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Semantic interoperability using ontologies and standards for building product properties
Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.ORCID iD: 0000-0002-9164-6485
Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.
Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.ORCID iD: 0000-0003-4216-9165
2024 (English)In: LDAC 2024, Linked Data in Architecture and Construction: Proceedings of the 12th Linked Data in Architecture and Construction Workshop, Bochum, Germany, June 13-14, 2024 / [ed] Pieter Pauwels, María Poveda-Villalón & Walter Terkaj, CEUR-WS , 2024, p. 23-35Conference paper, Published paper (Refereed)
Abstract [en]

Both standards and ontologies are among the important components to realize the vision of BIM (Building Information Modeling). They provide a community consensus for interpretation, communication and interoperability of building data. This consensus is pivotal in enabling diverse stakeholders and systems to seamlessly collaborate and share data across the entire building life cycle. In this paper we describe the development of ontologies for building product properties, aligning with standards, and demonstrate their usage in achieving semantic interoperability. First, a top-domain ontology, BPPO (Buiding Product Property Ontology), is developed for building product properties. This top-domain ontology is used to guide the development of domain ontologies for properties in different categories of products or groups of product categories. Subsequently, a domain ontology, LPPO (Lighting Product Property Ontology), is built for lighting product properties, with guidance from BPPO, in this work. The ontological terminologies of both BPPO and LPPO are aligned with the standards set forth by the BIM community. Furthermore, the ontologies have been used in an application to support and enhance the interoperability between the manufacturer’s product database and the BIM platform.

Place, publisher, year, edition, pages
CEUR-WS , 2024. p. 23-35
Series
CEUR Workshop Proceedings, ISSN 1613-0073
Keywords [en]
Ontology, Standard, Semantic Interoperability, BIM, Product Properties
National Category
Computer Sciences Construction Management
Identifiers
URN: urn:nbn:se:hj:diva-65182Scopus ID: 2-s2.0-85210246308OAI: oai:DiVA.org:hj-65182DiVA, id: diva2:1874367
Conference
12th Linked Data in Architecture and Construction Workshop, Bochum, Germany, June 13-14, 2024
Projects
Manufactured products’ information provision for light environments (MAP4Light)Prototype for products’ information flow (ProFlow)
Funder
Knowledge FoundationVinnovaAvailable from: 2024-06-20 Created: 2024-06-20 Last updated: 2024-12-10Bibliographically approved
In thesis
1. Ontology and knowledge graph-based product data representation for sustainable buildings: A case of data integration and digital product passport
Open this publication in new window or tab >>Ontology and knowledge graph-based product data representation for sustainable buildings: A case of data integration and digital product passport
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

With the growing adoption of Building Information Modeling (BIM) in the architecture, engineering, and construction (AEC) industry, product providers are increasingly required to distribute their product specifications in digital models. Currently, proprietary formats, such as BIM objects supplemented by PDF documents, are predominantly used. However, these formats do not support flexible automated product searches and data integration. By semantically representing product data using ontologies and global standards, stakeholders can more efficiently search, integrate, and utilize product information across different platforms and tools, leading to improved collaboration, reduced errors, and enhanced decision-making throughout the product lifecycle.

This study explores the use of semantic web technologies for product data integration. In the semantic web domain, ontologies are vital for facilitating data integration and sharing. Recognizing the industry’s significant impact on resource consumption and waste production, this study aims to design a digital product passport (DPP) based on ontology and knowledge graphs. The DPP will serve as a comprehensive digital record of a product’s entire lifecycle to promote the shift towards a more sustainable, circular economy model.

The design science research (DSR) methodology is employed to develop and evaluate the DPP ontology and the associated method for product data integration. A modular ontological approach was adopted to systematically capture lifecycle information of products from origin to end-of-life to ensure the interoperability and reusability of the DPP ontology.

The research results include the development of reusable ontology modules to model DPPs for various use cases and a method that can be used for automated product search and integration in BIM platforms. The research outcome demonstrates the feasibility of using semantic web technologies and modular ontologies to manage complex product information to promote more sustainable management practices in the built environment sector.

Abstract [sv]

Den ökande användningen av byggnadsinformationsmodellering (BIM) ökar kraven på att produktleverantörer tillgängliggör sin produktdata digitalt. För närvarande används främst proprietära format som BIM-objekt och PDF-dokument. Dessa format stödjer inte automatiserad produktsökning och dataintegration. Genom att representera produktdata med hjälp av ontologier och globala standarder kan aktörerna i byggindustrin effektivt söka, integrera och använda produktinformation över olika plattformar och verktyg, vilket leder till förbättrat samarbete, minskat antal fel och förbättrat beslutsfattande under produktens livscykel.

Denna studie utforskar användningen av semantisk webbteknologi för produktdataintegration. Inom den semantiska webbdomänen är ontologier avgörande för att underlätta dataintegration och interoperabilitet. Då byggbranschen har en betydande inverkan på resursförbrukning och avfallsproduktion syftar studien också till att utforma ontologi- och kunskapsgrafbaserade digitala produktpass (DPP), som fungerar som heltäckande digitala register över en produkts hela livscykel, för att stödja övergången mot en mer hållbar, cirkulär ekonomimodell.

Forskningsmetodiken Design science research (DSR) har använts för att utveckla och utvärdera DPP-ontologin och den associerade metoden för produktdataintegration. En modulär ontologimodelleringsmetodik har använts för att systematiskt fånga livscykelinformation för produkter och säkerställa interoperabilitet och återanvändbarhet för DPP-ontologin.

Forskningen har resulterat i utvecklingen av återanvändbara ontologimoduler för att modellera DPP för olika användningsfall och en metod som kan användas för automatiserad produktsökning ochintegration i BIM-plattformar. Forskningens resultat visar hur semantiska webbteknologier och modulära ontologier kan användas för att hantera komplex produktinformation med målet att utveckla en mer hållbar bebyggda miljön.

Place, publisher, year, edition, pages
Jönköping: Jönköping University, School of Engineering, 2024. p. 126
Series
JTH Dissertation Series ; 090
Keywords
BIM, Information requirements, Product data, Semantic web technologies, Ontology, Knowledge graphs, Design science, BIM, Informationskrav, Produktdata, Semantiska webbteknologi, Ontologi, Kunskapsgrafer, Designvetenskap
National Category
Construction Management Computer Sciences
Identifiers
urn:nbn:se:hj:diva-65950 (URN)978-91-89785-13-7 (ISBN)978-91-89785-14-4 (ISBN)
Public defence
2024-09-20, Gjuterisalen, E1405, School of Engineering, Jönköping, 09:00 (English)
Opponent
Supervisors
Funder
Knowledge FoundationVinnova
Available from: 2024-08-15 Created: 2024-08-15 Last updated: 2024-11-29Bibliographically approved

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Tan, HeKebede, Rahel ZelekeMoscati, AnnikaJohansson, Peter

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