RESEARCH

 

The major commercial objective of EIS Encyclopedic Intelligent Systems Limited Company is to design, develop, and distribute a computer-based encyclopedic system of artificial intelligence with general knowledge, deep reasoning and commonsense understanding, all driven by the standard global ontology and semantics technology. Having the encyclopedic intelligence knowledge platform opens up a wide variety of new information technologies and pervasive computing applications such as:

*      Global ontology-based human knowledge integration systems and semantic networks;

*      Onto-semantic generic reasoning mechanisms and units;

*      World data processing physical cognitive systems, from smart transducers and intelligent sensors to all-purpose cosmic robonauts;

*      Natural language understanding software packages;

*      Knowledge intensive embedded reasoning systems;

*      Intelligent content systems for the Internet, as online smart encyclopedias, catalogues, taxonomies, vocabularies, and terminologies ;

*      Generic reasoning platforms and intelligent search technology for the Semantic World Wide Web, interactive home TV, etc.;

*      Encyclopedic intelligent applications, as e-business smart technologies, global web trading systems, forecasting business systems, business management e-consultancy, etc.;

*      Integrated intelligent solutions for e-Government, e-Learning, e-Science, e-Health, and e-Business;

*      Business intelligent technology providing generic industry solutions and autonomously implementing commercial processes, activities, transactions, and trading operations (e.g., logistic management systems, inventory management modules, enterprise resource planning agents, export-import brokering agents, etc.)

The projected lines of business are based on the proprietary intellectual copyrights on the master blueprint of standard global ontology formalism of entity classes and relationships, with their properties, value types, and instances, uniformly describing heterogeneous types and levels of reality. The integrated dynamic model (schema) of the world of things designed as the unifying framework for various knowledge domains and information representation formalisms is applied to major computing application areas: databases, information and software engineering, artificial intelligence, and semantic web.