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Knowledge Evolution - Experience

Semantic Technology
  • We are experts in Semantic Web (Web 3.0), Open Linked Data, No-SQL Databases, and Ontology Modeling.
  • Knowledge Evolution designed and implemented a Data Broker integrating several internal and external databases. The broker was designed to be a general-purpose open-data system that can be deployed in other organizations to connect data sources and destinations. The broker achieves its generality by using a schema-less RDF database, and by making extensive use of Java reflection to support the addition of new sources and destinations through XML configuration files, with no additional Java coding required.
  • Knowledge Evolution helped NYULMC adapt the OWL-based Eagle-i resource sharing system to their environment. Eagle-i, developed by Harvard Medical School, uses OWL and SPARQL to allow medical research institutions around the country to discover and share each other’s non-proprietary resources. We worked closely with the Harvard team to specify enhancements needed for non-disruptive integration with the NYULMC environment, and to integrate these enhancements as optional functionality in future public releases of Eagle-i.
  • Knowledge Evolution and Working Ontologist developed a semantic reasoning tool that provides space system engineers with feedback on potential problems in a system design. The tool analyzes spacecraft system designs expressed in the SysML modeling language. The tool converts the SysML to RDF, and applies a series of design rules formulated as queries in SPARQL in order to identify potential problems. The tool provides a dashboard-like user interface that allows the engineer to resolve any identified problems and to capture the resulting knowledge as lessons learned, which can then be applied to future analyses.
  • Customer: OECD (subcontract to Franz, Inc.), Application: Semantic Model for Document Database
  • Knowledge Evolution is helping the Organization for Economic Development use RDF/OWL to formalize the descriptive vocabularies underlying their statistical document database.
  • Knowledge Evolution served as an architect, ontology modeler, and Java/SOA software developer for the Frontier project under DARPA’s System F6 Program. We developed the high-level design and implementation of a “semantic bus” that allows space-system engineering tools to interoperate with each other without necessarily having been built for that purpose.

    Tools export and import data to/from the semantic bus using an XML format that is directly translated by Frontier into and out of OWL. This provides not only syntactic interoperability of tools, but just as importantly, semantic interoperability, meaning that the export/import of data to create tool execution chains is based on meaningful data transformations.

    Thus, the space system designer or engineer can exploit the power of a wide range of tools without having to worry about their mutual compatibility or consistency. The Frontier semantic bus uses RDF/OWL and the Sesame Triple Store as the backend of the overall system. Knowledge Evolution also supported the design and implementation of the Drupal-based user interface.

    In addition, we were responsible for managing the agile (modified Scrum) software development process involving a large team of widely distributed contractors with widely differing skill sets and discipline backgrounds.

  • Customer: Amdocs, Inc., Application: Amdocs Intelligent Decision Aid (AIDA)
  • The Amdocs Intelligent Decision Aid (AIDA) is a real-time business intelligence system that uses semantic technology to make predictions about the meaning of business events and recommendations for response.

    Knowledge Evolution served as an ontology expert and software developer in support of AIDA. The work began with training the Amdocs team in semantic technology (RDF, OWL, SPARQL), then developing a knowledge architecture, performing analyses of technology selection alternatives, and implementing key subsystems of the software.

  • Knowledge Evolution helped develop a semantic infrastructure (OWL, RDF, XML) for NASA's next generation of manned space exploration systems. This work included technology trade studies, examining alternative methods of representing Telemetry and Command formats, alternative compression technologies for transmitting semantic data, and alternative conversions between XML/XML Schema and OWL/RDF, including dialects of XML such as SysML, SensorML, and UML.

    The work also involved substantial ontology modeling, including an ontology for units of measurement, one for telemetry and command data, and other aspects of space system design and operation.

    Knowledge Evolution also provided analysis and software development support for tool integration, developing pragmatic methods by which tools currently used by NASA engineers can provide data to and access data from the ontology models.

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