Effective knowledge management and data orchestration demands more than data aggregation. It requires semantic coherence across diverse sources. The Ontology Pipeline is a framework for building a semantic knowledge infrastructure, with iterative steps to guide the process. From controlled vocabularies and taxonomies through thesauri and formal ontologies to rich knowledge graphs, the Ontology Pipeline creates a healthy knowledge ecosystem bringing together disparate data, under a shared semantic model. This framework resolves semantic heterogeneity, enhances interoperability, and unlocks advanced analytics and knowledge discovery. Through practical use cases, from streamlined data integration to empowered decision making, this session will demonstrate how the Ontology Pipeline transforms fragmented information into semantically rich, high-value insights. The presentation covers the pipeline steps: controlled vocabularies, taxonomies, thesauri, formal ontologies, and knowledge graphs, showing how each step contributes to building a robust and interoperable knowledge infrastructure.