Linked Enterprise Data Offerings

Lens2Demo

Repository Demo Graphs + RDF4J 3.6.3 + IntelligentGraph + OData2SPARQL + Lens2OData bundled into a single container
Graphical search, discover, and explore UI connected to OData proxy server publishing IntelligentGraph-enabled RDF4J RDF data

         Docker image available:  inova8/lens2demo

IntelligentGraph

IntelligentGraph enabled repositories can be created using one of the following RDF4J Repository types
MemoryStore + IntelligentGraph NativeStore + IntelligentGraph NativeStore + Lucene + IntelligentGraph

         Docker image available:  inova8/intelligentgraph

IntelligentLab

IntelligentGraph enabled Jupyter workbench with SoS,  IJava, and SPARQL kernels installed
Ideal as the IntelligentGraph IDE

         Docker image available:  inova8/intelligentlab

sql2rdf

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

Source code on GitHub 

sql2rdf 

rdf2model

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

Full technical description rdf2model

sparql2model

Rewrite SPARQL over federated datasources

Source code on GitHub 

sparql2model

odata2sparql

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

Technical description

OData2SPARQL.v4

Source code on GitHub

odata2sparql.v2 for ODataV2

Source code on GitHub

odata2sparql.v4 for ODataV4

lens2odata

Answer complex queries with easy-to-use graphical interface

 

Answer complex queries with easy-to-use graphical interface

lens2odata

Source code on GitHub

lens2odata

Software Development Productivity

Software Development Productivity Model.xlsx

 

An Excel  spreadsheet version of the Software Development Productivity Model described here that you are free to download and use for your own estimating. I hope it works as well for you as it has for me.

Software Development Productivity Model

Data Reconciliation

Resolver Technical Documentation.pdf

 

A detailed description of the algorithms and analysis used within the Resolver data reconciliation engine.

Resolver Technical Documentation

Measurement Uncertainty.pdf

 

The objective of this paper is to arrive at simplified yet realistic uncertainties by making some generally applicable assumptions with regard to the installed conditions of the flow measurement device for typical installations.

Measurement Uncertainty

Resolver.msi

 

Resolver is an Excel add-in that performs data reconciliation using a high performance, accurate, and robust algorithm optimized for the data reconciliation problem. It uses the same problem setup as the Solver Excel-add-in. In fact the problems are interchangeable. You can setup and solve a problem in Resolver and then use the same setup and problem definition to try and solve it with Solver, just in case you want verification of the results!

Resolver is not limited to trivial problems: it has been tested with hundreds of variables, and hundreds of linear, non-linear, and inequality constraints/balances. 

Resolver produces all of the global, measurement, and constraint/balance diagnostics that you would expect. With the results presented in Excel, it is easy to use these diagnostics to analyse and locate the underlying problems.  

Now Resolver has been updated with improved inequality convergence and sensitivity analysis.

https://github.com/peterjohnlawrence/com.inova8.resolver.excel/ResolverSetup/Release/ResolverSetup.msi

Resolver setup.zip