Tag Archives: Data Modeling

Eclipse enhances SourceOne EKPS with ontology and knowledge graph capabilities

Eclipse Mining Technologies, provider of data technology solutions and developer of the SourceOne® Enterprise Knowledge Performance System (EKPS), has announced the launch of its latest release, marking, it says, a significant expansion of its product capabilities with its flagship platform.

This EKPS milestone comes as mining and other similar industries continue to face increasingly complex data challenges that coincide with the exponential acceleration in the development and accessibility of artificial intelligence tools. At the core of this latest release lies a schema that acknowledges the need for data to undergo a transformative process to become prepared for its utilisation by artificial intelligence tools and for knowledge generation.

Since its inception in 2017, Eclipse has been dedicated to developing a comprehensive solution that addresses the most pressing data-related hurdles, it says. The Eclipse team aims to meet this challenge head-on by incorporating cutting-edge technologies such as Data Ontology, Knowledge Graphs and Data Modeling into its existing architecture.

The new release details include:

  • An enhanced integration layer to achieve genuine data integration;
  • An ontology layer to enrich data meaning with extensive context;
  • A modelling layer with knowledge graphs to capture and visualise relationships between data objects;
  • Enhanced automation to provide answers on demand; and
  • The ability to incorporate advanced analytics (via external AI models) to unlock additional value.

According to Eclipse, data holds immense value, but only when it is actively used. The foundation of a knowledge system lies in extracting insights from data and empowering users to leverage that knowledge effectively. By employing ontology, computers can comprehend and interpret data, thereby enabling thorough analysis and operationalisation of information for practical use, it says. The introduction of a knowledge graph within SourceOne allows for modelling the unique complexities of each operation and provides a shared understanding of data across domains, revolutionising data integration capabilities, Eclipse says. With this release, data becomes a driving force that empowers users in ways previously unimaginable.

Susan Wick, Eclipse CEO, said: “Industries identified a long time ago the challenges they face with the vast amounts of data they are collecting. But what do they do with that data? How do they process and benefit from it? And is it only available to a few data scientists or across business units, allowing everyone to meet the challenges of their job by leveraging the relevant data with which to improve their results? True knowledge management necessitates a framework to make it successful and useful outputs to make it consumable. That is precisely what an EKPS offers and what conventional data management systems were never designed to achieve. Technology is now meeting these needs, and SourceOne is defining the path.”

Fred Banfield, Eclipse’s Chairman, added: “The use of ontology and knowledge graphs will provide guidance on where data is, how to access it and what tools should be used to analyse it, and even what to do with the results. Providing users with tools is not enough, without the guidance provided by ontology and knowledge graphs, which make use of the collective experience of past practitioners.”