Provenance-Aware Knowledge Representation: A Survey of Data Models and Contextualized Knowledge Graphs

Expressing machine-interpretable statements in the form of subject-predicate-object triples is a well-established practice for capturing semantics of structured data. However, the standard used for representing these triples, RDF, inherently lacks the mechanism to attach provenance data, which would...

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Veröffentlicht in:	Data Science and Engineering Jg. 5; H. 3; S. 293 - 316
Hauptverfasser:	Sikos, Leslie F., Philp, Dean
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2020 Springer Springer Nature B.V SpringerOpen
Schlagworte:	Algorithm Analysis and Problem Complexity Annotations Artificial Intelligence Chemistry and Earth Sciences Computer Science Contextual knowledge graph Data Mining and Knowledge Discovery Data models Database Management Graphical representations Knowledge bases (artificial intelligence) Knowledge representation Physics RDF data model RDF provenance RDF reification alternatives Semantics Statistics for Engineering Surveys Systems and Data Security Web applications Australia New York Israel Contextual knowledge graph RDF data model RDF provenance RDF reification alternatives
ISSN:	2364-1185, 2364-1541
Online-Zugang:	Volltext
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