A core ontology for modeling life cycle sustainability assessment on the Semantic Web with Accompanying Database

To enable and support the uptake of semantic ontologies, we present a core ontology developed specifically to capture the data relevant for life cycle sustainability assessment. We further demonstrate the utility of the ontology by using it to integrate data relevant to sustainability assessments, such as EXIOBASE and the Yale Stocks and Flow Database to the Semantic Web. These datasets can be accessed by the machine-readable endpoint using SPARQL, a semantic query language.为推动并支撑语义本体（semantic ontologies）的落地应用，本研究提出一款专为捕获生命周期可持续性评估相关数据而开发的核心本体。此外，本研究通过将该本体用于整合可持续性评估相关数据集（如EXIOBASE与耶鲁存量流量数据库（Yale Stocks and Flow Database））并接入语义网（Semantic Web），验证了该本体的实用价值。上述数据集可通过SPARQL（一种语义查询语言）对应的机器可读端点进行访问。