Ontology
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Make the system transparent to your analysis In information science, ontologies formally represent knowledge as a set of concepts within a domain, and the relationships between those concepts. Stated simply, ontologies basically describe the architecture of what you know. One of the unique capabilities of Quantum4D is that it allows you to leverage these in your analysis of systems. Whether market maker positions or supply chains, different systems have different frameworks that can be leveraged in both statistical and visual modeling. |
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| Ontologies are built up from entities, relations, taxonomies, and attributes on these. The best ontologies are 'transparent.' Meaning that you shouldn't be thinking about them or even aware of them when you use them. We suggest you don't worrry about ontologies at first. As you explore Quantum4D spaces you'll start to want to add your own structure. The basic concepts should then seem familiar and natural. |
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Data Standards You can learn more about Quantum4D leverages various standards here: Entity symbols: BICs, Ticker Symbols Taxonomies ( SIC, NAICS, GICs) Formal Ontologies (OWL, etc..) Complexity You can learn more about one example of how Quantum4D makes the complex simple by reviewing the Ontonix offering.
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Quantum4D – think next generation Excel plus PowerPoint plus Website builder all in one. Create dynamic models and views, link to live feeds or dynamically updating spreadsheets |
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