RESOURCE TRACK - CALL FOR PAPERS

Welcome to the Resource Track of the IEEE International Conference on Semantic Computing

ICSCR is an appropriate venue to publish datasets, machine learning models, indexes, benchmarks, ontologies, libraries, APIs and tools that demand a high effort to be developed and can have a high impact on advancing the state of the art of semantic technologies.

 

Papers describing resources rarely receive the same recognition as research papers, therefore ICSCR considers such works as well. The main requirements for resource papers are: (I) an objective but precise description of the resource; (II) an open license; and (III) to make the resource available to other users through a permanent link.

We are particularly encouraging ontologies and RDF dataset submissions available through [KBox](https://github.com/AKSW/KBox), [OntoHub](https://ontohub.org/) or any other RDF sharing platform.

 

Review Criteria

 

Availability

 

Impact

  • Is the resource relevant to the community?

  • Does the resource have practical use?

  • Does the resource help to (re)evaluate approaches and/or perform research tasks?

  • Does the resource follow existing best practices (e.g., use a human- and machine-readable format in case of a dataset, reuse upper schemata in the case of an ontology)?

  • Can the resource be used to improve the state of the art?

 

Usability

  • Is the resource published with reasonable documentation that provides an easy understanding of how to use the resource?

  • Is the resource easy to use?

 

Submission Details

  • Papers must have between 4 and 8 pages, be written in English and follow the instructions in the Manuscript Formatting and Templates page.

  • All papers should be submitted under Resource Track. Other details in the [main track website] (https://www.ieee-icsc.org/).

Commission

 

Track Co-Chair: Edgard Marx, Leipzig University of Applied Sciences, Germany

Committee Members (tentative)Natanael Arndt, INFAI, Germany
Tommaso Soru, University of Leipzig, Germany
Saeedeh Shekarpour, University of Dayton, USA
Kuldeep Singh, Fraunhofer IAIS, Germany
Sepideh Mesbah, Delft University of Technology, Netherlands
Harsh Thakkar, Bonn University, Germany
Gëzim Sejdiu, Bonn University, Germany
Adrian Brasoveanu, MODUL University Vienna, Austria
Claus Stadler, Leipzig University, Germany
Fajar Ekaputra, TU Vienna, Austria
Ivan Ermilov, Leipzig University, Germany
Saeedeh Shekarpour, University of Dayton, USA
Mohamed Sherif, Paderborn University, Germany
Adrian Brasoveanu, MODUL Technology GmbH, Austria
Kuldeep Singh, Fraunhofer IAIS, Germany
Diego Esteves, Farfetch, Portugal
Farshad Badie, Aalborg University, Denmark