%0 Journal Article %1 Abbas2020-ni %A Abbas, Nacira %A Alghamdi, Kholoud %A Alinam, Mortaza %A Alloatti, Francesca %A Amaral, Glenda %A d'Amato, Claudia %A Asprino, Luigi %A Beno, Martin %A Bensmann, Felix %A Biswas, Russa %A Cai, Ling %A Capshaw, Riley %A Carriero, Valentina Anita %A Celino, Irene %A Dadoun, Amine %A De Giorgis, Stefano %A Delva, Harm %A Domingue, John %A Dumontier, Michel %A Emonet, Vincent %A van Erp, Marieke %A Arias, Paola Espinoza %A Fallatah, Omaima %A Ferrada, Sebastián %A Ocaña, Marc Gallofré %A Georgiou, Michalis %A Gesese, Genet Asefa %A Gillis-Webber, Frances %A Giovannetti, Francesca %A Buey, Mar\`ıa Granados %A Harrando, Ismail %A Heibi, Ivan %A Horta, Vitor %A Huber, Laurine %A Igne, Federico %A Jaradeh, Mohamad Yaser %A Keshan, Neha %A Koleva, Aneta %A Koteich, Bilal %A Kurniawan, Kabul %A Liu, Mengya %A Ma, Chuangtao %A Maas, Lientje %A Mansfield, Martin %A Mariani, Fabio %A Marzi, Eleonora %A Mesbah, Sepideh %A Mistry, Maheshkumar %A Tirado, Alba Catalina Morales %A Nguyen, Anna %A Nguyen, Viet Bach %A Oelen, Allard %A Pasqual, Valentina %A Paulheim, Heiko %A Polleres, Axel %A Porena, Margherita %A Portisch, Jan %A Presutti, Valentina %A Pustu-Iren, Kader %A Mendez, Ariam Rivas %A Roshankish, Soheil %A Rudolph, Sebastian %A Sack, Harald %A Sakor, Ahmad %A Salas, Jaime %A Schleider, Thomas %A Shi, Meilin %A Spinaci, Gianmarco %A Sun, Chang %A Tietz, Tabea %A Dhouib, Molka Tounsi %A Umbrico, Alessandro %A van den Berg, Wouter %A Xu, Weiqin %D 2020 %I arXiv %K topic_lifescience %T Knowledge Graphs evolution and preservation -- A technical report from ISWS 2019 %X 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.

@article{Abbas2020-ni, 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.}, added-at = {2024-09-10T11:56:37.000+0200}, author = {Abbas, Nacira and Alghamdi, Kholoud and Alinam, Mortaza and Alloatti, Francesca and Amaral, Glenda and d'Amato, Claudia and Asprino, Luigi and Beno, Martin and Bensmann, Felix and Biswas, Russa and Cai, Ling and Capshaw, Riley and Carriero, Valentina Anita and Celino, Irene and Dadoun, Amine and De Giorgis, Stefano and Delva, Harm and Domingue, John and Dumontier, Michel and Emonet, Vincent and van Erp, Marieke and Arias, Paola Espinoza and Fallatah, Omaima and Ferrada, Sebasti{\'a}n and Oca{\~n}a, Marc Gallofr{\'e} and Georgiou, Michalis and Gesese, Genet Asefa and Gillis-Webber, Frances and Giovannetti, Francesca and Buey, Mar{\`\i}a Granados and Harrando, Ismail and Heibi, Ivan and Horta, Vitor and Huber, Laurine and Igne, Federico and Jaradeh, Mohamad Yaser and Keshan, Neha and Koleva, Aneta and Koteich, Bilal and Kurniawan, Kabul and Liu, Mengya and Ma, Chuangtao and Maas, Lientje and Mansfield, Martin and Mariani, Fabio and Marzi, Eleonora and Mesbah, Sepideh and Mistry, Maheshkumar and Tirado, Alba Catalina Morales and Nguyen, Anna and Nguyen, Viet Bach and Oelen, Allard and Pasqual, Valentina and Paulheim, Heiko and Polleres, Axel and Porena, Margherita and Portisch, Jan and Presutti, Valentina and Pustu-Iren, Kader and Mendez, Ariam Rivas and Roshankish, Soheil and Rudolph, Sebastian and Sack, Harald and Sakor, Ahmad and Salas, Jaime and Schleider, Thomas and Shi, Meilin and Spinaci, Gianmarco and Sun, Chang and Tietz, Tabea and Dhouib, Molka Tounsi and Umbrico, Alessandro and van den Berg, Wouter and Xu, Weiqin}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2e7e0cf78d4bca2f4211035ba57006550/scadsfct}, interhash = {e167f2c36caaf8bd07d95d7d7b9f1c1c}, intrahash = {e7e0cf78d4bca2f4211035ba57006550}, keywords = {topic_lifescience}, publisher = {arXiv}, timestamp = {2024-09-10T14:02:01.000+0200}, title = {Knowledge Graphs evolution and preservation -- A technical report from {ISWS} 2019}, year = 2020 }