Ontology and Knowledge Graph (TTL) for Knowledge Graph–based Architecture for Neighborhood Renovation Decision Support Integrating Life Cycle Costing and Life Cycle Assessment

This dataset accompanies the manuscript “Knowledge Graph–based Architecture for Neighborhood Renovation Decision Support Integrating Life Cycle Costing and Life Cycle Assessment.” It contains the modular ontology, the instantiated Knowledge Graph (KG), example SPARQL queries, and the System Advisor Model (SAM) file used in the Technical University of Crete (TUC) campus case study. The KG underpins a neighborhood-scale KG–DT decision-support workflow that integrates Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) indicators with renovation scenarios and real sensor/simulation data. It enables SPARQL queries across 16 intervention scenarios (PV and PV+Battery), retrieving environmental and economic KPIs in a reproducible and extensible way. The ontology reuses elements from Brick, SAREF (Core, 4City, 4Energy), and a KPI model, providing an interoperable schema for representing: Neighborhoods, buildings, and infrastructure Energy assets (PV, batteries, inverters) Sensors and time-series data (linked via UUIDs in a live database) LCA/LCC scenario results and KPIs The dataset is intended to support transparent, reproducible, and scalable analyses at neighborhood level, and can be readily extended to other building clusters, datasets, or intervention types.