What question did this study set out to answer?

To propose a hybrid LLM–Knowledge Graph architecture for enhancing information retrieval in smart buildings.

May 6, 2026SHILAP Revista de lepidopterologíaOpen Access

A Hybrid LLM–Knowledge Graph Architecture for Information Retrieval in Smart Buildings

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To propose a hybrid LLM–Knowledge Graph architecture for enhancing information retrieval in smart buildings.
Utilized Design Science Research methodology to implement two iterations of contrasting knowledge representation paradigms.
Evaluated Resource Description Framework (RDF) and Labeled Property Graph (LPG) implementations of the architecture.
Integrated IoT data with knowledge structures for data-driven decision-making.
Enhanced information retrieval capabilities using a Knowledge Graph.
Improved energy efficiency and security outcomes in smart buildings through real-time IoT data integration.
Evaluated effectiveness of RDF versus LPG implementations.

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Implication

Demonstrates improved information retrieval and energy efficiency in smart buildings using a Knowledge Graph approach, highlighting security and IoT integration.

Cite This Study

Laurenzi et al. (2026) studied this question.

synapsesocial.com/papers/69fa983604f884e66b5320e7 https://doi.org/10.7250/csimq.2026-46.05

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Implication

Demonstrates improved information retrieval and energy efficiency in smart buildings using a Knowledge Graph approach, highlighting security and IoT integration.

A Hybrid LLM–Knowledge Graph Architecture for Information Retrieval in Smart Buildings

Key Points

Discussion

Implication

Cite This Study

A Hybrid LLM–Knowledge Graph Architecture for Information Retrieval in Smart Buildings

Key Points

Discussion

Implication

Cite This Study

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