Workshop on Data meets Applied Ontologies in Open Science and Innovation (DAO-SI @JOWO-2019)
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 Open Innovation (OS&OI)*
- Science, Technology and Innovation (STI) ontology specification and management: open issues and experiences
- Ontology-based harmonisation of STI Subject Classification Systems
- Ontologies for STI qualitative data management (e.g., policy instruments, target populations, technology sector coverage, surveys and policies assessment)
- Machine learning and ontology engineering coupling experiences to improve quantity and quality of STI indicators
- Ontology-mediated data management platforms for impact evaluation
- Mapping specifications
- Inspection and Debugging
- Exploratory tools over RDF-based repositories for non-technical users - User context-sensitive data interlinking and personalisation
- Usability and acceptance by stakeholders in the OS&OI ecosystems
- Innovative solutions for publishing statistical and multi-dimensional STI data - RDF-based analytics framework for STI studies
- STI Data science and semantic technologies
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.
- June 1, 2019: submission deadline
- July 1, 2019: acceptance notification to authors
- August 1, 2019: camera ready versions due
- September 23-25, 2019: JOWO 2019
- Alessandro Mosca - Smart Data Factory, Faculty of Computer Science, Free University of Bozen-Bolzano
- Roberto Confalonieri - Telefonica Innovation Alpha
- Diego Calvanese - Free University of Bozen-Bolzano, Faculty of Computer Science
- Andrea Bonaccorsi (Research Institute for the Evaluation of Public Policies - FBK-IRVAPP)
- Cinzia Daraio (Department of Computer, Control and Management Engineering Antonio Ruberti, University of Rome "La Sapienza")
- Tarek Besold (Telefonica) Alpha
- Pietro Galliani (Faculty of Computer Science, Free University of Bozen-Bolzano)
- Patrick Ohnewein (IDM Südtirol-Alto Adige)
- Rafael Peñaloza (Department of Computer Sciences, Systems and Communications - DISCo, Milano-Bicocca University)
- Nikla Petersen (eccenca GmbH)
- Enric Plaza Cervera (IIIA- Institut d’Investigació en Intel·ligència Artificial, CSIC - Spanish Council for Scientific Research)
- Daniele Porello (Laboratory for Applied Ontology, ISTC - CNR)
- Fernando Roda (SIRIS Academic SL)
- Guillem Rull (SIRIS Academic SL)
- Nicolas Troquard (Faculty of Computer Science, Free University of Bozen-Bolzano)
- Vitalis Wiens (Enterprise Information Systems, Fraunhofer IAIS)