The Schema.org vocabulary, including the core vocabulary and all domain-specific layers.
This document describes a vocabulary for annotating descriptions of vocabularies with examples and usage notes.
The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums and tracks) on the Semantic Web.
GoodRelations is a standardized vocabulary (also known as “schema”, “data dictionary”, or “ontology”) for product, price, store, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications.
An ontology for publishing descriptions of historical events as Linked Data, and for mapping between other event-related vocabularies and ontologies.
The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer.
At its heart the BIO vocabulary is concerned with people, their relationships and the events in their lives. Together these can be used to build up a narrative of a person's life and their interactions with other people, organizations and the world around them. Events bound intervals of time that may be associated with particular relationships between people and groups or organisations. Many different types of life event are defined in this vocabulary including the obvious Birth, Marriage and Death but also Coronation, Performance and even Murder. These events are not intended to be fully comprehensive but are representative of the types of events associated with biographical material. Currently the relationship segment of the vocabulary is underspecified with only a generic Relationship class available. It is envisaged that many types of relationship such as families, employments and ownerships will be specified in the future.
The sequence of events and intervals build a timeline of history against which people and their relationships can be placed. The aim is to enable simple forms of genealogical reasoning such as determining whether a child was born out of wedlock or the location of a family given the fact one of their children was attending a particular school. Events are ordered in time by relating them to one another and to abstract intervals of time.
The Event Ontology is developed by the Centre for Digital Music in Queen Mary, University of London. The first draft of the ontology was written in October, 2004.
This ontology is centered around the notion of event, seen here as the way by which cognitive agents classify arbitrary time/space regions, which is essentially the view expressed by Allen and Fergusson:
“[…] events are primarily linguistic or cognitive in nature. That is, the world does not really contain events. Rather, events are the way by which agents classify certain useful and relevant patterns of change. This ontology has already been proven useful in a wide range of context, due to its simplicity and usability: from talks in a conference, to description of a concert, or chords being played in a Jazz piece (when used with the Timeline ontology), festivals, etc. Relevant references are given in the reference section. Some tools to manipulate data from this ontology can be found in the motools project on Sourceforge.”
Vocabulary for describing issues (or problems) and corresponding symptoms and solutions to a broad variety of contexts. It is intended to provide a generic, reusable core ontology that can be extended or specialized for use in domain-specific situations, aimed at supporting Linked Data publishing. The solutions are represented by procedures, which are possible workflows for solving corresponding issues.
A vocabulary for describing (library) holdings. The Holding Ontology deals with [items]() and their relations to agents and documents. An item is a copy or exemplar of a document. Items are also referred to as holdings, but a holding is moreover the description of an agents inventory and access information for the item. Items may further be connected to services, locations, and chronologies.
FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. FOAF integrates three kinds of network: social networks of human collaboration, friendship and association; representational networks that describe a simplified view of a cartoon universe in factual terms, and information networks that use Web-based linking to share independently published descriptions of this inter-connected world. FOAF does not compete with socially-oriented Web sites; rather it provides an approach in which different sites can tell different parts of the larger story, and by which users can retain some control over their information in a non-proprietary format.