Ontology interoperability is one of the complicated issues that restricts the use of ontologies in knowledge graphs (KGs). Different ontologies with conflicting and overlapping concepts make it difficult to design, develop, and deploy an interoperable ontology for downstream tasks. We propose an ecosystem for ontology interoperability. The ecosystem employs three state-of-the-art semantic techniques in different phases of the ontology engineering (OE) life cycle: ontology design patterns (ODPs) in the design phase, ontology matching and versioning (OM\&OV) in the develop phase, and data-driven ontology validation (DOVA) in the deploy phase, to achieve better ontology interoperability and data integration in real-world applications. A case study of sensor observation in the building domain validates the usefulness of the proposed ecosystem.

翻译：本体互操作性（Ontology interoperability）是制约本体在知识图谱（KGs）中应用的复杂难题之一。不同本体间存在冲突与重叠的概念，这为下游任务中可互操作本体的设计、开发与部署带来了困难。本文提出一种本体互操作性生态系统。该生态系统在本体工程（OE）生命周期的不同阶段采用三种先进的语义技术：设计阶段的本体设计模式（ODPs）、开发阶段的本体匹配与版本管理（OM&OV），以及部署阶段的数据驱动本体验证（DOVA），以期在实际应用中实现更优的本体互操作性与数据集成。通过建筑领域传感器观测的案例研究，验证了所提生态系统的有效性。