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https://ceur-ws.org/Vol-2112/preface-mepdaw-2018.pdf
Preface of MEPDaW 2018: Managing the Evolution and
Preservation of the Data Web?
Jeremy Debattista1 , Javier D. Fernández2 , Jürgen Umbrich2 , and Maria-Esther Vidal3
1
Adapt Centre, Trinity College Dublin, Ireland
debattij@tcd.ie
2
Vienna University of Economics and Business, Vienna, Austria
{javier.fernandez,juergen.umbrich}@wu.ac.at
3
Technische Informationsbibliothek (TIB)
maria.vidal@tib.eu
The 4th edition of this workshop has targeted one of the emerging and fundamental
problems in the Semantic Web, specifically the preservation of evolving linked datasets.
This topic is of particular relevance to the Semantic Web community since it raises
awareness of the many research challenges for preserving and managing dynamic linked
datasets. Fostering active usage of such evolving datasets requires further research ad-
vances on topics such as storage, synchronisation, change representation and querying
over evolving graphs.
This year, we accepted three papers, we invited a keynote speaker, and we discussed
on future steps of the community, which we describe in brief.
In this year’s contributions we see a focus on the management of data versioning and
the preservation of evolving knowledge. Singh et al. [4] present DELTA-LD, a change
detection mechanisms for linked datasets. DELTA-LD focuses on detecting changes at
both resource level (creation, removal, update, movement, or renewal of a resource) and
triple level (deleting or adding a triple). To do so, the approach considers (i) the extrac-
tion of features from the linked datasets in order to detect changes and identify similar
representations in different versions (i.e. moved resources), and (ii) a classification of
the changes and a representation of the change model using a provided ontology.
Pandit et al. [3] investigate on how to represent changes in consents and activities
regarding the novel General Data Protection Regulation (GDPR). In their position pa-
per, they first discuss the use of PROV to represent the provenance of activities and
ODRL to represent the consent, and identify the influence of consent changes. Then,
they discuss on detecting and representing change in activities and how to link and use
the changes to demonstrate the compliance w.r.t DDPR obligations.
Laajimi et al. [2] focus on evaluating the performance of archiving engines. In par-
ticular, they propose and evaluate the use of the SPARK distributed system to archive
RDF data. Thus, authors represent RDF data and changes in SPARK dataframes, while
archiving queries are resolved via SPARK SQL. Then, the performance of different ver-
sioning approaches (e.g. fully materialized version versus representing only the chang-
ing triples in each version) are evaluated, with particular attention to measuring the
different performance of star- and chain queries.
?
Joint proceedings are publicly available in [1].
2 MEPDaW organizers
Furthermore, in this workshop, Miel Vander Sande keynote4 provides an in-depth
review on the current state of affairs, lessons and challenges when preserving Linked
Data. His talk shows, first of all, the importance of preservation (e.g. for link preser-
vation and content and concept drift management) and its roots in Web archiving. In
this regards, current strategies can be seen from an observational point of view (discrete
snapshots) or being perceived as a continuous flow where the changes can be provid-
ed/detected by different ways (e.g. via versioning system or notification-based). In the
talk, Miel Vander Sande shows that, although there are (increasingly popular) technical
solutions (i.e. products), the Linked Data archiving process (with some building blocks
such as interfaces, change detection, publishing, crawling and querying) is still a chal-
lenge from the technical but also infrastructural and societal point of view. Finally, in
spite of current challenges (e.g. who will be responsible for archiving, parallel truths,
robust links), the talk looks at the bright side showing that Linked Data is, in essence,
feasible to archive (e.g. it is raw, self-contained and machine processable) and there
are many technologies than can support archiving (e.g. Memento, HDT, Triple Pat-
tern Fragments), although we need archiving to be add to the discussion, and stimulate
archiving.
We close the workshops with a discussion on open topics and future directions. The
main topic was the lack of clear guidelines to archive/preserve linked data, which is
preventing further adoption by publishers and consumers. To solve this, we promote
the collection of best practices and tools. In addition, we highlight that current systems
do not consider the versioned datasets in their query planning strategies. Including this
topic in the discussion would foster and boost the performance of current RDF archiving
engines.
Acknowledgments
We would like to thank the authors for their contribution and active participation in the
workshops, and all the program committee members for reviewing the submissions and
provide valuable feedback. We are also grateful to the organisers of the ESWC 2018
conference for their support, and our keynote speaker, Miel Vander Sande from imec
-Ghent University.
The MEPDaW workshop was co-organised by members funded by the EU’s Hori-
zon 2020 research and innovation programme: grant 731601 (SPECIAL) and the Aus-
trian Research Promotion Agency’s (FFG) program “ICT of the Future”: grant 861213
(CitySpin).
References
1. O. Beyan, J. Debattista, S. Decker, J. D. Fernández, A. Hasnain, M. I. Ali, P. Patel, D. Rebholz-
Schuhmann, D. T. Amit Sheth, J. Umbrich, and M.-E. Vidal, editors. Joint proceedings
4
See slides at: https://mielvds.github.io/MEPDaW2018/
Preface of MEPDaW 2018: Managing the Evolution and Preservation of the Data Web 3
of the 4th Workshop on Managing the Evolution and Preservation of the Data Web (MEP-
DaW), the 2nd Workshop on Semantic Web solutions for large-scale biomedical data analyt-
ics (SeWeBMeDA), and the Workshop on Semantic Web of Things for Industry 4.0 (SWeTI),
number 2112 in CEUR Workshop Proceedings, Aachen, 2018.
2. A. B. Meriem Laajimi and N. Y. Ayadi. Evaluation of rdf archiving strategies with spark.
In 4th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW),
2018.
3. H. J. Pandit, D. O’sullivan, and D. Lewis. Gdpr-driven change detection in consent and activity
metadata. In 4th Workshop on Managing the Evolution and Preservation of the Data Web
(MEPDaW), 2018.
4. A. Singh, R. Brennan, and D. O’sullivan. Delta-ld: A change detection approach for linked
datasets. In 4th Workshop on Managing the Evolution and Preservation of the Data Web
(MEPDaW), 2018.