dcterms:description"s4ehaw is an extension of SAREF for eHealth Ageing Well"@en;
dcterms:description"s4ehaw is an extension of SAREF for eHealth Ageing Well"@en;
dcterms:description"""The objective of SAREF4EHAW is to extend SAREF ontology for the eHealth/Ageing-well (EHAW) vertical. Clause 4.1 of the present document shortly introduces a high level view of the envisioned SAREF4EHAW semantic model and modular ontology, with the retained concepts (i.e. classes) and their relations.
SAREF4EHAW extension has been specified and formalised by investigating EHAW domain related resources, as reported in ETSI TR 103 509, such as: potential stakeholders, standardization initiatives, alliances/associations, European projects, EC directives, existing ontologies, and data repositories. Therefore, SAREF4EHAW modular ontology shall both:
- Allow the implementation of a limited set of typical EHAW related use cases already identified in ETSI TR 103 509, i.e.
- Use case 1 “elderly at home monitoring and support”,
- Use case 2 “monitoring and support of healthy lifestyles for citizens”,
- Use case 3 “Early Warning System (EWS) and Cardiovascular Accidents detection”.
- Fulfil the eHealth Ageing Well related requirements provided in ETSI TR 103 509, mainly the ontological ones that were mostly taken as input for the ontology specification.
SAREF4EHAW mainly reuses the following existing ontologies: SAREF, ETSI SmartBAN reference model, SAREF 4 Environment extension, SAREF 4 Wearables extension, SAREF4health ontology which is a very first try to somehow extend SAREF ontology for the health vertical (it has nothing to do with ETSI SAREF4XYZ naming convention). The following figure presents the high level view of SAREF4EHAW ontology.
For semantic interoperability handling purposes, an ontology based solution, combined with sensing-as-a-service and WoT strategies, is retained for SAREF4EHAW. Therefore, an upper level ontology, at service level, shall also behas been fully modelled (Service class and sub-classes depicted in the previous figure).
For embedded semantic analytics purposes, SAREF4EHAW shall behas been designed using the modularity principle (see ETSI TR 103 509) and can thus be mainly described by the following self-contained knowledge sub-ontologies (or modules): HealthActor, Ban, HealthDevice, Function (measured data related concepts included) and Service."""^^<http://www.iana.org/assignments/media-types/text/markdown>;
dcterms:title"s4ehaw: an extension of SAREF for eHealth Ageing Well"@en;
dcterms:title"s4ehaw: an extension of SAREF for eHealth Ageing Well"@en;
rdfs:comment"Each device type has modes of operations that model its dynamic caracteristic varying during its lifetime, e.g. active, parked, sleeping, etc..";
rdfs:comment"Each eHealth device has modes of operations that model its dynamic caracteristic varying during its lifetime, e.g. active, parked, sleeping...";
rdfs:comment"A heal device type has computing power describing the processing power or capabilities of the device (e.g. processor ID and manufacturer, duty cycle, available flash/RM memory, maximum flash/RAM memory...)."@en;
rdfs:comment"A health device type has computing power describing the processing power or capabilities of the device (e.g. processor ID and manufacturer, duty cycle, available flash/RM memory, maximum flash/RAM memory...)."@en;
rdfs:comment"Defines the relationship between a Body Area Network or BAN that elects one hub that mainly plays the role of both a data concentrator and a network GW."@en;
rdfs:comment"A Body Area Network or BAN elects one hub that mainly plays the role of both a data concentrator and a network GW."@en;
rdfs:comment"A measurement fucntion, in case of complex measurement like time series, has frequency measurement, i.e. the frequency in which it makes measurements."@en;
