Abstract
<title>Abstract</title> <p>Accelerating the discovery of novel electronic materials is crucial for advancing next-generation functional devices. However, the digital discovery ecosystem remains fragmented across a wide variety of siloed databases and machine learning models. To address this, we introduce the Electronic Materials Ontology System (EMOS), an open-source framework that unifies these discovery tools into modular information units under a standardised data contract and a shared property dictionary. This architecture enables researchers to seamlessly construct custom workflows, combining multiple components into automated, end-to-end device design pipelines. In its current version, EMOS integrates six inorganic databases encompassing 1.75 million compounds, alongside five property prediction and seven generative models seamlessly interconnected via 254 canonical property entries. Additionally, EMOS features a role-separated contribution mechanism that drives community growth through effortless framework extensibility. Four case studies demonstrate the platform's versatility across key workflows in electronic materials discovery.</p>