2nd International Workshop on
Data meets Applied Ontologies in Open Science and Innovation
(DAO-SI @JOWO-2019)

Part of the Joint Ontology Workshops (JOWO 2019)
September 23-25, 2019 in Graz, Austria




  • 10:00-10:30 : J. Steven Hughes, Daniel Crichton and Ron Joyner. A Ontology-Mediated Space Science Digital Repository
  • 10:30-11:00 : Mickael Wajnberg, Petko Valtchev, Mario Lezoche, Alexandre Blondin-Massé and Hervé Panetto. Concept Analysis-Based Association Mining From Linked Data: A Case In Industrial Decision Making
  • 11:30-12:00 : Germán Alejandro Braun, Laura Cecchi and Pablo Fillottrani. Towards All-In-One OBDA Systems


The 2019 edition of the DAO-SI Workshop will be a track of the 5th edition of the Joint Ontology Workshops, Joint Ontology Workshops (JOWO 2019), which will be held in Graz, Austria, 23-25 September 2019.

The Joint Ontology WOrkshops (JOWO) is a venue of workshops that, together, address a wide spectrum of topics related to ontology research, ranging from Cognitive Science to Knowledge Representation, Natural Language Processing, Artificial Intelligence, Logic, Philosophy, and Linguistics.

Following the 2017 edition, the goal of the 2019 edition of DAO-SI is to provide opportunities for stakeholders from the academia, industry and public organisations to present their latest developments in ontology-mediated data integration, data access and analysis techniques, and data-driven applications, with a special focus on Science and Innovation (S&I) data management for decision and policy-making. Currently, the most significant S&I data elements are dispersed across a multitude of distinct actors and institutions or are in third-party repositories. They are often neither in structured format nor systematically shared across organisations, and the universe of data on publications, citations, and patents (among others) is typically maintained into closed-off silos.

In such a context, ontology-mediated data management platforms can help bringing together (raw and processed) information from a variety of sources in an open and interoperable fashion. An appropriate usage of metadata, as well as the specification of structured procedures for data publishing, privacy and data protection policies, intuitive and user-friendly methods for data access and re-use, are all still missing elements, even when the data we are dealing with are meant to be 'open' (see, The 2017 Global Report of Open Data Barometer). The workshop will be a great opportunity to synthesise new insights and disseminate knowledge across field boundaries to promote the interaction between the different stakeholders.

We welcome original contributions, in the form of discussion papers, experimental contributions, system and demo descriptions, about data management applications that make use of ontologies and ontology-based tools for S&I decision and policy-making, including but not limited to:

*Ontology-based systems for Open Science and Innovation*

*Tools supporting the development of ontology-mediated data access* *Usability, Data access for non-technical users* *Methods and techniques for linked data analytics*

Accepted papers

Submission Guidelines

Papers should be submitted non-anonymously in PDF format following IOS Press formatting guidelines (downloadable here). Papers should be uploaded via Easy Chair: https://easychair.org/conferences/?conf=jowo2019


Articles will be published by CEUR workshop proceedings. See previous editions here.

Submission of an article should be regarded as an agreement that, should the article be accepted, at least one of the authors will attend the workshop to present the work.

We accept submissions of 5-10 pages in length (including bibliography) of the following types:

Important Dates


Program committee