Semi-automatic semantic enrichment of personal data streams

Calbimonte, Jean-Paul (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Dubosson, Fabien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Kebets, Ilia (Pryv SA, Lausanne, Switzerland) ; Legris, Pierre-Mikael (Pryv SA, Lausanne, Switzerland) ; Schumacher, Michael (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Current information technologies allow people to acquire personal data related to their health, lifestyle, behavior, and activities, often using wearable and mobile devices. Personal data management technologies have emerged recently, in order to cope with the requirements of this type of data, ranging from personal clouds to self-storage solutions. Pryv.io is a comprehensive solution for managing this particularly sensible type of data streams, focusing both on data privacy and decentralization. In this paper, we describe SemPryv, a system aiming at providing a semantization mechanism for enriching personal data streams with standardized specialized vocabularies from third-party providers. It relies on third providers of semantic concepts, and includes rule-based mechanisms for facilitating the semantization process. A full implementation of SemPryv has been produced, pluggable to the existing Pryv.io platform, showing the feasibility of the approach.


Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-FR
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Karlsruhe, Germany, 9-12 September 2019
Date:
2019-09
Karlsruhe, Germany
9-12 September 2019
Pagination:
5 p.
Published in:
Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019)
ISSN:
1613-0073
External resources:
Appears in Collection:



 Record created 2020-05-11, last modified 2020-10-27

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