Knowledge Provenance (KP) addresses the problem of how to determine the validity and origin of web information by means of modelling and maintaining information sources, information dependencies, and trust structures. Four levels of KP have been identified: (1) static KP develops the fundamental concepts for KP, and focuses on provenance of static and certain information; (2) dynamic KP considers how the validity of information may change over time; (3) uncertainty-oriented KP considers uncertain truth values and uncertain trust relationships; (4) judgement-based KP focuses on social processes necessary to support KP. This paper presents the fundamental concepts and models of KP by providing motivating scenarios, KP ontologies and examples regarding how to use KP.