The OntoWare Group provides organizational and legal support for a broad range of Semantic Web related software projects. Through a collaborative and meritocratic development process, OntoWare projects deliver enterprise-grade, freely available software products that attract large communities of users.
The UMBEL project is a community one with participation encouraged. We welcome criticisms, testing, debate and discourse. The current system is not yet at acceptable production quality, and some properties and vocabulary are still experimental. Please help UMBEL become better !
SIMILE is focused on developing robust, open source tools based on Semantic Web technologies that improve access, management and reuse among digital assets.
Knoodl is sort of an ontology editor, registry/repository, and wiki all rolled into an easy to use online application. There's never been anything quite like it.
* Upload an ontology you already have, or build one from scratch.
* Add rich documentation with wikitext, so that other people can understand what your ontology is about.
* Work with other people on the same vocabulary, at the same time
* Find and download other ontologies and use them in semantic applications.
The BIO schema 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.
A. Martin, D. Maladhy, und V. Venkatesan. (2011)cite arxiv:1109.1088Comment: Classification, Ontology, Business Intelligence, Datamining, Inverted Index, Ontology Tree Index.