This vocabulary is an expression in RDF of the concepts and relations described in the IFLA report on the Functional Requirements for Bibliographic Records (FRBR).
This vocabulary is a work in progress, it includes RDF classes for the group 1, 2 and 3 entities described by the FRBR report and properties corresponding to the core relationships between those entities. It does not yet describe attributes of the entities. Where possible, appropriate relationships with other vocabularies are included in order to place this vocabulary in the context of existing RDF work.
The BIBFRAME vocabulary uses a Linked Data model and thus leverages the RDF modeling practice of uniquely identifying as Web resources all entities, attributes, and relationships (i.e., properties) between entities. The BIBFRAME Vocabulary is comprised of the RDF properties, classes, and relationships between and among them. In addition to the basic vocabulary linked to below the extension that the Library of Congress established in its work on a BIBFRAME 2.0 pilot is specified.
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 Bibliographic Reference Ontology (BiRO) allows the description of reference lists and bibliographic references themselves. In particular, BiRO uses an OWL-based definition of the FRBR model to define bibliographic references and their compilation into ordered bibliographic lists, by means of the Collections Ontology, as shown in the following figure.
The Citation Counting and Context Characterisation Ontology (C4O) is an ontology that permits the number of in-text citations of a cited source to be recorded, together with their textual citation contexts, along with the number of citations a cited entity has received globally on a particular date.
The Advene project aims at providing a model and various formats to share annotations about digital video documents (movies, courses, conferences…), as well as tools to edit and visualize the hypervideos generated from both the annotations and the audiovisual documents. Teachers, moviegoers, etc. can use them to exchange multimedia comments and analyses about video documents.
The Cinelab model allows not only to represent video annotations, but also an elicitation of their structure (through notions of schema and annotation type), as well as their presentations with views (templates applied on data to produce hypervideos) and queries.
This model has been developed by the partners of the Cinelab project (2007-2008, funded by the french national research agency), and used afterwards in a number of projects and applications, including Advene (LIRIS) and Ligne de temps (IRI).
This document is an up-to-date specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes.
This document is an up-to-date, authoritative specification of all metadata terms maintained by the Dublin Core Metadata Initiative. Included are the fifteen terms of the Dublin Core Metadata Element Set, which have also been published as IETF RFC 5013, ANSI/NISO Standard Z39.85-2007, and ISO Standard 15836:2009.
DEO, The Discourse Elements Ontology, is an ontology written in OWL 2 DL that provides a structured vocabulary for rhetorical elements within documents (e.g. Introduction, Discussion, Acknowledgements, Reference List, Figures, Appendix), enabling these to be described in RDF. It uses some of the rhetorical block elements from the SALT Rhetorical Ontology and the Ontology of Rhetorical Blocks.
The DNB RDF Vocabulary is a collection of classes, properties and datatypes used within the DNB's linked data service. It complements the GND Ontology which is specifically geared towards authority data from the Integrated Authority File (GND), whereas this vocabulary is more general-purpose.
The Document Components Ontology (DoCO) in an ontology that provides a structured vocabulary written of document components, both structural (e.g., block, inline, paragraph, section, chapter) and rhetorical (e.g., introduction, discussion, acknowledgements, reference list, figure, appendix).
Aktuellen Gesamtabzug der GND:
- Entitäten Körperschaft (Corporate body, Code b)
- Entitäten Kongress (Congress, Code f)
- Entitäten Geografikum (Geographical entity, Code g)
- Entitäten Personenname (nicht indiv.) (Name, Code n)
- Entitaeten Person (indiv.) (Person, Code p)
- Entitäten Sachbegriff (Subject term, Code s)
- Entitäten Werk (Work, Code u)
This ontology describes the GND elements, defined as a dictionary of named properties and classes using W3C's RDF technology.
GND stands for “Gemeinsame Normdatei” (Integrated Authority File) and offers a broad range of elements to describe authorities. The GND originates from the German library community and aims to solve the name ambiguity problem in the library world. Corresponding data is usually expressed in a customized MARC 21 Authority Format (GND MARC Format) which is quite domain specific and is not used beyond the library and publisher world. The GND ontology tries to bridge this gap by providing a format specification for the usage in the semantic web.
The need for name disambiguation and entries having an authoritative character is an issue that concerns a lot more communities than the library world. In a growing information society the unique identification and linking of persons, places and other authorities becomes more and more important. The GND Ontology aims to transfer the made experience from libraries to the web community by providing a vocabulary for the description of conferences or events, corporate bodies, places or geographic names, differentiated persons, undifferentiated persons (name of undifferentiated persons), subject headings, and works.
To ensure compatibility, the GND ontology aligns with already established vocabularies such as the FOAF vocabulary as well as with new ones like the RDA Vocabularies. We aim to align a number of additional vocabularies as soon as possible wherefore vocabulary suggestions as well as contribution in the alignment work is more than welcome.
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.
This linked data portal contains linked metadata of all IOS Press books and journals, as well as embeddings of all full text.
This newly released second version offers an improved user interface and twice the number of datapoints, now offering linked data for more than 132,000 journal articles and book chapters, over 330,000 authors resulting in more than 16 million triples.
Our linked data is openly available to the public, so it can:
- Enrich third party datasets
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We invite you to explore the data through our data browser, download our entire dataset or just subsets, download our word embeddings trained on the full text of all IOS Press publications or use the SPARQL endpoint search box on this platform.
The Ontology for Media Resources describes a core vocabulary of properties and a set of mappings between different metadata formats of media resources hat describe media resources published on the Web (as opposed to local archives, museums, or other non-web related and non-shared collections of media resources). The purpose of these mappings is to provide metadata representations that describe the characteristics and behavior of media resources in an interoperable manner, thereby enabling different applications to share and reuse these metadata.
This document describes the MADS/RDF (Metadata Authority Description Schema in RDF) vocabulary, a data model for authority and vocabulary data used within the library and information science (LIS) community, which is inclusive of museums, archives, and other cultural institutions. It is presented as an OWL ontology.
MADS/RDF is a knowledge organization system (KOS) designed for use with controlled values for names (personal, corporate, geographic, etc.), thesauri, taxonomies, subject heading systems, and other controlled value lists. It is closely related to SKOS, the Simple Knowledge Organization System and a widely supported and adopted RDF vocabulary. Given the close relationship between the aim of MADS/RDF and the aim of SKOS, the MADS ontology has been fully mapped to SKOS.
Unlike SKOS, however, which is very broad in its application, MADS/RDF is designed specifically to support authority data as used by and needed in the LIS community and its technology systems. For example, MADS/RDF provides a means to record data from the Machine Readable Cataloging (MARC) Authorities format in RDF for use in semantic applications and Linked Data projects.
MADS/RDF is designed to support the description of cultural and bibliographic resources. Data described using MADS/RDF, therefore, assists with identifying and annotating bibliographic and cultural resources. MADS/RDF is not focused on the description of Real World Objects. Although a MADS/RDF description may contain information specific to the Real World Object associated with the MADS/RDF authoritative label, the MADS/RDF ontology distinguishes between these two entities – the RWO and the Authority.
The Publishing Roles Ontology (PRO) is an ontology for the characterisation of the roles of agents – people, corporate bodies and computational agents in the publication process. These agents can be, e.g. authors, editors, reviewers, publishers or librarians.
PSO, the Publishing Status Ontology, is an ontology written in OWL 2 DL for characterizing the publication status of a document or other publication entity at each of the various stages in the publishing process (e.g. draft, submitted, under review, rejected, accepted for publication, proof, published, Version of Record, catalogued, archived).
Relator terms and their associated codes designate the relationship between a name and a bibliographic resource. The relator codes are three-character lowercase alphabetic strings that serve as identifiers. Either the term or the code may be used as controlled values.