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lexdcp - Lexicon Model for Ontologies - Decomp http://www.w3.org/ns/lemon/decomp A model for the representation of lexical information relative to ontologies. Decomposition module. @en -
ebg - euBusinessGraph ontology http://data.businessgraph.io/ontology# The euBusinessGraph (`ebg:`) ontology represents companies, type/status/economic classification, addresses, identifiers, company officers (e.g., directors and CEOs), and dataset offerings. It uses `schema:domainIncludes/rangeIncludes` (which are polymorphic) to describe which properties are applicable to a class, rather than `rdfs:domain/range` (which are monomorphic) to prescribe what classes must be applied to each node using a property. We find that this enables more flexible reuse and combination of different ontologies. We reuse the following ontologies and nomenclatures, and extend them where appropriate with classes and properties: - W3C Org, W3C RegOrg (basic company data), - W3C Time (officer membership), - W3C Locn (addresses), - schema.org (domain/rangeIncludes and various properties) - DBpedia ontology (jurisdiction) - NGEO and Spatial (NUTS administrative divisions) - ADMS (identifiers), - FOAF, SIOC (blog posts), - RAMON, SKOS (NACE economic classifications and various nomenclatures), - VOID (dataset descriptions). This is only a reference. See more detail in the [EBG Semantic Model](https://docs.google.com/document/d/1dhMOTlIOC6dOK_jksJRX0CB-GIRoiYY6fWtCnZArUhU/edit) google document, which includes an informative description of classes and properties, gives examples and data provider rules, and provides more schema and instance diagrams. @en -
cis - Cultural-ON (Cultural ONtology): Cultural Institute/Site and Cultural Event Ontology http://dati.beniculturali.it/cultural-ON/cultural-ON.owl 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. @en -
dbpedia-owl - The DBpedia Ontology http://dbpedia.org/ontology/ The DBpedia ontology provides the classes and properties used in the DBpedia data set. @en -
lgdo - LinkedGeoData ontology http://linkedgeodata.org/ontology LinkedGeoData ontology has been derived from concepts defined by Open Street Map @en -
essglobal - ESSGlobal Vocabulary http://purl.org/essglobal/vocab/ A vocabulary for the Social and Solidarity Economy (SSE). This vocabulary is designed to be used in combination with the metadata schemes/vocabularies/ontologies: dcterms, good relations, foaf, vcard, organization and schema.org - this is defined in the Dublin Core Application Profile of the SSE. Developed by the ESSGlobal group of the Intercontinental Network for Promoting the Social and Solidarity Economy (RIPESS) Organisation. @en -
mil - Military Ontology Specification http://rdf.muninn-project.org/ontologies/military The Muninn Military Ontology marks up information about military people, organizations and events. @en -
amlo-core - AMLO-core vocabulary http://w3id.org/amlo/core The AMLO-core is the main module of the AMLO projects that extends the Financial Industry Business Ontology (FIBO) with some concepts to describe the Anti Money Laundering (AML) knowledge and facts. @en -
ti - The Time Interval Pattern http://www.ontologydesignpatterns.org/cp/owl/timeinterval.owl This pattern is extracted from DOLCE-UltraLite by partial clone of elements and expansion. Two datatype properties have been added which allow to express the boundaries of the time interval. @en -
lmm1 - Lexical MetaModel Level 1 http://www.ontologydesignpatterns.org/ont/lmm/LMM_L1.owl This ontology is a composition of some content design patterns for the semiotic triangle. Its structure is extracted from DOLCE-Ultralite (DOLCE+c.DnS), but it uses a different terminology, @en -
dcat - Data Catalog Vocabulary http://www.w3.org/ns/dcat DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web @en -
r-arco - ArCo Ontology (ArCo network) https://w3id.org/arco/ontology/arco The ArCo module is the root of the network ArCo - Architecture of Knowledge. It imports all the other modules and models top-level distinctions from the cultural heritage domain. @en -
cdesc - Context Description Ontology (ArCo network) https://w3id.org/arco/ontology/context-description The Context Description module includes models for the context of a cultural property, in a broad sense: agents (e.g.: author, collector, copyright holder), objects (e.g.: inventories, bibliography, protective measures, other cultural properties, collections etc.), activities (e.g.: surveys, conservation interventions), situations (e.g.: commission, coin issuance, estimate, legal situation) related, involved or involving the cultural property. Thus it represents attributes that do not result from a measurement of features in a cultural property, but are associated with it. @en -
ddesc - Denotative Description Ontology (ArCo network) https://w3id.org/arco/ontology/denotative-description The Denotative Description module encodes the characteristics of a cultural property, as detectable and/or detected during the cataloguing process and measurable according to a reference system. Examples include measurements e.g. length, constituting materials e.g. clay, employed techniques e.g. melting, conservation status e.g. good, decent, bad. In this module are used as template the following Ontology Design Patterns: - http://www.ontologydesignpatterns.org/cp/owl/collectionentity.owl - http://www.ontologydesignpatterns.org/cp/owl/classification.owl - http://www.ontologydesignpatterns.org/cp/owl/descriptionandsituation.owl - http://www.ontologydesignpatterns.org/cp/owl/situation.owl @en -
dba - Description Banking Archives Ontology https://w3id.org/dba/ontology/ The ontology, presented here in a beta version, is based on the analysis of the documentation and descriptive requirements of the Intesa Sanpaolo Historical Archive and is intended to describe the content of historical banking documents and of some of the activities carried out by the bank, particularly in relation to third parties (loans, charity donations, seizures and confiscations, etc.), which involve the initiation of processes or the production of documents. The focal point of the descriptive model is the bank - an entity that initiates different types of processes, whose common feature is that they are structured into various stages/events - and the relationship between the documentation produced and the information it contains. In fact, this ontology is based on information collected from archived documents which describe various processes and activities carried out by banking institutions: the starting point for its construction were the inventories and databases of documentation stored in the Historical Archive which was produced by the various banks that over time were merged into Intesa Sanpaolo. The ontology was created to provide a sufficiently abstract representation and model for describing the processes of various banking activities from which the documentation was produced - from a company's request for financing and its outcome, to the preparation of seizure, confiscation and asset restitution filings, to charitable contributions, just to mention a few examples - reusing models that were already well established and widely used. The structure of the proposed ontology is in fact intended to adapt to the various activities, described in the archive files that a banking institution performs in relation to third parties. The proposed ontology is therefore not an ontology on banking activity in general, but on the relationship between this activity and the documents that are produced. Moreover, its objective is not to describe the documents in the strict sense of the term, for which reference is made to OAD ontology. The purpose of this project is to lay the initial, and fundamental, building blocks for describing the complexity, variety, and breadth of the domain of archiving bank records and the data they contain. Despite having data from different banks relating to different activities and having already made arrangements for the integration of third-party datasets and ontologies, before completing the project we will have to wait for the processing of representations based on other types of documents and banking institutions, including non-Italian ones. @en