Tuovinen L., Smeaton A.F. (2019) A Domain Ontology and Software Platform for Collaborative Personal Data Analytics. In: Luo Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2019. Lecture Notes in Computer Science, vol 11792. Springer, Cham. https://doi.org/10.1007/978-3-030-30949-7_1
A domain ontology and software platform for collaborative personal data analytics
|Author:||Tuovinen, Lauri1,2; Smeaton, Alan F.1|
1Insight Centre for Data Analytics, Dublin City University, Dublin, Ireland
2Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019102935710
|Publish Date:|| 2020-10-01
Collaborative knowledge discovery is a promising approach by which people with no data analytics expertise could benefit from an analysis of their own personal data by experts. To facilitate effective collaboration between data owners and knowledge discovery experts, we have developed a software platform that uses a domain ontology to represent knowledge relevant to the execution of the collaborative knowledge discovery process. The ontology provides classes representing the main elements of collaborations: collaborators and datasets. Furthermore, the ontology enables the specification of privacy constraints that determine the precise extent to which a given dataset of personal data is shared with a given collaborator. We have developed a client-server software platform that enables users to initiate collaborations, invite experts to join them, create datasets and share them with experts, and create visualisations of data. The collaborations are mediated through the creation, modification and deletion of individuals in the underlying ontology and the propagation of ontology changes to each client connected to the server.
Lecture notes in computer science
|Pages:||1 - 11|
16th International Conference on Cooperative Design, Visualization and Engineering CDVE 2019 Mallorca, Spain, October 6–9, 2019
|Host publication editor:||
International Conference on Cooperative Design, Visualization and Engineering
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
The work of Lauri Tuovinen is funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement number 746837. The Insight Centre is funded by Science Foundation Ireland under grant number SFI/12/RC/2289, and is co-funded under the European Regional Development Fund.
© Springer Nature Switzerland AG 2019. This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science, vol 11792. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-30949-7_1.