knoodl.com

 - FREE web-based ontology development tool

 - Provides collaborative environment to create standard OWL ontologies

 - All ontologies can be displayed as visual graphs

Knoodl.com is an information management tool providing communities the ability to collaboratively develop, use and manage the semantics of any domain in the form of RDF/OWL models. It provides easy to use analytic and visualization  tools. Ontologies provide precise, formal definitions enabling integration, interoperability and reuse. Knoodl models are extensible, searchable, queryable are the foundation for Emergent Analytics^TM.

Semantic Wiki

Knoodl.com is a web-based knowledge-modeling tool designed to be used collaboratively by modelers, domain experts and business people. Vocabularies can be collaborated on by a single community or across communities, no matter how geographically dispersed they might be. The wider the community collaborating over a Vocabulary, the wider the domain over which the Vocabulary operates to meet the mission of integration and interoperability. Any number of users can simultaneously work on the same Vocabulary without having to worry about their work getting out of synch. Knoodl.com supports all of the RDF/OWL editor features necessary to build Vocabularies, from the bottom up or top down, and to manage Vocabularies over time.

Every page in knoodl.com is a wiki page and every resource (class, property, or instance) in a Vocabulary has its own page. The page for an individual Vocabulary resource is a wiki page and contains the formal information stored in the Vocabulary; it is one-half structured information and one-half unstructured. The wiki section of a Vocabulary resource’s page is used for documentation and communication. Using the wiki section, modelers can provide the entire context necessary to enable the general community to understand the Vocabularies. Without any requirement for modeling ability, business experts can contribute their domain-specific knowledge to the Vocabulary development process in the form of natural language text. Any members of the community can subscribe to any of the pages of concern to them via standard RSS functionality so that they will be notified when any changes are made.

Secure Collaboration

Communities in knoodl.com are governed using a role-based permission model enabling a role-based granting of editing privileges. Community administrators assign roles to community members based on their modeling ability and domain expertise. Knoodl.com is the ideal place for a wide community, composed of modelers and domain experts, to work together to capture the knowledge of their domain in a formal model.

Knowledgebase

A Vocabulary that has been populated with instances, creating a collection of concepts, facts and relations, is termed a knowledgebase. Knoodl.com  incorporates a scalable RDF store to manage any number of instances in a secure manner. The principal difference between a knowledgebase and a database is extensibility; the schema in a knowledgebase is naturally disconnected from the facts. A database operates using a fixed schema. New types of facts cannot be added to database systems without a fair amount of engineering work to accommodate the additions. When new types of facts are added, all of the analytics that had been built prior to the change typically break and must be recoded, tested and redeployed. Knowledgebases avoid these significant problems, providing a means for IT to provide more agility for their business clients.

Another difference between a knowledgebase and a database is that logical operators can be used to define relationships between facts allowing rules to be built into the Vocabulary. This enables a new paradigm in information management that we call Emergent Analytics^TM, the ability to automatically discover new facts from asserted facts or statements.

Using queries, a knowledgebase can provide precise answers to questions. A query to a knowledgebase is far more precise than a traditional keyword search. Consider trying to find the answer to the following question on the internet: “How many mountain ranges are in South America that have trails over 3 miles long at elevations of over 10,000 feet?” A search for the keywords “mountain”, “trails”, and “South America” would return a list of millions of pages, which may or may not hold the answer to your question. It could take hours to wade through the results and find an answer. A query to a knowledgebase of mountain ranges could be constructed, allowing this question to be answered quickly and precisely.