Best paper award:
Data linkage and ontology matching have traditionally focused on creating a single link between items in a dataset, terminology or ontology. This one size mapping does not fit the myriad of use cases to which the data will be put. In order to make intelligent use of these mappings, users of the matches want to understand the justification of the mapping to interpret the meaning of the linking. This issue arises in many areas including healthcare, life sciences and disaster management.
This workshop will focus on the creation of mappings, modelling of justifications, and developing explanations. It will also address developing intuitive displays to present the consequences of these mappings to the user.
We are seeking theoretical techniques, use cases, software tools and applications to foster debate in this area.
Alasdair J G Gray, Heriot-Watt University, UK
Harry Halpin, W3C/ L'Institut de recherche et d'innovation du Centre Pompidou (IRI)/MIT
Fiona McNeill, Heriot-Watt University, UK
Krisztian Balog, University of Stavanger
Alan Bundy, University of Edinburgh
Vinay Chaudhri, SRI
Michelle Cheatham, Wright State University
James Cheney, University of Edinburgh
Oscar Corcho, Universidad Politécnica de Madrid
Eraldo Fernandes, Pontifícia Universidade Católica do Rio de Janeiro
Fausto Giunchiglia, University of Trento
Paul Groth, VU Amsterdam
Sajjad Hussain, INSERM, Paris, France
Shuai Ma, Beihang University
Alun Preece, Cardiff University
David Robertson, University of Edinburgh
Robert Stevens, University of Manchester
Frank van Harmelen, VU Amsterdam
Peter Winstanley, Scottish Government