COGNITIVE-MODELED USER INTERFACES

Movia VIEWS uses the models that describe the facts, entities, and relationships, coupled with models of the user interface components (icons, colors, lists, filters, search, etc.) to allow the data to guide the best representation of the information. Therefore an “employee” entity knows how to display itself—what properties, what images, and what cross-links to use to best describe itself.

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In Movia, each piece of data is a fact. Facts use semantic models to know how to display themselves. Each fact also has a pedigree, source, provenance, and a degree of reliability.

Clusters of facts create an entity, such as “John” or “Beth,” and so on.

Similar entities create a category, such as “Employees.”

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Relationships between facts are also facts.

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The Movia REASONER is used to fill-in-the-blanks in the data, match, merge, infer, and auto-classify.

Movia VIEWS uses the models that describe the facts, entities, relationships, coupled with models of the user interface components (icons, colors, lists, filters, search, etc.) to allow the data to guide the best representation of the information.

Therefore an “employee” entity knows how to display itself—what properties, what images, what cross-links to use to best describe itself.

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Movia VIEWS:

  • Is an ontology-driven, JavaScript framework
  • Creates HTML5 views that render in modern desktop browsers
  • Dynamically populates Views with content
  • Sources the data using RESTful Entity Management Service (EMS)
  • Supports Create, Read, Update, and Delete transactions on Semantic Entities

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For collaboration between users, Movia VIEWS supports an out-of-the-box, Semantic-Wiki user model where:

  • Text and Knowledge Graph search is supported
  • Related entities can be filtered, matched, and merged
  • Relationship, association, and membership are cross-linked for easy user navigation and data discovery
  • Users can add, update, and delete facts, entities and relationships
  • All changes are tracked via detailed provenance