Ontology aim/scope: Wear4PDmoveOnto aims to semantically integrate heterogeneous data such as dynamic/stream data (collected from wearables) and static/historic data (stored in PHR databases), in order to represent personal health knowledge …
The aim of the ontology is to represent knowledge related to drones’ semantic trajectories (flights, missions, recordings). Reuses datAcron ontology (http://ai-group.ds.unipi.gr/datacron_ontology/). Ontology IRI and documentation: http://w3id.org/onto4drone Ontology proposed prefix: dront …
Using WebVOWL software and VOWL: Visual Notation for OWL Ontologies: FOAF ontology (http://xmlns.com/foaf/0.1/) or view it as an SVG file. IoT ontology (v2.1) view as an SVG file or as …
SEC4DigiT (Saving Energy with Comfort for Digital Twins) ontology Solution A: Imports BOT, SSN/SOSA (W3C ontologies) – Current solution (v1) Solution B: Imports SAREF/SAREF4ENRG/SAREF4BLDG (ETSI ontologies). The related ontology (work-in-progress) …
Ontologies developed for the Smart Museum (cultural spaces). 1, Smart Museum ontology: version .07 (.owl) (github) (LODE) (sparql queries) version .08 (.owl) (github) 2. MESO (Museum Energy-saving ontology): (.owl) (github) …
A number of other (older) ontologies have been developed for different domains during the past years. Some of them are listed below: An ontology for supporting conversation with a museum …
To support IoT-related research I’ve conducted since 2012, I’ve developed in OWL using Protege tool (with contributions of my colleagues Artem and George) those IoT (internet of things) ontologies: IoT …
Experimental ontology to support research in biased semantics in surveillance domain: Bias in knowledge capture, a barrier in fair offender capture. Surveillance ontology: (.owl) (github)
