JOURNAL ARTICLE

Semantic Schema Mapping for Interoperable Data-Exchange

Pandit, Harshvardhan J.Graux, DamienOrlandi, FabrizioCrotti Junior, AdemarO'Sullivan, DeclanLewis, Dave

Year: 2020 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

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.

Keywords:
Interoperability Schema matching Data mapping Semantic interoperability Data exchange Software portability Ontology Semantic matching Semantics (computer science)

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Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Data Quality and Management
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Business Process Modeling and Analysis
Social Sciences →  Business, Management and Accounting →  Management Information Systems

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