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).
OPMV, the Open Provenance Model Vocabulary, provides terms to enable practitioners of data publishing to publish their data responsibly. The Open Provenance Model Vocabulary is closely based on the community provenance data model, the Open Provenance Model (OPM).
The Citation Counting and Context Characterization Ontology is an ontology for the characterization of bibliographic citations. It forms part of SPAR, a suite of Semantic Publishing and Referencing Ontologies.
The FRBR-aligned Bibliographic Ontology is an ontology for recording and publishing on the Semantic Web bibliographic records of scholarly endeavours. It forms part of SPAR, a suite of Semantic Publishing and Referencing Ontologies.
The Citation Typing Ontology is an ontology for the characterization of citations, both factually and rhetorically. It forms part of SPAR, a suite of Semantic Publishing and Referencing Ontologies.
The Bibliographic Reference Ontology is an ontology for describing bibliographic records (as subclasses of frbr:Work) and bibliographic references. It forms part of SPAR, a suite of Semantic Publishing and Referencing Ontologies.
This specification defines a small ontology for similarity called MuSim. In MuSim, the association between two (or more) Things is a class to be reified rather than a property. This allows us to embrace the complexity of associations and accommodate the subjectivity and context-dependence of musical and multimedia similarity. Although this ontology was designed with music similarity in mind, it can readily be applied to other domains.
GoodRelations is a standardized language for product, price, 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.
Global *S*emantic *C*ategory, *O*ntology, *T*ag and *T*axonomy S*y*stem, adding OWL based services as well as simple categories, tags and tagclouds. Relations are made using real SQL relations, that can be exported later on to OWL and other standards. This will enable exchange of semantic information between different systems.
Protégé is a free, open source ontology editor and knowledge-base framework.
The Protégé platform supports two main ways of modeling ontologies via the Protégé-Frames and Protégé-OWL editors. Protégé ontologies can be exported into a variety of formats including RDF(S), OWL, and XML Schema.
Protégé is based on Java, is extensible, and provides a plug-and-play environment that makes it a flexible base for rapid prototyping and application development.
The OntoLT approach aims at a more direct connection between ontology engineering and linguistic analysis. OntoLT is a Protégé plug-in, with which concepts (Protégé classes) and relations (Protégé slots) can be extracted automatically from linguistically annotated text collections. It provides mapping rules, defined by use of a precondition language that allow for a mapping between linguistic entities in text and class/slot candidates in Protégé.
NEPOMUK brings together researchers, industrial software developers, and representative industrial users, to develop a comprehensive solution for extending the personal desktop into a collaboration environment which supports both the personal information management and the sharing and exchange across social and organizational relations.
Our goal is to develop a probabilistic knowledge base that mirrors the content of the web. We are developing a system that uses semi-supervised learning methods to learn to extract symbolic knowledge from unstructured text and HTML. We are exploring methods of continous learning, where our system runs 24x7, continuously learning to read better, and continuously extracting facts from the web.
The SCOT(Social Semantic Cloud Of Tags) ontology is to semantically represent the structure and semantics of a collection of tags and to represent social networks among users based on the tags.
The SIOC initiative (Semantically-Interlinked Online Communities) aims to enable the integration of online community information. SIOC provides a Semantic Web ontology for representing rich data from the Social Web in RDF. It has recently achieved significant adoption through its usage in a variety of commercial and open-source software applications, and is commonly used in conjunction with the FOAF vocabulary for expressing personal profile and social networking information. By becoming a standard way for expressing user-generated content from such sites, SIOC enables new kinds of usage scenarios for online community site data, and allows innovative semantic applications to be built on top of the existing Social Web. The SIOC ontology was recently published as a W3C Member Submission, which was submitted by 16 organisations.
This page provides quick links for the Registered RDA Element Sets and Value Vocabularies. Each set of elements or vocabulary concepts has a link to the general description as well as a link to a list of elements or concepts.
Our goal is to develop a probabilistic knowledge base that mirrors the content of the web. We are developing a system that uses semi-supervised learning methods to learn to extract symbolic knowledge from unstructured text and HTML. We are exploring methods of continous learning, where our system runs 24x7, continuously learning to read better, and continuously extracting facts from the web.
Knoodl facilitates community-oriented development of OWL based ontologies and RDF knowledgebases. It also serves as a semantic technology platform, offering a JAVA service-based interface or a SPARQL-based interface so that communities can build their own semantic applications using their ontologies and knowledgebases.
* Development of methods, tools and applications for adaptive Knowledge Engineering in the context of the Semantic Web * Research of underlying Semantic Web technologies and development of fundamental Semantic Web tools and applications * Maturation of strategies for fruitfully combining the Social Web paradigms with semantic knowledge representation techniques
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