sql2rdf

 

 

Incrementally update RDF on RDBMS changes, avoiding time consuming bulk load


Improved concurrency of replicated data


Reduced overhead compared with full materialization of data


Improved query performance compared with virtualization


Reduced configuration overhead by using R2RML mapping

rdf2model

 

 

Support SKOS, RDFS, OWL simultaneously, offering easy to use concept navigation with rigor of RDFS/OWL


Combine model precision of RDFS/OWL with flexibility of SKOS


Track not just the ‘state’ of entities but their lifecycle as well


Does not inhibit growth of model to any complexity

sparql2model

 

 

Rewrite SPARQL over federated datasources


Avoids writing complex federated SPARQL queries


Federation configured by VOID model


Federated query optimization

odata2sparql

 

 

Provide standardized RESTful interface to RDF that can be used by multiple applications


OData proxy for RDF triplestore


Infers metamodel from RDF model


Supports complex OData queries

  

lens2odata

 

 

Answer complex queries with easy-to-use graphical interface


OData metamodel driven query construction


Save and rerun searches


Pin queries to dashboard panels (Lens’)


Parameterized searches


Compatible with odata2sparql, providing Query Answering over Linked Data (QALD)

 

 

Data Reconciliation & Resolver

Excel add-in for Measurement Data Reconciliation


High performance, accurate, and robust algorithm optimized for the data reconciliation problem


Solver for linear, nonlinear, equality, and inequality constraints


Same model configuration as Excel Solver

Linked Enterprise Data Design and Deployment

Integration design and deployment


Replace your Data Cathedrals with Information Shopping Bazaars


Provide casual user information accessibility


Provide any user the ability to answer any question of any data