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Semantic web for information exchange between the building and manufacturing industries: a literature review
Jönköping University, School of Engineering, JTH, Civil Engineering and Lighting Science.ORCID iD: 0000-0002-9164-6485
Jönköping University, School of Engineering, JTH, Civil Engineering and Lighting Science.
Jönköping University, School of Engineering, JTH, Civil Engineering and Lighting Science.ORCID iD: 0000-0003-4216-9165
2020 (English)In: Proceedings of the 37th International Conference of CIB W78, Sao Paulo - online, Brazil, 18-20 August, 2020, p. 248-265Conference paper, Published paper (Refereed)
Abstract [en]

Easy and solid information exchange constitutes an important part in BIM-based projects. To conduct reliable simulations and optimizations, information about products, such as luminaries, windows, doors, etc., need to be provided by the manufacturing industries to the building designers at the early design stage. Several studies and ongoing researches presented the Semantic Web (SW) and Linked Data (LD) technologies as an interoperable and flexible approach for providing product information from the manufacturers during the design and construction stage as well as gathering consumers data to the manufacturers during the operation stage. A systematic literature review has been conducted to investigate benefits and limitations of using the SW and LD technologies for developing product data templates for information exchanges between the building and product manufacturing industries in comparison with the conventional approach of information ex-changes using the openBIM standards. Results show that SW and LD could apport considerable benefits to the information exchange in the building sector. Moreover, SW and LD technologies enable the sharing of products’ information from manufacturers to designers who can search product information, compare different products and take informed design decisions during the very beginning of the design process.

Place, publisher, year, edition, pages
2020. p. 248-265
Series
CIB W78, ISSN 2706-6568 ; 018
Keywords [en]
Product Data Template, Semantic Web, Information Exchange
National Category
Building Technologies
Identifiers
URN: urn:nbn:se:hj:diva-50965DOI: 10.46421/2706-6568.37.2020.paper018OAI: oai:DiVA.org:hj-50965DiVA, id: diva2:1500221
Conference
37th International Conference of CIB W78, Sao Paulo - online, Brazil, 18-20 August
Available from: 2020-11-11 Created: 2020-11-11 Last updated: 2023-08-17Bibliographically approved
In thesis
1. Integration of building product data with BIM – Semantic representation of product data
Open this publication in new window or tab >>Integration of building product data with BIM – Semantic representation of product data
2022 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The adoption and implementation of Building Information Modelling (BIM), as technologies and processes, in the Architecture, Engineering and Construction (AEC) industry marked a significant step forward in advanced digital transformation. One of the distinctive features of the AEC industry is that it necessitates a collaborative effort between several actors from different domains to realize building projects effectively. The involved actors employ different BIM platforms and tools that best suit the task they perform. In addition, the actors rely on one another for information to successfully perform their tasks indicating the crucial importance of digital collaboration and information exchanges between the involved actors.

Building product manufacturers are among the important actors in the AEC industry and digitizing how building product data is shared and exchanged is an essential factor for the success of digital BIM processes. The Industry Foundation Classes (IFC) is a widely used data schema for representing building information in a neutral format to support information exchanges between different digital tools. Currently, IFC is supported by several BIM applications employed in the industry and can successfully exchange geometric information of a product.

However, the IFC data schema does not cover explicit semantic definitions for domain-specific, innovative or multifunctional product data descriptions, making semantic enrichment of product data difficult. In addition, semantic queries, consistency checking, reasoning and automated data processing are challenging to apply on the IFC models. Several studies suggest using web-based standards and technologies, including the semantic web, to digitally manage and share information.

Therefore, the purpose of this research is to investigate how the semantic web technologies can support information interoperability and data integration processes between the manufacturing and building industries. As a proof of concept, a prototype is developed to investigate and demonstrate the feasibility of using the semantic web technologies for information exchanges.

The design science research methodology frames the research work presented in this thesis and guides the development and evaluation of the prototype. The prototype is evaluated, with industry representatives, based on product description requirements derived from the research problem and related studies. The outcome demonstrates the feasibility of applying the semantic web technologies in the AEC industry, implying the potential benefits the semantic web could provide in addressing the industry's long-standing information interoperability challenge.

Abstract [sv]

Implementeringen av Byggnads Information Modeller (BIM) har varit en katalysator för digitaliseringen inom samhällsbyggnadssektorn. En av de utmärkande egenskaperna hos samhällsbyggnadssektorn är att det krävs samarbete mellan ett stort antal aktörer, från olika domäner, för att effektivt realisera byggprojekt. De inblandade aktörerna använder oftast olika digitala verktyg, anpassade för de uppgifter aktören utför. De olika aktörerna är också helt beroende av de andra aktörernas information för att framgångsrikt kunna utföra sina uppgifter. Detta gör att ett väl fungerande digitalt samarbete och informationsutbyte är av avgörande betydelse.

Då byggnader och anläggningar till stor del består av produkter från tillverkningsindustrin så är tillverkarna en kategori viktiga aktörer inom samhällsbyggnadssektorn och digitaliseringen av produktdata är en väsentlig faktor för digitaliseringen av sektorn. Informationsutbyten mellan aktörerna sker idag främst med hjälp av Industry Foundation Classes (IFC).

IFC täcker inte explicita semantiska definitioner för domänspecifika, innovativa eller multifunktionella produktdatabeskrivningar vilket gör det svårt att semantiskt berika produktdata. Dessutom är sökning efter produktdata, med hjälp av semantiska frågor, och automatiserad databehandling utmanande i dagsläget. P g a dessa problem föreslår flera studier att man bör applicera standarder och tekniker framtagna för WWW, inklusive teknologier från området semantiska nätverk, för att digitalt hantera och dela information.

Syftet med denna forskning är att undersöka hur dessa teknologier kan stödja informationsutbytet mellan tillverknings- och byggindustrin.

Forskningen utfördes enligt forskningsmetodiken Design Science Research (DSR). En prototyp har implementerats. Prototypens funktionalitet och användbarhet utvärderades tillsammans med branschrepresentanter. Dessutom utvärderades prototypen med hjälp av en kravlista som utformades med hjälp av vetenskaplig litteratur inom området. Resultaten från utvärderingen visar att teknologin från området semantiska nätverk kan användas för att informationsutbyten av produktdata mellan tillverknings- och byggindustrier. Resultaten visar också att denna teknologi kan lösa vissa av de problem som länge varit en utmaning i samhällsbyggnadssektorn.

Place, publisher, year, edition, pages
Jönköping: Jönköping University, School of Engineering, 2022. p. 59
Series
JTH Dissertation Series ; 067
Keywords
BIM, Information exchange, Product data, Semantic web technologies, Linked Data, Design science, BIM, Informationsutbyte, Produktdata, Semantiska Nätverk, Länkad Data, DSR
National Category
Building Technologies
Identifiers
urn:nbn:se:hj:diva-56005 (URN)978-91-87289-72-9 (ISBN)
Presentation
2022-04-01, Gjuterisalen, E1405, Tekniska Högskolan, Jönköping University, Jönköping, 10:00 (English)
Opponent
Supervisors
Funder
Knowledge Foundation
Available from: 2022-03-07 Created: 2022-03-07 Last updated: 2023-08-17Bibliographically approved

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Kebede, Rehel ZelekeMoscati, AnnikaJohansson, Peter

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