This workshop aims at addressing the above mentioned challenges and issues by providing a forum for researchers and practitioners who apply linked data technologies to discuss, exchange and disseminate their work. More broadly, this forum will enable communities interested in data, knowledge and ontology dynamics, lifecycles and versioning to network and cross-fertilise.


Based on the research questions raised during the keynotes and discussions in previous editions of this workshop, we identify the following open challenges:

  1. How can we represent and index archives of continuously evolving linked datasets? (efficiency vs. compact representation, centralized vs decentralized approaches).
  2. How can we measure the performance of systems for archiving evolving datasets, in terms of representation, efficiency and compactness?
  3. How can we measure, analyse and predict data/ontology/concept evolution?
  4. How can we improve completeness of archiving? How can we adapt crawling to take into account the dynamicity of the data?
  5. How can emerging retrieval demands in archiving (e.g. time-traversing and traceability) be satisfied?  
  6. What type of data analytics can we perform on top of the archived Data Web? How can we assess and validate the quality of evolving knowledge bases?
  7. How can certain time-specific queries over archives be answered? Can we re-use existing technologies (e.g. SPARQL or temporal extensions)? What is the right query language for such queries?
  8. What are the archiving  requirements and demands for highly dynamic datasets such as streaming data generated by applications like the Internet of Things?


Thus, topics of interest include, but are not limited to themes related to the evolution and preservation of linked data:

  •  Management of Data Versioning
    • Representation and maintenance of data versions and changes (change representation, change detection)
    • Efficient indexing to resolve time-based queries
    • Efficient update of existing data
    • Efficient versioned data access (retrieval, sharing, distribution, streaming)
    • Languages to query versioned data stores
    • Benchmarking of versioning data stores
    • Change patterns and dynamics
  • Reasoning of Evolving Knowledge
    • Evolving patterns extraction
    • Predicting evolving knowledge
    • Reasoning for trend analysis
    • Reasoning for knowledge shift detection
    • Exploitation of reasoning results to recommendation systems
  • Visualization and Presentation of Evolving Knowledge
    • Browsing evolving knowledge
    • Visualizing trends
    • Visual summarization of knowledge sub-domains
    • User interfaces for evolving knowledge presentation
  • Data Preservation
    • Digital preservation for the Web of Data
    • Dynamics of context or background (tacit) knowledge
    • Design of evolution-aware Linked Data applications (for appraisal, storage management, interlinking, analysis)
    • Crawling
  • Data Quality and Provenance in Evolving Data
    • Incremental quality assessment and validation for evolving knowledge
    • Quality trends and prediction for changing knowledge
    • Automated repair based on historical context or predictions
    • Provenance in evolution
  • Ontology Evolution:
    • Representation of evolving ontologies
    • Efficient access of different versions of an ontology
    • Detection and prediction
    • Ontology change impact assessment
    • Long lived transactions for knowledge bases

Submission guideline

We envision three types of submissions in order to cover the entire spectrum from mature research papers to novel ideas/datasets and industry technical talks:

  1. A) Research Papers (max 15 pages), presenting novel scientific research addressing the topics of the workshop.
  2. B) Position Papers, Demo papers and System and Dataset descriptions (max 5 pages), encouraging papers describing significant work in progress, late breaking results or ideas of the domain, as well as functional systems or datasets relevant to the community.
  3. C) Industry & Use Case Presentations (max 5 pages), in which industry experts can present and discuss practical solutions, use case prototypes, best practices, etc., in any stage of implementation.


Papers should be formatted according to the Springer LNCS format ( in PDF or equivalent in HTML format (encouraged). Authors new to HTML submissions can look into the Research Articles in Simplified HTML (RASH) Framework ( or dokeli ( HTML articles can be submitted by either providing an URL to their article (in HTML+RDFa, CSS, JavaScript etc.) with supporting files, or an archived zip file including all the material.

All papers should be submitted to

All accepted papers will be published in the CEUR workshop proceedings series.

Best paper award

We will provide an award for the best research paper submitted. Selection criteria include the innovative nature of work, the importance and timeliness of the topic, and the overall readiness and quality of the writing. We particularly encourage student submissions, which will be given preference.


Organizing Committe 

  • Jeremy Debattista (ADAPT Centre, Trinity College Dublin, Ireland)
  • Javier D. Fernández (Vienna University of Economics and Business)
  • Jürgen Umbrich (Vienna University of Economics and Business)
  • Maria-Esther Vidal (Universidad Simon Bolivar and Technische Informationsbibliothek (TIB);

Advisory Board

  • James Anderson, Dydra
  • Axel Polleres, Vienna University of Economics and Business, Austria
  • Rob Brennan, ADAPT Centre, Trinity College Dublin, Ireland

Program Committee

  • Maribel Acosta, Karlsruhe Institute of Technology (KIT), Germany
  • Natanael Arndt, AKSW, Leipzig, Germany
  • Ioannis Chrysakis, FORTH-ICS, Greece
  • Valeria Fionda, University of Calabria, Italy
  • Giorgos Flouris, FORTH-ICS, Greece
  • Marios Meimaris, ATHENA R.C., Greece
  • George Papastefanatos, ATHENA R.C., Greece
  • Ruben Taelman, Ghent University, Belgium
  • Harshvardhan J. Pandit, ADAPT Centre, Trinity College Dublin, Ireland
  • Steffen Lohmann, Enterprise Information Systems, University of Bonn, Germany