[PlanetKR] 2nd CfP: International Workshop on Data meets Applied Ontologies (DAO-SI) at JOWO 2019
Alessandro.Mosca at unibz.it
Thu May 23 18:09:29 EST 2019
*Workshop on Data meets Applied Ontologies in Open Science and Innovation (DAO-SI @JOWO-2019)*
Part of the Joint Ontology Workshops (JOWO 2019) to be held on September 23-25, 2019 in Graz, Austria
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.
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
**Tools supporting the development of ontology-mediated data access**
Inspection and Debugging
**Usability, Data access for non-technical users**
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
**Methods and techniques for RDF-based data analytics**
Innovative solutions for publishing statistical and multi-dimensional STI data - RDF-based analytics framework for STI studies
STI Data science and semantic technologies
We accept submissions of 5-10 pages in length (including bibliography) of the following types:
* submissions describing original unpublished work, neither submitted to, nor accepted for, any other venue;
* descriptions of ongoing research and projects, preliminary approaches, position papers;
* extended abstracts of full papers that have been published previously (notice that the full paper must be explicitly referenced in the submission);
* extended abstracts of full papers that are currently under revision for a different venue (i.e., a conference or a journal); when a submissions is of this type, this must be explicitly indicated in the abstract.
Papers should be submitted non-anonymously in PDF format following IOS Press formatting guidelines (downloadable here: https://protect-au.mimecast.com/s/NZs5C1WL9zS6M2B1Spjv0w?domain=iospress.nl)
Papers should be uploaded via Easy Chair: https://protect-au.mimecast.com/s/aRHLC2xM9AUVpPZvh2phty?domain=easychair.org
Articles will be published by CEUR workshop proceedings.
* May 31, 2019: Abstract registration
* June 15, 2019: Paper submission deadline
* July 15, 2019: Acceptance notification to authors
* August 15, 2019: Camera ready version due
Alessandro Mosca - Free University of Bozen-Bolzano, Faculty of Computer Science, Smart Data Factory
Roberto Confalonieri - Telefonica Innovation Alpha, Barcelona, Spain
Diego Calvanese - Free University of Bozen-Bolzano, Faculty of Computer Science
- alessandro.mosca at unibz.it<mailto:alessandro.mosca at unibz.it>
- roberto.confalonieri at telefonica.com<mailto:roberto.confalonieri at telefonica.com>
- diego.calvanese at unibz.it<mailto:diego.calvanese at unibz.it>
Smart Data Factory Lab
Faculty of Computer Science @Free University of Bozen-Bolzano, Dominikanerplatz 3, Bozen, Italy
NOI Techpark Südtirol/Alto Adige, Office A1.4.29d
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