Patents

Metatomix is the thought leader in the semantic technology arena.  This statement is backed by Metatomix’s four patents, on which details are provided below.

Methods and Apparatus for Querying a Relational Data Store using Schema-less Queries

Filed: October 29, 2001 / Granted February 15, 2005  
The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.

Methods and Apparatus for Real-time Business Visibility Using Persistent Schema-less Data Storage

Filed: November 21, 2002 / Granted August 2, 2005
The invention provides methods for enterprise business visibility that transform any of marketing, e-commerce and transactional from a plurality of legacy and other databases into resource description framework (RDF) syntax.

Methods and Apparatus for Identifying Related Nodes in a Directed Graph having Named Arcs

Filed: October 7, 2003 / Granted October 11, 2005
The invention provides methods for identifying related data in a directed graph (e.g., an RDF data set). A “first” step—though the steps are not necessarily executed in sequential order—includes identifying (or marking) as related data expressly satisfying the criteria.

Methods and Apparatus for Enterprise Application Integration

Filed: July 27, 2001 / Granted June 6, 2006
A method for enterprise application integration that uses “connectors” that can be instantiated via downloading (e.g., using Java® or other such technologies) to provide interfaces to respective disparate database systems. The databases systems may comprise any variety of now or heretofore known systems, e.g. SAP, Oracle, and so forth. The connectors can, for example, translate between a native language (or API) of the respective database systems and an internal language/protocol of the enterprise application integration system. To this end, the connectors can utilize a scripting language to access the respective database systems. Data retrieved from the database systems can be stored in a central data store in the form of RDF triplets, from which directed graphs can be generated for to generate presentations consolidated from the multiple database systems