BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMs
One of the key challenges of Energy Management and Information Systems in buildings is related to the lack of interoperability, due to the absence of standardization of the underlying data models. In recent years, there has been a growing interest in using ontology-based metadata models to address t...
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Elsevier
2025-05-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025000883 |
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| author | Marco Perini Daniele Antonucci Rocco Giudice Marco Savino Piscitelli Alfonso Capozzoli |
| author_facet | Marco Perini Daniele Antonucci Rocco Giudice Marco Savino Piscitelli Alfonso Capozzoli |
| author_sort | Marco Perini |
| collection | DOAJ |
| description | One of the key challenges of Energy Management and Information Systems in buildings is related to the lack of interoperability, due to the absence of standardization of the underlying data models. In recent years, there has been a growing interest in using ontology-based metadata models to address this issue, as they offer a structured approach to organize and share information across diverse systems (e.g. Brick ontology). However, the creation of ontology-based metadata models is often a labor-intensive task that requires specific domain expertise, hindering the practical use of such data models. For this reason, in this work the BrickLLM Python library is introduced, which addresses this issue by generating Brick-compliant Resource Description Framework graphs through Large Language Models, automating the process of converting natural language building descriptions into machine-readable metadata. The library supports both cloud-based APIs (e.g., OpenAI, Anthropic, Fireworks AI), local models (e.g. LLaMa3.2, etc.) and evenfine-tuned ones. This paper explores the architecture, key functionalities, and practical applications of BrickLLM, showcasing its potential impact on the future of building systems monitoring and automation. |
| format | Article |
| id | doaj-art-b3cd8aadb9b6438b8c0a6b27fbb76e83 |
| institution | OA Journals |
| issn | 2352-7110 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj-art-b3cd8aadb9b6438b8c0a6b27fbb76e832025-08-20T02:30:10ZengElsevierSoftwareX2352-71102025-05-013010212110.1016/j.softx.2025.102121BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMsMarco Perini0Daniele Antonucci1Rocco Giudice2Marco Savino Piscitelli3Alfonso Capozzoli4Institute for Renewable Energy, Eurac Research, 39100 Bozen/Bolzano, ItalyInstitute for Renewable Energy, Eurac Research, 39100 Bozen/Bolzano, ItalyDepartment of Energy “Galileo Ferraris”, TEBE Research Group, BAEDA Lab, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, 10129, ItalyDepartment of Energy “Galileo Ferraris”, TEBE Research Group, BAEDA Lab, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, 10129, Italy; Corresponding author.Department of Energy “Galileo Ferraris”, TEBE Research Group, BAEDA Lab, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, 10129, ItalyOne of the key challenges of Energy Management and Information Systems in buildings is related to the lack of interoperability, due to the absence of standardization of the underlying data models. In recent years, there has been a growing interest in using ontology-based metadata models to address this issue, as they offer a structured approach to organize and share information across diverse systems (e.g. Brick ontology). However, the creation of ontology-based metadata models is often a labor-intensive task that requires specific domain expertise, hindering the practical use of such data models. For this reason, in this work the BrickLLM Python library is introduced, which addresses this issue by generating Brick-compliant Resource Description Framework graphs through Large Language Models, automating the process of converting natural language building descriptions into machine-readable metadata. The library supports both cloud-based APIs (e.g., OpenAI, Anthropic, Fireworks AI), local models (e.g. LLaMa3.2, etc.) and evenfine-tuned ones. This paper explores the architecture, key functionalities, and practical applications of BrickLLM, showcasing its potential impact on the future of building systems monitoring and automation.http://www.sciencedirect.com/science/article/pii/S2352711025000883BrickRDFLarge Language ModelsPortabilityEnergy Management and Information Systems |
| spellingShingle | Marco Perini Daniele Antonucci Rocco Giudice Marco Savino Piscitelli Alfonso Capozzoli BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMs SoftwareX Brick RDF Large Language Models Portability Energy Management and Information Systems |
| title | BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMs |
| title_full | BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMs |
| title_fullStr | BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMs |
| title_full_unstemmed | BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMs |
| title_short | BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMs |
| title_sort | brickllm a python library for generating brick compliant rdf graphs using llms |
| topic | Brick RDF Large Language Models Portability Energy Management and Information Systems |
| url | http://www.sciencedirect.com/science/article/pii/S2352711025000883 |
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