IoT Semantic Interoperability for Active and Healthy Ageing
329
enrichment of data or for performing any other type of semantic management
[2, 12, 32].
Another challenge is the lack of effective tools for ontology alignment or semantic
translation. In literature at the time of publishing this book, Inter-IoT framework is
considered the only existing tool for aligning ontologies and vocabularies in IoT
environments [23, 28]. Furthermore, Inter-IoT provides the only known solution for
performing real-time semantic translations [5, 23], which is the only possible option
to provide semantic interoperability in real-time across IoT systems that do not share
common semantics.
2.3 Semantic Interoperability in AHA
Semantic interoperability is critical in the e-Health and AHA sector, as it allows the
inter-operation of the different elements and health systems that compose the AHA
ecosystem, as well as the use in a seamless way of different data standards for the
representation of AHA information. From an overall perspective, it enables the interoperation and coordination of heterogeneous medical devices and systems, which
typically follow different data standards and communication protocols, being this
integration not trivial. Semantic interoperability makes compatible the use digital
health information across diverse care settings and clinical software. Semantic interoperability solves the problem of employing different electronic health record (EHR)
or electronic medical record (EMR) systems, as well as the use of medical data associated to an specific patient provided by different care providers [16, 33]. Moreover,
this common understanding of the information allows the existence of healthcare
data analytics of data from multiple heterogeneous sources. In conclusion, semantic
interoperability is crucial to allow inter-operation across caring systems and elements
to seamlessly synthesize health information.
In order to achieve semantic interoperability in these specific domains, several
ontologies have been developed for e-Health [5, 33, 34] (e.g. HL7
1 ), while the first
AHA-specific ontology has been recently created.
3 USE CASE: The ACTIVAGE European Smart Homes
3.1 Overview
The ACTIVAGE
2 project is a H2020 Large Scale Pilot that aims to improve the
quality of life and autonomy of older adults through the use of IoT in the Active and
1 https://www.hl7.org.
2 http://www.activageproject.eu/.
329
enrichment of data or for performing any other type of semantic management
[2, 12, 32].
Another challenge is the lack of effective tools for ontology alignment or semantic
translation. In literature at the time of publishing this book, Inter-IoT framework is
considered the only existing tool for aligning ontologies and vocabularies in IoT
environments [23, 28]. Furthermore, Inter-IoT provides the only known solution for
performing real-time semantic translations [5, 23], which is the only possible option
to provide semantic interoperability in real-time across IoT systems that do not share
common semantics.
2.3 Semantic Interoperability in AHA
Semantic interoperability is critical in the e-Health and AHA sector, as it allows the
inter-operation of the different elements and health systems that compose the AHA
ecosystem, as well as the use in a seamless way of different data standards for the
representation of AHA information. From an overall perspective, it enables the interoperation and coordination of heterogeneous medical devices and systems, which
typically follow different data standards and communication protocols, being this
integration not trivial. Semantic interoperability makes compatible the use digital
health information across diverse care settings and clinical software. Semantic interoperability solves the problem of employing different electronic health record (EHR)
or electronic medical record (EMR) systems, as well as the use of medical data associated to an specific patient provided by different care providers [16, 33]. Moreover,
this common understanding of the information allows the existence of healthcare
data analytics of data from multiple heterogeneous sources. In conclusion, semantic
interoperability is crucial to allow inter-operation across caring systems and elements
to seamlessly synthesize health information.
In order to achieve semantic interoperability in these specific domains, several
ontologies have been developed for e-Health [5, 33, 34] (e.g. HL7
1 ), while the first
AHA-specific ontology has been recently created.
3 USE CASE: The ACTIVAGE European Smart Homes
3.1 Overview
The ACTIVAGE
2 project is a H2020 Large Scale Pilot that aims to improve the
quality of life and autonomy of older adults through the use of IoT in the Active and
1 https://www.hl7.org.
2 http://www.activageproject.eu/.