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<div class="">Workshop on <b class=""><i class="">Data meets Applied Ontologies in Open Science and Innovation</i></b> </div>
<div class="">(DAO-SI @JOWO-2018)<br class="">
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<div class=""><a href="https://smart.inf.unibz.it/index.php/2018/03/27/daosi2018/" class="">https://smart.inf.unibz.it/index.php/2018/03/27/daosi2018/</a></div>
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<div class="">The 2018 edition of the DAO-SI Workshop will be a track of the 4th edition of the Joint Ontology Workshops, JOWO ( <a href="http://www.iaoa.org/jowo2018/" class="">http://www.iaoa.org/jowo2018/</a> ), which will be held in Cape Town, South Africa,
17-18 September 2018. The event is placed in between the 4th Interdisciplinary School on Applied Ontology, ISAO 2018 ( <a href="http://isao2018.cs.uct.ac.za/" class="">http://isao2018.cs.uct.ac.za/</a> - 10-14 September 2018), and the 10th International Conference
on Formal Ontology in Information Systems, FOIS 2018 ( <a href="http://fois2018.cs.uct.ac.za/" class="">http://fois2018.cs.uct.ac.za</a> - 17-21 September 2018).</div>
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<div class="">Following the 2017 edition, the goal of the 2018 edition of DAO-SI is to provide opportunities for stakeholders from the academia, industry and public organisations to present their latest developments in <i class=""><b class="">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</b></i>. Currently, key S&I data elements are dispersed across a multitude
of distinct agencies and research institutions or are in third-party databases. 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.</div>
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<div class="">In such a context, ontology-mediated data management infrastructures can help bringing together inputs and outcomes from a variety of sources in an open and interoperable fashion.</div>
<div class="">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.</div>
<div class="">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:</div>
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<div class="">*<b class=""><i class="">Ontology-based systems for Open Science and Open Innovation (OS&OI)</i></b>*</div>
<div class="">- Science, Technology and Innovation (STI) ontology specification and management: open issues and experiences</div>
<div class="">- Ontology-based harmonisation of STI Subject Classification Systems</div>
<div class="">- Ontologies for STI qualitative data management (e.g., policy instruments, target populations, technology sector coverage, surveys and policies assessment)</div>
<div class="">- Machine learning and ontology engineering coupling experiences to improve quantity and quality of STI indicators</div>
<div class=""> - Ontology-mediated data management platforms for impact evaluation</div>
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<div class="">*<i class=""><b class="">Tools supporting the development of ontology-mediated data access</b></i>* </div>
<div class="">- Mapping specifications</div>
<div class="">- Inspection and Debugging</div>
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<div class="">*<i class=""><b class="">Usability, Data access for non-technical users</b></i>*</div>
<div class="">- Exploratory tools over RDF-based repositories for non-technical users - User context-sensitive data interlinking and personalisation</div>
<div class="">- Usability and acceptance by stakeholders in the OS&OI ecosystems</div>
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<div class="">*<i class=""><b class="">Methods and techniques for RDF-based data analytics</b></i>*</div>
<div class="">- Innovative solutions for publishing statistical and multi-dimensional STI data - RDF-based analytics framework for STI studies</div>
<div class="">- STI Data science and semantic technologies</div>
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<div class="">*Submission Guidelines*</div>
<div class="">Papers must be submitted in PDF format and must follow the IOS Press FOIS formatting guidelines, available on the <a href="http://iopress.nl/" class="">iopress.nl</a> website (<a href="https://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/" class="">https://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/</a>).
Submissions should not be longer than 14 pages. Moreover, to be published in the CEUR proceedings, a paper must contain at least 5 pages.</div>
<div class="">All submissions are made through the JOWO 2018 Easychair, selecting the Data meets Applied Ontologies in Open Science and Innovation (DAO-SI) track.</div>
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<div class=""><a href="https://easychair.org/conferences/?conf=jowo2018" class="">https://easychair.org/conferences/?conf=jowo2018</a> </div>
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<div class="">Demos of accepted demo descriptions will be presented at the workshop and their descriptions will be published in the JOWO proceedings (as CEUR workshop proceedings – see previous editions: <a href="http://www.iaoa.org/jowo/" class="">http://www.iaoa.org/jowo/</a>).</div>
<div class="">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.</div>
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<div class="">*Important Dates*</div>
<div class="">- June 25, 2018: submission deadline</div>
<div class="">- July 23, 2018: acceptance notification to authors </div>
<div class="">- August 15, 2018: camera ready versions due</div>
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<div class="">- September 17-18, 2018: JOWO 2018</div>
<div class="">- September 19-21, 2018: FOIS 2018</div>
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<div class="">*Organizing committee*</div>
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<li class="">Roberto Confalonieri, <i class="">Smart Data Factory</i>, Faculty of Computer Science, Free University of Bozen-Bolzano, Italy (<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small; font-variant-ligatures: normal; background-color: rgb(255, 255, 255);" class=""><a href="mailto:roberto.confalonieri@unibz.it" class="">roberto.confalonieri@unibz.it</a></span>)<br class="">
</li><li class="">Alessandro Mosca, <i class="">SIRIS Lab</i>, Research division of SIRIS Academic, Barcelona, Spain (<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small; font-variant-ligatures: normal; background-color: rgb(255, 255, 255);" class=""><a href="mailto:a.mosca@sirisacademic.com" class="">a.mosca@sirisacademic.com</a>)</span></li><li class="">Diego Calvanese, <i class="">Smart Data Factory</i>, Faculty of Computer Science, Free University of Bozen-Bolzano, Italy (<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small; font-variant-ligatures: normal; background-color: rgb(255, 255, 255);" class=""><a href="mailto:diego.calvanese@unibz.it" class="">diego.calvanese@unibz.it</a></span>)</li></ul>
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