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8.2 MIM 2: Shared Data Models
8.2.1 Goals
To provide:
– Guidelines and catalogue of minimum common data models in different verticals to enable
interoperability for applications and systems among different cities and communities.
– Harmonized representation formats and semantics that will be used by applications to consume
and publish data.
– Data Models for interoperable and replicable smart solutions in multiple sectors, starting with
smart cities and communities but also for smart agri-food, smart utilities, smart industry, among
others.
8.2.2 Capabilities
Data models serve as a language in which systems can talk to each other. Clear, defined data
models help cities and communities in choosing and opening up data across solutions.
Data models should capture as much as possible of the complete context they are representing.
This enables other applications to define what they need for their context and to request the specific
attributes in which they are interested.
Harmonization across data models helps in supporting different data models again to support the
different applications out there. Clear definitions of the data models help in transforming these
data models between the different standards.
8.2.3 Recommended specifications
– NGSI-LD-compliant data models for aspects of the smart city have been defined by organizations
and projects, including OASC, FIWARE, GSMA and the SynchroniCity project, and there is an
ongoing joint activity of TM Forum and FIWARE to specify more. This led to a joint effort which
resulted in the smart data models.
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– Existing data models and ontologies, e.g., the SAREF (Smart Applications REFerence ontology)
standard by ETSI/oneM2M, can be mapped for use with NGSI-LD by identifying the entities,
properties and relationships that can be managed and requested by the NGSI-LD API.
– oneM2M base ontology (that is compatible with SAREF). Additionally, oneM2M provides
the means to instantiate ontologies as a means to provide semantic descriptions of the data
exchanged (through the use of metadata).
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