The global construction industry, critical for infrastructure development, faces an array of complexities, such as dynamic project demands, complex resource management, and strict timelines. This chapter introduces an ontology-based framework aimed at harmonizing data-driven and knowledge-driven approaches to enhance accurate workload prediction and streamline construction capacity management and future prediction. The Construction Capacity Ontology (CCO) encompasses vital elements and processes within construction capacity management, facilitating the seamless fusion of data-driven insights with semantic knowledge representation for precise workload prediction. This framework empowers construction professionals to make informed decisions and adapt swiftly to industry dynamics. The chapter underscores the demand for an integrated approach that harnesses the potential of artificial intelligence and dynamic ontologies. CCO effectively bridges this gap, offering a holistic solution to augment efficiency, adaptability, and agility within the construction sector. The structured ontology engineering methodology, encompassing feasibility studies, kickoff, refinement, and evolution phases, ensures alignment with real-world construction capacity challenges. This chapter introduces the generic framework of CCO, comprising three main modules: (1) the capacity module, (2) the information module, and (3) the external module. It further extends these modules by providing comprehensive concepts, attributes, and their semantic relationships. CCO serves as a foundational step toward the integration of intelligent systems and knowledge bases, promoting system interoperability and efficient information management. It facilitates the seamless sharing, retrieval, and reuse of critical information and domain knowledge, paving the way for more intelligent and adaptive construction capacity management.