OWL ontologies Information on how to open OWL files from the Protege-OWL editor is available on the main Protege Web site. See the Creating and Loading Projects section of the Getting Started with Protege-OWL Web page. Other ways to search for OWL ontologies include using Google: http://www.google.com/search?q=filetype:owl+owl, or the new Semantic Web search engine called Swoogle.

SKOS Simple Knowledge Organization System Primer

ENTERPRISE APPLICATIONS AT THE SPEED OF BUSINESS SEMANTIC WEB FOR THE ENTERPRISE Now businesses can afford to rapidly build applications customized to the dynamically changing requirements around them. New applications can be built in days instead of months and at a fraction of the cost. More…

defines an ontology that can be used to classify ontologies

DFDF - A Descriptive Approach to Data Standardization Data standardization is fundamentally prescriptive; no information system can solve the data integration problem without enforcing certain rules. But the challenge remains at where the rules should be prescribed. Most existing data standards prescribe the rules over the data itself. Excessive use of such an approach, however, leads to inefficient data representation. The alternative approach is to enforce the conforming rules over the description of the data so that data itself can be encoded in any manner. By developing ontologies for describing the data format and software libraries that can understand the ontology, this descriptive approach to data standardization will provide maximal flexibility in data representation while still ensuring the data interoperability.

public group for those interested in the development of Sindice.com

Profium develops and markets content management systems based on Semantic Web technologies.

Intelligent Framework for Generating Open (Adaptable) Development Platforms for Web - Service EnabledApplications Using Semantic Web Technologies, Distributed Decisions Support Units and Multi - Agent - Systems.

Corrib.org is a cluster project, has been started on the base of cooperation between DERI International and Gdansk University of Technology. So far, it gathers together both open source projects being developed based on that cooperations and people affiliated to different sites.

Today's web is great for text and images, but less good for structured information. If people could easily find and understand the information they need, combining multiple sources to answer their questions and tell their own stories, then that would open up all kinds of new possibilities. Our aim is to help make that happen.

This category collects tools that are related to the Semantic Web or to semantic technologies in general.

KnowWE implements a (refined) concept of semantic wikis: Besides basic ontological knowledge - such as the definition of classes, taxonomic and user-defined properties - KnowWE is able to represent problem-solving knowledge that is applied on selected classes of the ontology. Every wiki page embeds not only semantically annotated text and multimedia but also explicit problem-solving knowledge. The embedded knowledge can be used to actually derive the concept related to the particular wiki article.

The following are lists of active, defunct and proposed semantic wiki code projects (or "engines"). Please, add only wikis or ontologies to this page if there is either a published paper or a public, running prototype. Also, consider using the Category:Semantic wiki to tag articles about semantic wikis.

JeromeDL is a Social Semantic Digital Library. As a digital library, it allows institutions to easily publish documents on the Web. It supports a variety of document formats and allows to store and query a rich bibliographic description of each document.

JeromeDL is a Social Semantic Digital Library. As a digital library, it allows institutions to easily publish documents on the Web. It supports a variety of document formats and allows to store and query a rich bibliographic description of each document. To find relevant documents in JeromeDL users can use searching and browsing features. Whole documents content can be searched through, as well as single fields of the documents description, like author or publish year. Users can also find documents by rowsing content of subject categories and keywords.

The Sematic Web Client Library represents the complete Semantic Web as a single RDF graph. The library enables applications to query this global graph using SPARQL- and find(SPO) queries. To answer queries, the library dynamically retrieves information from the Semantic Web by dereferencing HTTP URIs, by following rdfs:seeAlso links, and by querying the Sindice search engine. The library is written in Java and is based on the Jena framework. Contents