Welcome to Knoodl!

Knoodl is a Distributed Information Management System (DIMS)™, the first of its kind. It revolutionizes the way that large enterprises manage distributed data for analytic purposes. Combining semantic technologies with traditional information management technology, Knoodl leverages your existing web infrastructure for the purpose of managing all corporate data to deliver dramatic new analytic capabilities.

Knoodl contains tools for creating, managing, analyzing, and visualizing RDF/OWL descriptions. Its many features support collaboration in all stages of these activities. Knoodl's key component is a semantic software architecture that supports Emergent Analytics. Knoodl is hosted in the Amazon EC2 cloud and can be used for free. It may also be licensed for private use as MyKnoodl.

Knoodl is a product of Revelytix, Inc. For more information, visit the Revelytix web site or contact info@revelytix.com.

image/KnoodlBigBio.png

Check out the BioBIG communtity, home of Big Data analytics for Bio and Pharma!

Knoodl's capabilities include:

Develop

Manage

Create ontologies

  • Resource-by-resource editing
  • Ontology import/export
Collaboration

Ontologies and other Vocabularies

Queries Endpoint Registry

Analyze

Visualize

SPARQL Queries

Mappings to Relational Databases
  • Spyder supports R2RML W3C standard

Dashboards

  • Dashboard builder
Google gadget containers
  • Built-in: tables, bar charts, pie charts
  • Hosting for custom Google gadgets
Ontology Visualization

How does Knoodl work?

All content in Knoodl is organized into Communities. You can browse the list of Communities by clicking on the "Community" menu at the top of the screen and selecting "Directory." Within Communities, there are regular Wikis, and there are Vocabularies. A Vocabulary is basically a container for an RDF graph that lets you manage and analyze the graph. Specifically, you can edit the OWL ontology of the graph, you can import the graph into another Vocabulary, you can query the graph from the query editor, and you can discuss resources in the graph on discussion pages. Every resource (class, property, and instance) in the graph has its own page in the Vocabulary. A Vocabulary also has a built-in wiki feature that lets you add rich documentation to the pages for resources.

In the Knoodl Help Community, you can check out some Examples and see how to get started. See Endpoint Registry and OntVis for information on those specific Knoodl features.

Emergent Analytics

Emergent Analytics is enabled when a web of data is constructed which can easily be added to and modified to adapt to changes. In order to build this web, Knoodl must be used within a broader semantic software architecture. Revelytix produces two other tools that, when used in conjunction with Knoodl, enable users to easily construct an extensible information web from any number of existing data sources. The other two major components of this architecture are the Spyder and the Federator. The Spyder is used to expose data from any data source as RDF. Using the Relational Database Mapping Ontology, a user can describe exactly how the data should be exposed, in terms of an existing ontology. The Federator's purpose is to federate queries to a distributed system of Spyders. This means that you can submit a query to a single SPARQL endpoint exposed by the Federator and get results back from any data source exposed as RDF using a Spyder.

News

Here are some of our most recent anouncements and events:

January 2012

  • Revelytix announces new dashboard design tools for Knoodl. Our new view and dashboard tools allow quick and flexible display of query results. Knoodl users can display information in tables or simple charts using our built-in Google gadgets.

July 2011

  • Revelytix announces the latest release of Knoodl. This release includes the new Endpoint Registry, which allows users to register and query remote SPARQL endpoints. Other exciting features include easier navigation, an improved query editor, and a new home page layout with improved customization features for each community.
  • The improved query editor makes query writing easier. However, existing queries and views will no longer be accessible in this release.

March 2011

  • Revelytix announces its new ontology visualization tool, OntVis! OntVis allows unprecedented flexibility and accuracy in ontology representations, and will work for any vocabulary in Knoodl. To start, go to any resource page and click the "graph" tab. For help, see the OntVis help page. For examples, check out the OntVis community.

August 2010

  • A new Knoodl community, the Mapping Ontology Community, has been created to house the Relational Mapping Ontology and the Relational Database Schema Ontology.
  • In addition, this community serves as a repository for a plethora of further mapping-related resources, including a wiki-based User Guide to the Relational Mapping Ontology, ontology validation resources, etc.

July 2010

  • Two important ontologies have been made publicly available on Knoodl: Relational Mapping Ontology v 1.0 and Relational Database Schema Ontology v 1.0.

June 2010

  • Knoodl has been upgraded to the latest version of the Jena library.
  • The upgrade will allow users to upgrade to PostgreSQL 8.4.

For older announcements, please see our archive.