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

Nacira Abbas (1) , Kholoud Alghamdi (2) , Mortaza Alinam (3) , Francesca Alloatti (4) , Glenda Amaral (5) , Martin Beno (6) , Felix Bensmann (7) , Claudia d'Amato (8) , Luigi Asprino (9) , Russa Biswas (10) , Ling Cai (11) , Riley Capshaw (12) , Valentina Anita Carriero (9) , Irene Celino (13) , Amine Dadoun (14) , Stefano de Giorgis (15) , Harm Delva (16) , John Domingue (17) , Michel Dumontier (18) , Vincent Emonet (19) , Marieke van Erp (20) , Paola Espinoza Arias (21) , Omaima Fallatah (22) , Sebastián Ferrada (23) , Marc Gallofré Ocaña (24) , Michalis Georgiou (25) , Genet Asefa Gesese (10) , Frances Gillis-Webber (26) , Francesca Giovannetti (15) , Marìa Granados Buey (27) , Ismail Harrando (14) , Ivan Heibi (15) , Vitor Horta (28) , Laurine Huber (1) , Federico Igne (29) , Mohamad Yaser Jaradeh (30) , Neha Keshan (31) , Aneta Koleva (32, 33) , Bilal Koteich (34) , Kabul Kurniawan (35) , Mengya Liu (2) , Chuangtao Ma (36) , Lientje Maas (37) , Martin Mansfield (38, 39) , Fabio Mariani (15) , Eleonora Marzi (15) , Sepideh Mesbah (40) , Maheshkumar Mistry (41) , Alba Catalina Morales Tirado (42) , Anna Nguyen (43) , Viet Bach Nguyen (44) , Allard Oelen (45) , Valentina Pasqual (15) , Heiko Paulheim (46) , Axel Polleres (6) , Margherita Porena (47) , Jan Portisch (46) , Valentina Presutti (9) , Kader Pustu-Iren (30) , Ariam Rivas Mendez (30) , Soheil Roshankish (48) , Sebastian Rudolph (32) , Harald Sack (49) , Ahmad Sakor (30) , Jaime Salas (50) , Thomas Schleider (14) , Meilin Shi (11) , Gianmarco Spinaci (15) , Chang Sun (18) , Tabea Tietz (51) , Molka Tounsi Dhouib (52) , Alessandro Umbrico (53) , Wouter van Den Berg (54) , Weiqin Xu (55)
1 ORPAILLEUR - Knowledge representation, reasonning
2 University of Southampton
3 UniGe - Università degli studi di Genova = University of Genoa
4 UNITO - Università degli studi di Torino = University of Turin
5 Free University of Bozen-Bolzano
6 Vienna University of Economics and Business
7 GESIS - Leibniz-Institute for the Social Sciences [Mannheim]
8 Polytechnic University of Bari / Politecnico di Bari
9 ST Lab - Semantic Technology Laboratory (CNR / ISTC)
10 FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
11 UC Santa Barbara - University of California [Santa Barbara]
12 LIU - Linköping University
13 CEFRIEL
14 Eurecom [Sophia Antipolis]
15 UNIBO - Alma Mater Studiorum Università di Bologna = University of Bologna
16 Ghent University - Research Group on Combinatorial Algorithms and Algorithmic Graph Theory
17 KMi - Knowledge Media Institute
18 Maastricht University [Maastricht]
19 Institute of Data Science [Maastricht]
20 KNAW Humanities Cluster
21 UPM - Universidad Politécnica de Madrid
22 University of Sheffield [Sheffield]
23 IMFD - Millennium Institute for Foundational Research on Data
24 UiB - University of Bergen
25 University of Huddersfield
26 University of Cape Town
27 NTT DATA
28 DCU - Dublin City University [Dublin]
29 University of Oxford
30 L3S Research Center [Hannover]
31 RPI - Rensselaer Polytechnic Institute
32 TU Dresden - Technische Universität Dresden = Dresden University of Technology
33 Siemens AG [Munich]
34 Institut de Recherche de l'École navale
35 TU Wien - Vienna University of Technology
36 ELTE - Eötvös Loránd University
37 Universiteit Utrecht / Utrecht University [Utrecht]
38 University of Liverpool
39 CSols Ltd.
40 TU Delft - Delft University of Technology
41 University of Koblenz-Landau
42 OU - The Open University [Milton Keynes]
43 KIT - Karlsruhe Institute of Technology
44 VSE - Prague University of Economics and Business
45 Leibniz Universität Hannover=Leibniz University Hannover
46 Universität Mannheim
47 ICCD - Istituto Centrale per il Catalogo e la Documentazione
48 Scuola Universitaria Professionale della Svizzera italiana
49 AIFB - Institut für Angewandte Informatik und Formale Beschreibungsverfahren [Karlsruhe]
50 UCHILE - Universidad de Chile = University of Chile [Santiago]
51 FIZ Karlsruhe - Leibniz-Institut für Informationsinfrastruktur
52 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
53 ICST-CNR - Institute of Cognitive Sciences and Technologies
54 TNO - The Netherlands Organisation for Applied Scientific Research
55 Université Gustave Eiffel
Nacira Abbas
Irene Celino
  • Function : Author
Michel Dumontier
Vincent Emonet
Marìa Granados Buey
  • Function : Author
Bilal Koteich
Heiko Paulheim

Abstract

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. Clearly, the problem can be approached from different perspectives and may require the development of different approaches, including new theories, ontologies, metrics, strategies, procedures, etc. This document reports a collaborative effort performed by 9 teams of students, each guided by a senior researcher as their mentor, attending the International Semantic Web Research School (ISWS 2019). Each team provides a different perspective to the problem of knowledge graph evolution substantiated by a set of research questions as the main subject of their investigation. In addition, they provide their working definition for KG preservation and evolution.

Dates and versions

hal-03111661 , version 1 (15-01-2021)

Identifiers

Cite

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, et al.. Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019. 2021. ⟨hal-03111661⟩
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