437 |2 nlm | ||
| 100 | 1 | |a You Seokjoon |u Saman Corporation, Seoul 05774, Republic of Korea; sjyou@samaneng.com (S.Y.); b23025@hanmaceng.co.kr (H.W.J.) | |
| 245 | 1 | |a Schema-Agnostic Data Type Inference and Validation for Exchanging JSON-Encoded Construction Engineering Information | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Modern construction and infrastructure projects produce large volumes of heterogeneous data, including building information models, JSON sensor streams, and maintenance logs. Ensuring interoperability and data integrity across diverse software platforms requires standardized data exchange methods. However, traditional neutral object models, often constrained by rigid and incompatible schemas, are ill-suited to accommodate the heterogeneity and long-term nature of such data. Addressing this challenge, the study proposes a schema-less data exchange approach that improves flexibility in representing and interpreting infrastructure information. The method uses dynamic JSON-based objects, with infrastructure model definitions serving as semantic guidelines rather than rigid templates. Rule-based reasoning and dictionary-guided term mapping are employed to infer entity types from semi-structured data without enforcing prior schema conformance. Experimental evaluation across four datasets demonstrated exact entity-type match rates ranging from 61.4% to 76.5%, with overall success rates—including supertypes and ties—reaching up to 95.0% when weighted accuracy metrics were applied. Compared to a previous baseline, the method showed a notable improvement in exact matches while maintaining overall performance. These results confirm the feasibility of schema-less inference using domain dictionaries and indicate that incorporating schema-derived constraints could further improve accuracy and applicability in real-world infrastructure data environments. | |
| 653 | |a Software | ||
| 653 | |a Interoperability | ||
| 653 | |a Data exchange | ||
| 653 | |a Ontology | ||
| 653 | |a Infrastructure | ||
| 653 | |a Semantic web | ||
| 653 | |a Dictionaries | ||
| 653 | |a Heterogeneity | ||
| 653 | |a Data dictionaries | ||
| 653 | |a Computer program integrity | ||
| 653 | |a Accuracy | ||
| 653 | |a Construction engineering | ||
| 653 | |a Data models | ||
| 653 | |a Decision making | ||
| 653 | |a Inference | ||
| 653 | |a Structured data | ||
| 653 | |a Project management | ||
| 653 | |a Engineering | ||
| 653 | |a Digitization | ||
| 653 | |a Construction industry | ||
| 653 | |a Large language models | ||
| 653 | |a Building information modeling | ||
| 653 | |a Semantics | ||
| 700 | 1 | |a Ji, Hyon Wook |u Saman Corporation, Seoul 05774, Republic of Korea; sjyou@samaneng.com (S.Y.); b23025@hanmaceng.co.kr (H.W.J.) | |
| 700 | 1 | |a Kwak Hyunseok |u Hanmac Engineering, Seoul 05774, Republic of Korea; hyunss97@hanmaceng.co.kr (H.K.); ctw@hanmaceng.co.kr (T.C.) | |
| 700 | 1 | |a Chung, Taewon |u Hanmac Engineering, Seoul 05774, Republic of Korea; hyunss97@hanmaceng.co.kr (H.K.); ctw@hanmaceng.co.kr (T.C.) | |
| 700 | 1 | |a Bae Moongyo |u Precast & Pile Tech Corporation, Seoul 05774, Republic of Korea | |
| 773 | 0 | |t Buildings |g vol. 15, no. 17 (2025), p. 3159-3181 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3249674934/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3249674934/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3249674934/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |