Landi, Filippo and Friedman, Noémi and Chiachio-Ruano, Juan and Stankovski, Vlado and Stamoulis, George and Osmokrovic, Igor and Cioni, Raffaella and Malovrh Rebec, Katja and Rakic, Branimir and Peter Djungha, John and Alvarez Trujillo, Jairis and Slobodnik, Jan and Croce, Pietro (2025) Digital Building Logbooks – the BUILDCHAIN vision. IOP CONFERENCE SERIES: EARTH AND ENVIRONMENTAL SCIENCE, 1546 (1). ISSN 1755-1307 10.1088/1755-1315/1546/1/012093

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Abstract

The BUILDCHAIN vision is to build a Knowledge Base, that can be used to trace all activities related to the overall life-cycle of buildings. Since various directives of the EU are related to sustainability, resilience and energy efficiency of building stock, it is necessary to provide a marketplace where various actors can share their offers, including their quality certificates and credentials, and where it would be possible to log and trace every information, activity and change, and use the knowledge to improve sustainability. The project extends the concept of Digital Building LogBook (DBL) with several available and novel data, tools and functionalities, by the help of a Decentralized Knowledge Graph (DKG), an open source blockchain based solution. Specific building-related ontologies are included in the DKG, so that the whole knowledge base about the life-cycle of the building can be logged and by that continuously updated, providing mechanisms and interfaces for the relevant stakeholders, to publish, trace, share, tokenize, end even trade models in a market economy. Such information integration can support decisions on optimal adaptation and intervention planning strategies for large populations of buildings. The DBL is integrated with several new functionalities demonstrated on a dozen of use cases via easily accessible and publicly available APIs. The new DBL based applications are now tested on pilot buildings focusing on historical and critical buildings, and on building stocks. The project targets a smarter and more sustainable built environment of the EU providing new market and new value creation.

Item Type:	Article
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Artificial Intelligence Laboratory
SWORD Depositor:	MTMT Injector
Depositing User:	MTMT Injector
Date Deposited:	06 Jan 2026 08:58
Last Modified:	06 Jan 2026 08:58
URI:	https://eprints.sztaki.hu/id/eprint/11016

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