ISOcat ist ein Verzeichnis für alle Konzepte, die Relevanz haben für Linguistik und den Bereich Sprachquellen inklusive Metadatenkategorien usw..
ISOcat is a central registry for all concepts relevant in linguistics and the domain of language resources, including metadata categories etc..
KBpedia is a comprehensive knowledge structure for promoting data interoperability and knowledge-based artificial intelligence, or KBAI. The KBpedia knowledge structure combines seven 'core' public knowledge bases — Wikipedia, Wikidata, schema.org, DBpedia, GeoNames, OpenCyc, and UMBEL — into an integrated whole. KBpedia's upper structure, or knowledge graph, is the KBpedia Knowledge Ontology. We base KKO on the universal categories and knowledge representation theories of the great 19th century American logician, polymath and scientist, Charles Sanders Peirce.
"L’ontologia Cultural-ON, realizzata nell’ambito di una Convenzione tra il MIBACT e l’Istituto di Scienze e Tecnologie della Cognizione del Consiglio Nazionale delle Ricerche (ISTC-CNR), ha lo scopo di modellare i dati che caratterizzano gli istituti e i luoghi della cultura, come ad esempio i dati sugli enti o sulle persone che hanno un determinato ruolo sugli istituti e luoghi della cultura, le sedi fisiche dei luoghi, i contatti, eventuali materiali multimediali che descrivono un istituto e luogo della cultura e ogni altra informazione utile al pubblico per poter accedere all’istituto
"The ontology aims at modelling the data on cultural institutes or sites such as data regarding the agents that play a specific role on cultural institutes or sites, the sites themselves, the contact points, all multimedia files which describe the cultural institute or site and any other information useful to the public in order to access the institute or site. Moreover, the ontology represents events that can take place in specific cultural institutes or sites. The following figure illustrates some of the core elements of the ontology.
"The Video Game Ontology is aimed at modelling video game related information. The main goal is to capture knowledge about events that happen in video games and information about players. This ontology has been created as a joint work by researchers at Lappeenranta University of Technology, Finland and Universidad Politecnica de Madrid, Spain."
"Derived from the DAML Wine ontology at http://www.daml.org/ontologies/76. Substantially changed, in particular the Region based relations."
"Un vocabulaire de description des vocabulaires RDF et de leurs relations mutuelle."
"VOAF is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies) used in the Linked Data Cloud. In particular it provides properties expressing the different ways such vocabularies can rely on, extend, specify, annotate or otherwise link to each other. It relies itself on Dublin Core and voiD. The name of the vocabulary makes an explicit reference to FOAF because VOAF can be used to define networks of vocabularies in a way similar to the one FOAF is used to define networks of people."
"VOAG stands for 'Vocabulary Of Attribution and Governance'. The ontology is intended to specify licensing, attribution, provenance and governance of an ontology. VOAG captures many common license types and their restrictions. Where a license requires attribution, VOAG provides resources that allow the attribution should be made. Provenance is defined in terms of source and pedigree. A miminal model of governance is provided based on how issues, releases and changes are managed.
"An extension of W3C VoID that is able to represent these metrics for expressing the Connectivity Metrics of a Semantic Warehouse."
"Scientific workflows have been increasingly used in the last decade as an instrument for data intensive science. Workflows serve a dual function: first, as detailed documentation of the scientific method used for an experiment (i. e. the input sources and processing steps taken for the derivation of a certain data item), and second, as re-usable, executable artifacts for data-intensive analysis.
The Weighted Interests Vocabulary specification provides basic concepts and properties for describing describing preferences (interests) within contexts, their temporal dynamics and their origin on/ for the Semantic Web. This document contains a RDFa description of the Weighted Interests Vocabulary and some additional information and examples.
