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Knowledge Graphs Evolution and Preservation – A Technical Report from ISWS 2019

Abbas, Nacira; Alghamdi, Kholoud; Alinam, Mortaza; Alloatti, Francesca; Amaral, Glenda; Claudia d’Amato; Asprino, Luigi; Beno, Martin; Bensmann, Felix; Biswas, Russa; Cai, Ling; Capshaw, Riley; Carriero, Valentina Anita; Celino, Irene; Dadoun, Amine; Giorgis, Stefano De; Delva, Harm; Domingue, John; Dumontier, Michel; ... mehr


One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is that of a: "Public FAIR Knowledge Graph of Everything: We increasingly see the creation of knowledge graphs that capture information about the entirety of a class of entities. [...] This grand challenge extends this further by asking if we can create a knowledge graph of "everything" ranging from common sense concepts to location based entities. This knowledge graph should be "open to the public" in a FAIR manner democratizing this mass amount of knowledge." Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything. Surely, LOD provides a unique testbed for experimenting and evaluating research hypotheses on open and FAIR KG. One of the most neglected FAIR issues about KGs is their ongoing evolution and long term preservation. We want to investigate this problem, that is to understand what preserving and supporting the evolution of KGs means and how these problems can be addressed. ... mehr

Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2020
Sprache Englisch
Identifikator KITopen-ID: 1000134469
Bemerkung zur Veröffentlichung Technical Report
Externe Relationen Abstract/Volltext
Nachgewiesen in arXiv
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