7th MEPDaW Workshop at ISWC'21, October 25th, 2021 (virtual event)
The ISWC Organizing Committee and the Semantic Web Science Association (SWSA) have been closely monitoring the situation evolving around Covid-19. They have decided that ISWC 2021 together with its associated workshops will be virtual events.
There is a vast and rapidly increasing quantity of scientific, corporate, government, 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 (Linked Data Stack, PoolParty Suite, etc.) that manage a full life-cycle of the Data Web. More specifically, these solutions are expected to tackle major issues such as the synchronisation problem (monitoring changes), the curation problem (repairing data imperfections), the appraisal problem (assessing the quality of a dataset), the citation problem (how to cite a particular version of a dataset), the archiving problem (retrieving a specific version of a dataset), and the sustainability problem (preserving at scale, ensuring long-term access).
This workshop targets one of the emerging and fundamental problems in the Web, specifically the management and preservation of evolving knowledge graphs.
During the past six years, the MEPDaW workshop series has been gathering researchers from the community around these challenges. So far the series successfully published more than 25 research efforts allowing more than 50 individual authors to present and share their ideas.
This workshop aims at addressing challenges and issues on managing Knowledge Graph evolution and preservation by providing a forum for researchers and practitioners to discuss, exchange and disseminate their ideas and work, to network and cross-fertilise new ideas.
Topics of interest include, but are not limited to themes related to the evolution and preservation of Knowledge Graphs:
We envision four types of submissions covering the entire workshop topics spectrum:
The proceedings of the workshops will be published in the CEUR-WS. Papers must be submitted in PDF according to the LLNCS format or in HTML. The PDF files must have all non-standard fonts embedded. Workshop submissions must be self-contained and in English.
All papers should be submitted to https://easychair.org/conferences/?conf=mepdaw2021.
MEPDaW will take place on Monday 25th of October afternoon between 3pm and 6:30pm CET. The Zoom link is https://zoom.us/j/97654057442 (Provided by ISWC'21). All hours are Central European Time (CET). (Please, don't forget to register... ☺)
Title: How can we fix the Web of Data?
Professor Katja Hose, Aalborg University, Department of Computer Science, Denmark
Abstract: When querying knowledge we typically consider the Web of Data to be a static point of reference that is always available and that never changes. However, when actually running queries "in the wild", we encounter a broad range of problems; spanning from the (un)availability of entire knowledge graphs (and their SPARQL endpoints) to outdated references between knowledge graphs caused be unilateral updates and beyond that, we are almost entirely missing out on the availability of previous versions of knowledge graphs and provenance metadata about them. In this talk, I will highlight some of the solutions we developed to mitigate these problems. I will first show how to keep knowledge available for continuous and scalable querying. Afterwards, I will present an approach that enables community-driven updates so that mistakes can be corrected or missing information can be added. And finally, I will highlight what we can learn from RDF archiving solutions to better support evolving knowledge graphs.
Title: RDF version management of Clinical Data Standards
Javier D. Fernández, information architect at F. Hoffmann-La Roche AG, Switzerland
Nelia Lasierra, information architect at F. Hoffmann-La Roche AG, Switzerland
|At 3:00pm||Academic Keynote Session|
|3:05pm-2:50pm||How can we fix the Web
By Professor Katja Hose from Aalborg University, Denmark
|At 4:00pm||Paper Session I|
|4:00pm-4:20pm||De-icing federated SPARQL
pipelines: a method for assessing the "freshness" of
Damien Graux, Fabrizio Orlandi and Declan O'Sullivan
visualization for exploring and fixing
a multi-dimensional metadata base of popular musics
Maroua Tikat, Marco Winckler and Michel Buffa
|4:40pm-5:00pm||TrieDF: Efficient In-memory
Indexing for Metadata-augmented RDF
Olivier Pelgrin, Luis Galárraga and Katja Hose
|At 5:05pm||Industrial Keynote Session|
|5:05pm-5:35pm||RDF version management
of Clinical Data Standards
By Javier D. Fernández & Nelia Lasierra from F. Hoffmann-La Roche AG, Switzerland
|At 5:35pm||Paper Session II|
|5:35pm-5:55pm||Don’t Stop Thinking about
Tomorrow: Use Cases Demonstrating
the Asymmetric Impact of Contextual Temporal Links in Knowledge Graph Evolution
K. Krasnow Waterman
|5:55pm-6:15pm||UpLOD: A Tool for Inconsistent
Links Repairment in the LOD
André Regino, Enio de Jesus Pontes Monteiro, Andressa Cristina dos Santos
and Julio Cesar Dos Reis
|At 6:15pm||Discussion & wrap-up|
|Natanael Arndt||Leipzig University, Germany|
|Ioannis Chrysakis||FORTH-ICS, Greece; and Ghent University - IDLab – 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|
The main focus of the workshop has always been on the fundamental problem of managing the evolution and preservation of the Data Web.