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Semantic Schema Mapping for Interoperable Data-Exchange

Authors: Pandit, Harshvardhan J.; Graux, Damien; Orlandi, Fabrizio; Crotti Junior, Ademar; O'Sullivan, Declan; Lewis, Dave;

Semantic Schema Mapping for Interoperable Data-Exchange

Abstract

GDPR's Right to Data Portability requires data to be provided in an interoperable, commonly used, and machine-readable format and facilitates its transfer between controllers. However, a major challenge for such data to be used between different services is agreement over common schemas to define the semantics of data. We present our vision of a holistic process for organisations to export and import data in an interoperable manner by using ontology matching and mapping techniques to identify a common model towards schema-negotiation. Our approach enables organisations to exchange data using a common base schema, thereby motivating greater innovation in the ecosystem through data reuse. To demonstrate our vision, we present a proof-of-concept application of ingesting data from Facebook into Twitter.

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Keywords

Ontology Matching, Schema, Right to Data Portability, GDPR, Semantics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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