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One of the grand challenges discussed during the Dagstuhl Seminar "KnowledgeGraphs: New Directions for Knowledge Representation on the Semantic Web" anddescribed in its report is that of a: "Public FAIR Knowledge Graph ofEverything: We increasingly see the creation of knowledge graphs that captureinformation about the entirety of a class of entities. [...] This grandchallenge 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 mannerdemocratizing this mass amount of knowledge." Although linked open data (LOD)is one knowledge graph, it is the closest realisation (and probably the onlyone) to a public FAIR Knowledge Graph (KG) of everything. Surely, LOD providesa unique testbed for experimenting and evaluating research hypotheses on openand FAIR KG. One of the most neglected FAIR issues about KGs is their ongoingevolution and long term preservation. We want to investigate this problem, thatis to understand what preserving and supporting the evolution of KGs means andhow these problems can be addressed. Clearly, the problem can be approachedfrom different perspectives and may require the development of differentapproaches, including new theories, ontologies, metrics, strategies,procedures, etc. This document reports a collaborative effort performed by 9teams of students, each guided by a senior researcher as their mentor,attending the International Semantic Web Research School (ISWS 2019). Each teamprovides a different perspective to the problem of knowledge graph evolutionsubstantiated by a set of research questions as the main subject of theirinvestigation. In addition, they provide their working definition for KGpreservation and evolution.

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