The Web is developing from a medium for publishing textual documents into a medium for sharing structured data. This trend is fueled on the one hand by the adoption of the Linked Data principles by a growing number of data providers. On the other hand, large numbers of websites have started to semantically mark up the content of their HTML pages and thus also contribute to the wealth of structured data available on the Web. Recently, Distributed Ledger Technologies (DLTs) have emerged as a novel way to manage and exchange digital assets among a large number of agents in a decentralised way, leading to a rethink of consensus algorithms. Distributed Ledgers may be one answer to the problems of trust and redecentralisation of the Web, for instance in the context of Linked Data. Conversely, Linked Data and Web technologies could help Distributed Ledger technologies for solving their very own challenges, like interoperability and querying. The workshop on Linked Data on the Web and its Relationship to Distributed Ledgers (LDOW/LDDL) aims to stimulate discussion and further research into the challenges of publishing, consuming, and integrating structured data from the Web, covering established topics of the Linked Data on the Web (LDOW) community. As this year’s edition represents the coming together of the established Workshop on Linked Data On the Web (LDOW) with Workshop on Linked Data and Distributed Ledgers we'll additionally address the question of how distributed ledgers could help towards solving some of these challenges, and how Linked Data technologies may help distributed ledgers to become more open and interoperable.

Important Dates

Accepted Contributions

In alphabetical order


The timing for presentations and breaks at LDOW/LDDL is shown below.

Session 1 - Linked Data on the Web - Keynote

Session 2 - Linked Data on the Web - Presentations

Session 3 - Linked Data and Distributed Ledgers - Keynote and contributions

Session 4 - Discussion

Topics of Interest

Topics of interest for the workshop include, but are not limited to, the following:

Integrating Web Data from Large Numbers of Data Sources Linked Data Applications Linked Data for Distributed Ledgers Distributed Ledgers for Linked Data Web Data Quality Assessment and cleansing Mining the Web of Data

Pioneering the Linked Open Research Cloud

Problem: The LOD Cloud contains minimal information about the research output from Web Science, Semantic Web, and Linked Data venues (including, a decade on, our very own LDOW workshop). Moreover, our interactions with these publications are static, and not very social. Simply put, we are not taking full advantage of what the Web enables us to do, let alone applying our own tools and standards to publish, consume, or enhance the output. Challenge: What if we were to semantically capture the core parts of our research at a granular level, and offer user interactions and participation? Could this help to improve our work, and bring the community to new levels of understanding, and increase usage of tools and techniques? What if we were able to search or query for these parts? We might be able to answer questions such as: "Which scholarly articles are relevant to my research?", "What is the hypothesis of a given article?", "Which other researchers might find my results/output directly useful?", "What new ways are there to cluster related research together?", "Is there a research gap on a topic of interest?" Proposal on how to proceed: Progress has been made with regards to gathering and using metadata (eg., author names, article titles, year, abstract) - see the Semantic Web Dogfood / ScholarlyData - but we need to take this to a new level. We strongly promote self-dogfooding, encouraging authors to demonstrate that they use Semantic Web tooling or techniques in their own practice. We also promote decentralisation and data ownership, and encourage participants to share their contribution by publishing a document at a domain they control or consider sufficiently authoritative (e.g., a university webpage), and sending us the URL. Reviews will be based on a persistent copy of the URL’s contents e.g., from an snapshot of the article at the submission deadline. See Submissions below for more information. We encourage all research contributions (articles and reviews) to be part of the Linked Open Research Cloud (LORC). Check it out!


We seek the following kinds of contributions:

  1. Full scientific articles: up to 10 ‘pages’
  2. Short scientific and position articles: up to 5 ‘pages’

Submissions in pdf should adhere to the ACM format published in the ACM guidelines , selecting the generic “sigconf” sample. Note however, that contrary to the WebCof Research Papers guidelines that the author list does not need to be anonymized, as we do not operate a double-blind review process. The formatting is a requisite for being able to publish the paper in the companion volume of the Web Conference proceedings.

We also encourage authors to submit and publish their contributions according to the Linked Research principles and the Linked Open Research Cloud initiative. For this authors can use dokieli - a decentralized authoring and annotation tooling. Authors may submit to EasyChair either an URL to their paper (in HTML+RDFa, CSS, JavaScript etc.) with supporting files, or an archived zip file including all the material. However, note that in case of acceptance, the paper will need to be formatted in .pdf according to ACM rules if the authors wish to see it published in the proceedings.

Please submit your work through EasyChair

LDOW/LDDL encourages open peer review, and recommend that reviewers are named and attributed; however reviewers may be anonymous if so desired. Reviewers are welcome to publish their reviews using the same guidelines as the research articles.

All contributions will be archived at Internet Archive. Accepted contributions will be presented at the workshop and included in the CEUR workshop proceedings. At least one author of each article is expected to register for the workshop and attend to present their contribution.


Accepted contributions will be made available on this website or linked to canonical and archived URLs. We also aim at publishing them in the Companion Volume of the Web Conference.

Organising Committee (in alphabetic order)

Programme Committee

Previous Workshops