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Michael Lang, CEO presents, "The Next Forty Years" at Semtech East, Washington D.C.

Abstract: We are at an inflection point where the confines of existing data management practices are being exchanged for a more flexible, extensible platform.  Over the next forty years, data will evolve from siloed schemas and become completely distributed, machine readable, and useable without complex mapping and coding.   

Revelytix Release Rex and Spinner (Early Access)

Enterprise information management needs radical improvement: it hasn't really changed much since the relational database was invented. Spinner enables a true, standards-based data federation capability throughout and beyond the enterprise. Spinner employs a new information modeling and description technology, OWL and RDF, from the W3C standards organization.

Revelytix Announces Partnership with Global IDs

Firms are aligning efforts to apply semantic integration components in the areas of Master Data Management and Data Governance.

The combined offering represents a significant breakthrough in MDM and Data Governance, using a completely new approach to integrate data across disparate platforms and database architectures.  

New Software Products in Emergent Analytics Suite

Revelytix, Inc announces availability of Spyder, Spinner®, and Rex®.  These tools complement Knoodl® as part the Revelytix Distributed Information Management SystemTM (DIMS), a suite of software. DIMS is revolutionizing the way enterprises manage information. Based on the RDF, OWL, RIF, and SPARQL standards from the W3C, these tools enable a change in data management architecture of the scale that relational databases had in the mid 1980's.

Revelytix Releases Spyder Beta

Revelytix has released Spyder beta, a free tool to convert relational data to RDF. It implements R2RML ("relational to RDF mapping language"), which is still under development by the W3C R2RML Working Group. Spyder provides a SPARQL 1.1 end point for relational data and is designed to be a core component of a federated SPARQL-based analytic capability.

Revelytix wins NYC BigApps award

We're very proud to announce that NYC Data Web, Revelytix's entry in the NYC BigApps 2.0 contest, has won the contest's Large Organization Recognition Award. It's notable that NYC Data Web is fully ontology-driven: this is an early stage in the full realization of a model-driven approach to enterprise information.

Information Management Magazine Picks Revelytix as "Vendor We're Watching"

Information Management magazine has announced their list of "40 Vendors We're Watching in 2011," and Revelytix is on the list.

Here's what they're saying about us:

Revelytix releases OntVis, OWL ontology visualization for both business people and ontologists

There has never been an easy-to-use, easy-to-visualize capability to show the semantic contents of OWL DL ontologies. Without this feature, it is very difficult for ontologists to communicate the precise semantics of any domain to a subject matter expert or business person. Revelytix has devoted substantial resources to researching the issues in visualizing the precise semantics of OWL ontologies, designing a tool that addresses these issues, and then implementing the feature in knoodl.com.

Revelytix submits an app to NYC BigApp 2.0

Data, data, everywhere. Over 350 data sets (hot dog stands to campaign contributions) in over 350 different formats. The NYC Data Web, jointly developed by Revelytix Inc, TCG Inc and Spry Inc, shows a simple method using semantic technologies to integrate all of these different data sets into a single web of data that can all be queried using SPARQL. It also shows how to use open source dashboards to produce comprehensive analytics of the NYC Data Web. The task of analyzing all of this data just changed from nearly impossible to simple.

"The Federated Enterprise" on www.semanticweb.com

The Federated Enterprise appears today on semanticweb.com.

Michael Lang, CEO & Founder of Revelytix, weighs in on the degree to which federating information using semantic technology could compete with the capabilities delivered by data warehouses.