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  • gci - Global City Indicator Foundation Ontology
    http://ontology.eil.utoronto.ca/GCI/Foundation/GCI-Foundation.owl
    Global City Indicator Foundation Ontology developed by the Information Engineering Group, Mechanical & Industrial Engineering, University of Toronto. Contains the foundation ontologies required to represent ISO 37120 city indicators, including Placenames, Time, Measurement, Provenance, Statistics, Validity and Trust. See: Fox, M.S., (2013), "A Foundation Ontology for Global City Indicators", Global City Institute Working Paper, Vol. 1, No.4, pp. 1-45. Global Cities Institute, University of Toronto. Updated 24 June 2014: http://www.eil. Based on the Global City Indicators Facility, University of Toronto: http://www.cityindicators.org/Deliverables/Core%20and%20Supporting%20Indicators%20Table%20SEPTEMBER%202011.pdf. Contact: Mark S. Fox, msf@eil.utoronto.ca @en
  • gcon - GConsent - a consent ontology based on the GDPR
    https://w3id.org/GConsent
    GConsent provides concepts and relationships for defining consent and its associated information or metadata with a view towards GDPR compliance. It is the outcome of an analysis of consent and requirements associated with obtaining, using, and changes in consent as per the GDPR. The ontology also provides an approach to using its terms in various scenarios and use-cases (see more information in the documentation) which is intended to assist in its adoption. @en
  • gd - Government Data Vocabulary
    http://vocab.data.gov/gd
    A RDF Schema that defines concepts and relationships common to all Open Government Data @en
  • gdprov - The GDPR Provenance ontology
    https://w3id.org/GDPRov
    GDPRov is an OWL2 ontology to express provenance metadata of consent and data lifecycles towards documenting compliance for GDPR. @en
  • gdprt - GDPR text EXTensions
    https://w3id.org/GDPRtEXT
    The General Data Protection Regulation (GDPR) is comprised of several articles, each with points that refer to specific concepts. The general convention of referring to these points and concepts is to quote the specific article or point using a human-readable reference. This ontology provides a way to refer to the points within the GDPR using the EurLex ontology published by the European Publication Office. It also defines the concepts defined, mentioned, and requried by the GDPR using the Simple Knowledge Organization System (SKOS) ontology. @en
  • gen - Vocabulary for Linked Genealogical Data
    http://purl.org/gen/0.1#
    A simple RDF vocabulary containing terms to facilitate the linking of genealogical data. @en
  • geo - WGS84 Geo Positioning
    http://www.w3.org/2003/01/geo/wgs84_pos
    A vocabulary for representing latitude, longitude and altitude information in the WGS84 geodetic reference datum. @en
  • geod - Administrative vocabulary for Norway
    http://vocab.lenka.no/geo-deling
    Vocabulary describing the administrative subdivision of Norway @en
  • geof - Geo Features
    http://www.mindswap.org/2003/owl/geo/geoFeatures20040307.owl
    This ontology contains geographic feature classes and associated properties including classes and properties for describing the spatial location of the geographic feature. The classes and properties have been defined based on an ESRI dataset. @en
  • geofla - Ontology of administrative units at IGN-France
    http://data.ign.fr/def/geofla
    An ontology describing the administrative divisions in France. @en
  • geom - Ontology for geometry
    http://data.ign.fr/def/geometrie
    An ontology for describing the shape and the location of topographic entities @en
  • geop - FAO Geopolitical Ontology
    http://aims.fao.org/aos/geopolitical.owl
    FAO's geopolitical ontology version 1.1 was populated with FAO, UN and internationally recognized data sources. @en
  • geosp - GeoSpecies Ontology
    http://rdf.geospecies.org/ont/geospecies
    The GeoSpecies Ontology is used to describe geographical distribution of living species. @en
  • gf - OWL representation of ISO 19109 (General Feature Model)
    http://def.seegrid.csiro.au/isotc211/iso19109/2005/feature
    An OWL representation of part of the General Feature Model described in ISO 19109 and the General Feature Instance model described in Annex C of ISO 19156:2011. @en
  • glc - GLACIATION Metadata Reference Model
    https://glaciation-project.eu/MetadataReferenceModel
    The GLACIATION platform develops a novel Distributed Knowledge Graph (DKG) that stretches across the edge-core-cloud architecture to reduce energy consumption, improving data processing and optimizing data movement operations. Towards this aim, the platform needs to consume the data and metadata that are fed into the DKG. The metadata can affect and inform the decision-making processes in the GLACIATION architecture and introduces the GLACIATION Metadata Reference Model that will be used for modelling the metadata in the DKG. The GLACIATION Reference Metadata Model makes data ingestion and processing interoperable inside the GLACIATION platform. Linked Data allows for a high level of flexibility and to tackle the variety and merging issues that emerge in heterogenous environments, especially due to the wide range of sensors and other data sources that the platform may integrate. The GLACIATION Reference Metadata Model is tailored to fit the specific purposes of the GLACIATION platform, while the GLACIATION use cases define the scope of the model for better interoperability. There are common metadata challenges for all use cases. This stems from the use of the Kubernetes orchestration system as a basis for the GLACIATION platform. In addition, common to the platform is the ingestion of data from other sources into the DKG that can then be used to affect processing decisions. There are direct data flows from sensors within the system, but also data and metadata from sources external to the system. This allows the system to react e.g. to environmental situations like weather or temperature, but also to requirements concerning security or privacy. Exemplary uses and specializations of the reference model to the GLACIATION use cases are also provided. The GLACIATION Metadata Reference Model can be used for scheduling and performing tasks. The model can be considered as a general conceptualization of a tasks scheduling problem that considers various measuring indicators over the deployed resources. It captures the assignment of time-constrained tasks to time constrained and energy consuming resources, that can satisfy various hard and soft constraints, even compositions of such constraints. The tasks can be monitored through various measuring resources using a variety of single or aggregated, predicted or real measurements. The model is generic, by being both domain and application independent, describing the scheduling tasks, without providing specific solutions on how they can be solved. It can be easily adjusted to each of the current three GLACIATION use cases, covering also the Kubernetes orchestration and its Telemetry System deployed by the project. The proposed model makes it feasible to answer the competency queries defined by each of the Glaciation's use case. @en