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.