Abstract
Knowledge Provenance is proposed to address the problem about how to determine the validity and origin of information/knowledge on the web by means of modeling and maintaining information source and dependency, as well as trust structure. Four levels of Knowledge Provenance are introduced: Static, where the validity of knowledge does not change over time; Dynamic, where validity may change over time; Uncertain, where the truth values and trust relation are uncertain; and Judgmental: where the societal processes for determining certainty of knowledge are defined. An ontology, semantics and implementation using RDFS is provided for Static Knowledge Provenance.
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© 2004 Springer-Verlag Berlin Heidelberg
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Fox, M.S., Huang, J. (2004). Knowledge Provenance. In: Tawfik, A.Y., Goodwin, S.D. (eds) Advances in Artificial Intelligence. Canadian AI 2004. Lecture Notes in Computer Science(), vol 3060. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24840-8_47
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DOI: https://doi.org/10.1007/978-3-540-24840-8_47
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