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https://ceur-ws.org/Vol-3225/xpreface.pdf
Preface of MEPDaW 2021: Managing the
Evolution and Preservation of the Data Web
Fabrizio Orlandi1 , Damien Graux2 ,
Julio Cesar dos Reis3 , and Maria-Esther Vidal4
ADAPT SFI Centre, Trinity College Dublin, Ireland. orlandif@tcd.ie
1
Inria, Université Côte d’Azur, CNRS, I3S, France. damien.graux@inria.fr
2
3
Inst. of Computing, Univ. of Campinas (UNICAMP), Brazil. jreis@ic.unicamp.br
4
Technische Informationsbibliothek (TIB), Germany. mvidal@umiacs.umd.edu
Abstract. The MEPDaW workshop series targets one of the emerging
and fundamental problems of the Web, specifically the management and
preservation of evolving knowledge graphs. During the past seven years,
the workshop series has been gathering a community of researchers and
practitioners around these challenges. To date, the series has successfully
published more than 35 articles allowing more than 50 individual authors
to present and share their ideas.
This 7th edition, virtually co-located with the International Semantic
Web Conference (ISWC 2021), gathered the community around six re-
search publications and one invited keynote presentation. The event took
place online on the 25th of October, 2021.
Keywords: Web Data evolution · Data preservation, provenance and
lineage · Temporal & Evolving Knowledge Graphs · RDF archiving and
versioning
Managing the Evolution and Preservation of the Data Web
There is a vast and rapidly increasing quantity of scientific, corporate, gov-
ernment, and crowd-sourced data openly published on the Web. Open Data
plays a catalyst role in the way structured information is exploited on a large
scale. A traditional view of digitally preserving these datasets by “pickling and
locking them away” for future use, like groceries, conflicts with their evolution.
There are several approaches and frameworks (e.g. Linked Data Stack [7], Pool-
Party Suite1 , Metaphactory2 , etc.) targeted at managing the life-cycle of the
Data Web. More specifically, these solutions are expected to tackle major issues
such as the synchronisation problem (monitoring changes) [9,14], the curation
problem (repairing data imperfections) [11], the appraisal problem (assessing
the quality of a dataset) [8], the citation problem (how to cite a particular ver-
sion of a dataset) [12], the archiving problem (retrieving a specific version of a
1
https://semantic-web.com/poolparty-semantic-suite/
2
https://metaphacts.com/
Copyright © 2021 for this paper by its authors. Use permitted under Creative Com-
mons License Attribution 4.0 International (CC BY 4.0).
dataset) [10,13], and the sustainability problem (preserving at scale, ensuring
long-term access) [12].
The seventh edition of this workshop was organised for the second time at
the International Semantic Web Conference (ISWC) and followed the structure
of the previous editions. We invited a number of experts in the field of Linked
Data and Data Evolution & Preservation in order to suggest and advise on the
different topics that our workshop covered this year. This year, at ISWC 2022,
we successfully gathered more than 50 participants for our half-day event. In
line with most academic events, this year MEPDaW was held as a virtual event
and we had to re-think the interactions between participants.
MEPDaW Scientific programme
The workshop started with the keynote entitled “How can we fix the Web of
Data?” given by Prof. Katja Hose3 from the Department of Computer Science
of the Aalborg University (Denmark). She initiated her presentation from the
observation that Semantic Web practitioners typically consider the Web of Data
as a static corpus of information always available and unmutable; however, “in
real life settings”, a broad range of problems hits the practitioners such as un-
availability of entire knowledge graphs or dead-links for the associated SPARQL
endpoints. And more generally, the current Semantic Web tools and paradigms
(almost-) completely miss the concept of versioning and provenance of metadata.
During her keynote, Professor Hose highlighted some of the solutions her group
developed to mitigate these problems. She first showed how to keep knowledge
available for continuous and scalable querying. Then, she presented the atten-
dees an approach that enables community-driven updates so that mistakes can
be corrected or missing information can be added. And finally, she described
how learning from RDF archiving can be done using solutions to better support
evolving knowledge graphs. Overall, this keynote [2] gave the audience in-depth
details on practical (and industrial) use cases backed by cutting-edge research
techniques.
The first article presented dealt with an approach which helps SPARQL
practitioners to know which SPARQL endpoints has been updated when they
run complex pipelines relying on several RDF sources [1]. It was followed by [5]
which proposes the use of a visual interface to explore and fix multi-dimensional
metadata bases, in particular she showed how she will apply these ideas in the
context of popular music data during her PhD. Finally, the first paper-session
ended-up with the presentation of TrieDF [3]: a solution to index metadata-
augmented RDF datasets inspired by the trie data structure.
The second session started with an industrial talk from J. Fernández who
described how clinical data standards at Roche benefit from RDF version man-
agement.The next effort [6] focused on provided the audience with several ap-
plication use-cases where our the efforts of our community could contribute to.
3
http://people.cs.aau.dk/~khose/About_me.html
Finally, the last article of the workshop described UpLOD [4], a tool to repair
broken links in the linked-open data.
Organizing Committee
– Fabrizio Orlandi, ADAPT SFI Centre, Trinity College Dublin, Ireland
– Damien Graux, Inria, Université Côte d’Azur, CNRS, I3S, France
– Julio Cesar dos Reis, Inst. of Computing, Univ. of Campinas, Brazil
– Maria-Esther Vidal, TIB, Hannover, Germany
Advisory Board
– Philippe Cudré-Mauroux, eXascale Infolab, Univ. of Fribourg, Switzerland
– Jeremy Debattista, TopQuadrant Inc
– Javier D. Fernández, Information Architect at Roche, Switzerland
– Fabien Gandon, Inria, Université Côte d’Azur, CNRS, I3S, France
– Axel Polleres, Vienna University of Economics and Business, Austria
Programme Committee
– Natanael Arndt, Leipzig University, Germany
– Ioannis Chrysakis, FORTH-ICS, Greece; and Ghent Univ. - imec, Belgium
– Pieter Colpaert, Ghent University, Belgium
– Marcos Da Silveira, LIST, Luxembourg
– Christophe Debruyne, Trinity College Dublin, Ireland
– Javier D. Fernández, F. Hoffmann-La Roche AG, Switzerland
– Luis Ibanez-Gonzalez, University of Southampton, England
– Pavel Klinov, Stardog Union, Germany
– Pierre Maillot, Inria, France
– Harshvardhan J. Pandit, ADAPT Centre - Trinity College Dublin, Ireland
– George Papastefanatos, IMIS / RC “Athena”, Greece
– Iliana Petrova, Inria, France
– Fatiha Saïs, LRI & Paris Saclay University, France
– Ruben Taelman, Ghent University – imec, Belgium
Acknowledgements
We would like to thank all the authors, reviewers, committee members and the
speakers for their contributions, support and commitment.
These research activities were conducted with the financial support of the Euro-
pean Union’s Horizon 2020 research and innovation programme under the Marie
Skłodowska-Curie Grant Agreement No. 713567 at the ADAPT SFI Research
Centre at Trinity College Dublin. The ADAPT SFI Centre for Digital Media
Technology is funded by Science Foundation Ireland through the SFI Research
Centres Programme and is co-funded under the European Regional Development
Fund (ERDF) through Grant #13/RC/2106_P2.
Articles presented at MEPDaW 2021
1. Graux, D., Orlandi, F., O’Sullivan, D.: De-icing federated SPARQL pipelines: a
method for assessing the “freshness” of result sets. In: Proceedings of the 7th Work-
shop on Managing the Evolution and Preservation of the Data Web (MEPDaW)
(2021)
2. Hose, K.: Knowledge Graph (R)Evolution and the Web of Data. In: Proceedings of
the 7th Workshop on Managing the Evolution and Preservation of the Data Web
(MEPDaW) (2021)
3. Pelgrin, O., Galárraga, L., Hose, K.: TrieDF: Efficient in-memory indexing for
metadata-augmented RDF. In: Proceedings of the 7th Workshop on Managing the
Evolution and Preservation of the Data Web (MEPDaW) (2021)
4. Regino, A., de Jesus Pontes Monteiro, E., dos Santos, A.C., Reis, J.C.D.: UpLOD: A
tool for inconsistent links repairment in the LOD. In: Proceedings of the 7th Work-
shop on Managing the Evolution and Preservation of the Data Web (MEPDaW)
(2021)
5. Tikat, M., Winckler, M., Buffa, M.: Interactive multimedia visualization for explor-
ing and fixing a multi-dimensional metadata base of popular musics. In: Proceedings
of the 7th Workshop on Managing the Evolution and Preservation of the Data Web
(MEPDaW) (2021)
6. Waterman, K.K.: Don’t stop thinking about tomorrow: Use cases demonstrating
the asymmetric impact of contextual temporal links in knowledge graph evolution.
In: Proceedings of the 7th Workshop on Managing the Evolution and Preservation
of the Data Web (MEPDaW) (2021)
References
7. Auer, S., Bühmann, L., Dirschl, C., Erling, O., Hausenblas, M., Isele, R., Lehmann,
J., Martin, M., Mendes, P.N., Van Nuffelen, B., et al.: Managing the life-cycle of
linked data with the LOD2 stack. In: International semantic Web conference. pp.
1–16. Springer (2012)
8. Debattista, J., Auer, S., Lange, C.: Luzzu—a methodology and framework for linked
data quality assessment. J. Data and Information Quality 8(1) (Oct 2016)
9. Endris, K.M., Faisal, S., Orlandi, F., Auer, S., Scerri, S.: Interest-based RDF update
propagation. In: Proceedings of the 14th International Conference on The Semantic
Web - ISWC 2015 - Volume 9366. p. 513–529. Springer-Verlag, Berlin, Heidelberg
(2015)
10. Fernández, J.D., Polleres, A., Umbrich, J.: Towards efficient archiving of dynamic
linked open data. In: MEPDaW workshop at ESWC’15 (2015)
11. Freitas, A., Curry, E.: Big data curation. In: New Horizons for a Data-Driven
Economy (2016)
12. Gleim, L., Decker, S.: Timestamped URLs as persistent identifiers. In: Proceedings
of the 6th Workshop on Managing the Evolution and Preservation of the Data Web
(MEPDaW) (2020)
13. Pelgrin, O., Galárraga, L., Hose, K.: Towards fully-fledged archiving for RDF
datasets. Semantic Web (Preprint), 1–24 (2020)
14. Tasnim, M., Collarana, D., Graux, D., Orlandi, F., Vidal, M.E.: Summarizing entity
temporal evolution in knowledge graphs. In: Companion Proceedings of The 2019
World Wide Web Conference. p. 961–965. WWW ’19, Association for Computing
Machinery, New York, NY, USA (2019)