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EIS ENCYCLOPEDIC INTELLIGENCE PLATFORM:
Future World Projects and Innovative Applications
“All the sciences are conjoined with each other and interdependent”…” The sciences taken all together are
identical with human wisdom…”
Where is the Life we have lost in living?
Where is the wisdom we have lost in knowledge?
Where is the knowledge we have lost in information?
‘’… the lack of a common frame of reference, the absence of any unifying set of concepts and principles, is
now, if not the world's major disease, at least its most serious symptom.’’
Julian Huxley, the first Director of UNESCO
I. The World Encyclopedia, or Ontopaedia
II. Global Knowledge Base
III. Big Science: Integrating Science and Technology, Arts and Philosophy
IV. World Knowledge Graph: Smart Web Search Schema
V. Future World Projects: Smart World, Continents, Countries, Cities and
BIG Knowledge WORLD vs. BIG Data WORLD
ENCYCLOPEDIC INTELLIGENT CONTENT FOR COMPUTING MACHINES AND
NATURAL INTELLIGENCES, KNOWLEDGE NETWORKS AND COGNITIVE
TECHNOLOGIES, FUTURE INTERNET AND SEMANTIC WEB, SMART CITIZENS
AND INTELLIGENT GOVERNMENT; ENCYCLOPEDIC MINDS AND
INTELLIGENT SYSTEMS; BIG DATA AND KNOWLEDGE BASES:
WORLD > KNOWLEDGE, COGNITION >
Mind; Information, Data; Practice; CONTENT >
Idea, Thought; Wisdom; Education; Culture; Representation; Experience; Belief;
Tradition; Metaknowledge; Knowledge Base, Knowledge Domain > Discipline,
Branch of Knowledge > Science, Scientific Knowledge > Applied Science,
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Modern humanity is deluged by the flood of data, fast drowning in the ocean of information. As of 2012,
every day 2.5 quintillion (2.5×1018
) bytes of data were created. Data are generated and quantified,
collected and collated, managed and processed, searched and shared, storaged and visualized, tabulated
and classified, analyzed and systematized, to be ultimately used as a basis for inference and induction
respecting causal correlations and probable future trends. Data, as quantity or number or measure or
reading or size or extent or magnitude, relate to any changing states in physical, organic, social or digital
domains: from human populations, births and deaths, health and diseases, marriages and divorces, crimes
and accidents, to all sorts of traffic, air, commuter, foot, vehicle, drug, trade, or internet. Becoming
valuable information assets and marked by quantity and quality, amount, speed and variety, or range of
data types and sources, huge amount of operational data are coming online from various advanced
equipment and systems, mobile devices, sensors and applications, transforming the Industrial Internet into
the Internet of Everything.
Such Big Data is looking for new forms of intelligent processing to enable fast decision making, insight
discovery, process optimization, smart governance and intelligent policy.
The Big Data World, as massive, complex dynamic data sets of petabytes, exabytes, zettabytes, and now
yottabytes, the internet traffic in 2014, and soon googlebytes, the internet of everything, is badly
harnessed by modern analytics information systems aimed after the discovery and communication of
meaningful patterns relying on statistics, computing programming, operations research and data
visualization. The $4b yotabyte facility is already coming on the public market, branded as the
Community Comprehensive National Cybersecurity Initiative Data Center, to capture all forms of
communication, mostly unstructured information of private emails, cell phone calls, and Internet searches,
and all sorts of personal data trails.
The McKinsey Global Institute estimates that big data analysis could save the American health care
system $300 billion per year and the European public sector €250 billion, what stimulates innovation in
the modern analytics information systems and intelligent machine analysis and new ideas in presentation.
Now, being high volume, high velocity, high variety, and high complexity information assets, big data
really requires new integrated and intelligent forms of knowledge presentation rather than new
instrumented forms of processing…"The Importance of 'Big Data': A Definition". Gartner.
In the infinite world of infinite things, a number of possible datasets, as series of values of variables, are
virtually numberless, and largely useless, as it’s evidenced by the Web and Big Science. For example, the
Large Hadron Collider experiments, in all, involve about 150 million sensors, which registered data flow
would exceed 150 million petabytes, while practically working with less than 0.001% of the sensor
In all, to effectively combine multiple sources of big data and massive data sets, we need unifying
conceptual frameworks alongside statistical analysis, we need to create the overarching principles and
assumptions, categories and classes, rules and laws, all what transforming the unstable Big Data World of
data flows and information resources into the Big Knowledge World of knowledge flows and intelligent
resources, or the Smart World. Information overload is a kind of resource curse today
In a Fundamentally Changed World, there is a Natural Need in Global Intelligence, Global
Knowledge and Global Knowledge Networks, being embodied as Encyclopedic Intelligence
Platform, branded as the Encyclopedic Intelligent Systems (EIS) Platform.
Some futurists believe that “the 21st century will be equivalent to 20,000 years of progress at today’s rate
— about 1,000 times greater than the 20th century.” There are promised many mind-boggling disruptive
technologies and human life changes like as much extended human lifespans by replacing organs by 4D
printing or virtual scanning and uploading our brains to the cloud, be it the EIS Cloud. All this and more
might be true provided the 21st
century will be the age of the Big Knowledge World, or the Smart World.
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The EIS Platform is an open encyclopedic intelligence project providing the world's knowledge base
for enabling complex cyber-physical intelligent systems, the smart territories of the future, and
sustainable communities of different types, scales and scopes.
Encyclopedic Intelligence’s structural principle is an organic unity of knowledge, dynamic integrity of
data, integrated wholeness of world information, total completeness of models and strategies, unified
analytics and fundamental methodologies, inclusive integrity of systems, and structural totality of things,
constituting the Big Knowledge World.
It is an ultimate solution for all sorts of fragmentarity, fractionality, partiality, and incompleteness of
things, as raw data, knowledge, information, models, devices, technologies, resources, education,
planning, policies, initiatives, strategies, measures, operations and actions. It totalizes the Big Data World
of parts and portions, components and divisions, details and fractions, sections and segments, pieces and
particulars, parts and items, biases and prejudices, constituents and elements, etc. into oneness, unity,
integrity, networking, completeness, entirety, totality and wholeness of parts.
ENCYCLOPEDIC INTELLIGENCE or ARTIFICIAL INTELLIGENCE
Encyclopedic Intelligence, EA, is overriding Artificial Intelligence, AI, as the power of a digital computer
or computer-controlled robot to perform the intellectual processes, characteristic of humans, such as
intelligence, brain, mind and intellect, cognition and reasoning, discovering meaning, natural language
understanding, deduction and induction, planning, gaming, and learning from experience. Such an
nonobjective approach, a cognition is always an immanent act of the mind, was a key reason of missing
high expectations, seen from the current listing of AI specialized projects in brain simulation, cognitive
architectures, games, knowledge and reasoning, natural language processing, planning, software libraries
of data mining and intelligence algorithms, cloud computing, and robotics, motion and manipulation.
As a prominent example of the EIA paradigm, it could be mentioned Grand Challenge 5 –
Architecture of Brain and Mind, a UK attempt to understand and model natural intelligence at
various levels of abstraction, being embodied in a succession of robots.
As another prominent example of the EIA approach, it could be mentioned Synthetic Environment for
Analysis and Simulations (SEAS), a model of the real world used by Homeland security and the
United States Department of Defense that uses simulation and AI to predict and evaluate future
events and courses of action.
In all, EAI is to pursue building AI, reasoning systems and thinking technologies, as well as intelligent
global communities and smart cities, but on a scientific objective paradigm, modeling the world of
entities and relations, where understanding, establishing or predicting possible relationships among things
make the core of real intelligence. http://www.sciencecentral.com/site/4538138
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SMART WORLD or SMARTER PLANET
The Encyclopedic Intelligence Platform is enabling the transformation of the Big Data World into the Big
Knowledge World of Internet of Everything and Intelligent Communities, presented as a Smart World of
As such, it forms the base for such world-scale AI projects as the IBM Smarter planet, turning
information into insights by advanced analytics and infusing intelligence into the world’s systems and
processes, as cars, appliances, roadways, power grids, clothes, natural systems, as agriculture and
waterways, and global supply chain, improving government operations, public safety systems, healthcare,
energy flow and traffic management.
Demographic, environmental, economic, political, and socio-cultural factors are forcing the future world
to become more efficient, rational, dynamic, intelligent, technological, and self-sustaining, or smart and
sustainable. The 21st century necessitates the wholly new development principles, policies, processes, and
objectives: sustainable world strategies, comprehensive planning, integrated models, and globally
effective solutions, casting away the old world-systems models as dividing the world into core zones,
specialized in information, finance, service, or high-technology industries, transitory semi-periphery
countries and undeveloped periphery zones.
The sustainable world system is expected to synergistically driven by natural capital, social capital,
technological and digital capital, like as the Global Internet/Web of Things, Knowledge and Social
Intelligence and Renewable Energy Sources. Such a New World is emerging as a Smart World,
converging the Cyber, Social, and Physical Domains.
The Smart World concept makes a foundational framework for the whole European Community, its EU
2020 Strategy for smart, sustainable and inclusive growth. The Smart World concept makes a basis for
global industrial initiatives of the IBM's Smarter Planet and the Cisco's Intelligent Urbanization as well as
the Eco City development models.
The power of Smart World consists in its capacity to merge three different worlds as one integrated
whole: an Eco World, Digital World and Social World. It thus unifies the ecological principles of the eco
world development, the technological principles of the information world development, and the social
principles of the human world development. Accordingly, a truly sustainable community (city, region, or
country) is a geographical entity which is digitally smart, socially intelligent, and ecologically sustainable.
Geographically, a Smart Community can be a real estate/property development, an urban economic
development zone, a city, a district, a region, a mega-region, a country, an international community, or a
At the community level, the Smart World is a Smart Eco Planet of intelligent sustainable communities:
countries, regions, cities, towns, villages, districts, and neighborhoods. The Smart Eco Planet is mostly
about intelligent communities, natural ecosystems, digital economy, intelligent people, smart governance,
smart transport and intelligent ICT networks, smart environments, eco-smart living and creative working
in intelligent eco-buildings, cities, regions, countries, forming a global innovation ecosystem.
WORLD-WIDE DINAMIC FRAMEWORK, TOTAL ONTOLOGY, OR GLOBAL
SCHEMAS OF THINGS
A global ontology of the world (GOW), universal ontology of things, is about primary entities and
relationships of the world and its cascading domains. It provides a comprehensive, consistent, converging
and merging holistic dynamic framework, for all specific frameworks and schemas, theories and models,
systems and strategies, standards and structures, rules and policies, procedures and processes,
representations and believes, of all knowledge domains, disciplines, sciences and technologies.
Thus the scope and range of applications for GOW is virtually unlimited, from physical ontology to geo
ontology, gene ontology to biomedical ontology to social ontology, from connecting data across the net to
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a global earth platform, from internet of things to semantic web, from smart applications to smart cities,
The Encyclopedic Intelligence Platform integrates the upper, top-level or foundation ontology, ontology
systems of reference concepts, relations and semantic primitives, to be used for semantic
interoperability, annotation, indexing, and retrieval, web-scale semantic data exchange,
federation, and inferencing.
It is the knowledge base for such large-scale AI projects as CYC, lacking fundamental world ontology,
but attempting to create a comprehensive ontology and knowledge base of everyday common sense
knowledge to enable AI applications with human-like reasoning capacities.
Nowadays, “ontology” is widely used to mean almost everything: controlled vocabularies, glossaries &
data dictionaries, thesauri & taxonomies, schemas & data models, domain models, formal ontologies, rule
inference systems, and what not.
Global Ontology, domain ontologies, semantic models, and unified data schemas are all the rage and furor
in the information sciences and computing technologies. And many just try to follow the latest fad,
without going into its depth and breadth. The roots and sources of ontologies are coming from, universal,
global, foundational ontology, the source of all sorts of domain theories and applied ontologies.
We proposed to think of Global Ontology of the World as putting the universe in the human heads, in the
way of general intelligence. Hence the formal global ontology is putting the world in the computing
machines, the internet, and the World Wide Web, thus structuring the whole digital world and bridging it
with the physical counterpart.
We developed an integrated schema of the world, its things, concepts, knowledge and data:
Integrated World Ontology = Global Ontology + Domain Ontologies +
Knowledge Domains + Big Data + Statistics
The world representation is distributed between a central ontology (maintaining a global schema, general
semantics, and common interoperability framework), multiple regional ontologies with own local
schemas and specific information sources and knowledge domains.
One can merge ontologies of different schemes, languages, scope, degree, granularity in several ways,
like the different cultures in a society: a) multiculturalism (multi-ontologies, loose and free as birds, like a
bottom-up folksonomy, a people's taxonomy); b) melting pot (mixing and amalgamating ontologies); c)
monoculturism (absorbing all the numerosity of ontologies into a single whole); d) core culture
(Leitkultur, a top-bottom globally federated ontology).
In the Reality book (Reality, Universal Ontology and Knowledge Systems, IGI Global, 2008), it’s proved
that the Global Ontology not just a matter of feasibility or worth, but an ultimate object of quest for
fundamental knowledge and large intelligent applications.
BIG ENCYCLOPEDIA, or WORLD ENCYCLOPEDIA, or ONTOPAEDIA™
The Encyclopedic Intelligence Platform Encyclopedia, Ontopaedia, comprises the Knowledge In Depth of
Encyclopedia Britannica, Wikipedia Categories and WordNet Lexical Base, as well as Upper
BIG SCIENCE, or TOTAL KNOWLEDGE
The Encyclopedic Intelligence Platform is critical for the Big Science projects, as the Large Hadron
Collider, the Human Genom Project, the Internet of Things, Intelligent Cities, etc.
Totalizing Science, Technology, Arts and Philosophy, the EIS Big Science of Big Data allows
intelligent agents, humans and machines, to meaningfully process an ocean of information to be
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turned into insights, patterns, trends, predictions, business models, discoveries, innovations, new
knowledge, and wisdom.
The Total Science meets the need of for a New Multi-Level Complex Systems Science dealing with our
complex world of strongly connected, techno-social-economic ecosystems.
As such, it is the knowledge platform for the multi-billion EU Big Science Multi-Disciplinary Project,
integrating many different research areas, as ICT, Complexity Science and the Social Sciences, to
combine the best of all relevant knowledge as the Knowledge Accelerator.
The EIS Platform underlies a global ICT Participatory Living Earth Platform, a simulation, visualization
and participation platform to support decision-making of policy-makers, business people and citizens, 1
bn EU FuturICT project aimed to understand and manage complex, global, socially interactive systems,
focusing on sustainability and resilience. As the research priorities and applications, it is planning smart
cities (as more than 50% of the world population is now living in cities), smart energy systems (as micro-
generation of electrical power will increase the number of independent energy providers multiple times),
smart health systems (to ensure a high quality of life in an ageing society at affordable costs), and better
financial architectures (to reduce the related societal losses). FutureICT. Global Computing for our
Complex World. http://www.futurict.eu/
SMART WEB, or TOTAL WWW
The Encyclopedic Intelligence Platform essentially enriches the schema simulations, markup
schemas, a hierarchy of basic types and properties, for advanced search engines of Bing, Google,
Yahoo! and Yandex. For “the type hierarchy presented on this site is not intended to be a 'global
ontology' of the world. It only covers the types of entities for which we (Microsoft, Yahoo! and
Google), think we can provide some special treatment for, through our search engine, in the near
The Encyclopedic Intelligence Platform underpins both the Web 2.0 collaborative tagging, social
classification, social indexing, social tagging, or folksonomy, and the semantic web standard
vocabularies and web ontologies for data integration, knowledge organization and reasoning as RDF and
RDF Schemas, Simple Knowledge Organization System (SKOS), Web Ontology Language (OWL), and
the Rule Interchange Format (RIF).
It makes a core for the Linked Open Data (LOD) seeking to connect distributed data across the cybernet,
with the LOD cloud aiming to enable people to build “mash-ups” by combining data from multiple
The X.0 Web, the Web of Everything, is characterized by the hierarchical structure anchored in the real
world environment via the global ontology groundwork for the semantic web stack, see Fig.1, as below:
<Global Intelligent Cyberspace, Total Web> :: = <Ontological Framework, WDF, or RMF> <Semiotics>
<the World Wide Web, or the Syntactic Web>
<Ontological Framework> :: = <Unified Framework Ontology, Ontopaedia> <Upper Level
Ontologies> <Domain Ontologies>
<Semiotics> :: = <Pragmatics> <Semantics> <Syntax>
<Pragmatics> :: = <Users> <Web Agents> <Intentions> <Actions> <Communication> <Proof> <Trust>
<Semantics> :: = <Signs, Data Type, Natural Language Expressions> < Constructs> <Meanings>
<Syntax> :: = <Logical Framework> <Rules> <OWL Ontology> <RDF Schema> <RDF M&S>
< RDF> <XML/SGML> <Namespaces>
<the Web> ::= <Resources, Representation, Identification, URI, Unicode> <Interaction, Software
Agents, Hypertext links, Protocols, HTTP> <Formats, HTML, XHTML>
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The central idea of the Total Web is rather simple: a global and standard ontology is a universal
classification schema, common code of meanings and rules for a web of data, a construction frame for AI
systems, smart webby things, social tagging, semantic technologies, powerful programming tools and
applications employing semantic web technologies.
Fig.1. The Semantic Web Stack
GLOBAL KNOWLEDGE GRAPH
The Encyclopedic Intelligence Platform, with its conceptual core of Global Knowledge Graph, makes the
substance for Google’s Knowledge Graph of interconnected entities and their attributes, using the entity-
relationship database model. Tapping on Wikipedia, Freebase and CIA World Factbooks, it is
currently containing more than 500 million people, places and things that have about 3.5 billion attributes.
The graph presents an encyclopedia with structured information obtained from the web to help
understanding queries, provide answers to complex questions and find more relevant results. It capitalizes
on FreeBase, a community-built online collection of databases, an open database of the world's
knowledge, a massive, collaboratively edited database of cross-linked data, and where an
interface affords to fill in information structured with metadata, and to categorize or connect data
items in meaningful ways. Thus its makes a paradigm shift from the word-matching query to
seash by things themselves, where the AI-like intelligence consists in understanding the
relationships among things.
INDUSTRIAL INTELLIGENT PLATFORMS
The EIS Platform underlies the Siemens Intelligence Platform designed for organisations related to • Law
Enforcement; • Government; • Other investigative organisations, and aiming for data integration.
It underlies the GE Platform of Industrial Big Data Analytics to bring meaning and context, insights and
value, patterns and trends, improving operational and financial performance of real-time operations
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The EIS Platform supports the Oracle iGovernment technology platform for innovative, integrated, and
intelligent operations, to integrate across agencies and all levels of government, to modernize the IT
infrastructure, to increase efficiency and transparency, to deliver shared services, streamline and automate
policy and processes, ensure the integrity of operations, providing a common service delivery for
government functions, from human services to public safety to economic development.
The EIS Platform is fundamental to the IBM Platform for Search, Discovery and Navigation of Big Data
involving information integration and governance, Hadoop system, stream computing and data
warehouse, big data connectors (web, web 2.0, email, file systems, large data bases, feeds), search engine
with text analytics and metadata and application framework.
The EIS Platform is fundamental to any big knowledge scheme lacking open-source software platform for
data-intensive distributed applications, as the Apache Hadoop platform consisting of the Hadoop kernel,
Google’s MapReduce and Google File System, Hadoop Distributed File System, Apache Hive, Apache
HBase, Zookeeper, and other data bases, warehouse systems, file systems and web applications, for Log
analysis, Marketing analytics
Machine learning and data mining, Image processing, Processing of XML messages, Web crawling and
text processing , General archiving, etc.
The principal solutions are not in the way of tools and instrumentation, as an advanced technology
platform of servers and storage, virtualized operating environments, database, middleware, and
applications built on open standards and a service-oriented architecture.
The substance of Big Data lies in the Big Knowledge, in the encyclopedic intelligent content, like upper
and domain ontologies, total schemas and full taxonomies, to be integrated by comprehensive knowledge
models, multidisciplinary sciences and global ontologies.
In the Big Data World, computing machines store, process and retrieve information, while humans
impose structures and patterns, intelligence and meanings, context and value, insights and knowledge,
predictions and trends. For the key is to extract big knowledge from Big Data, creating the Big
Knowledge World of instrumented, integrated and intelligent data and information. Big science, social
web networks, RFID and sensor networks, mobile applications and cloud systems, social networks, as
Facebook, Twitter, YouTube, offer a massive amount of data in real time, with a lot of opportunities to
create, share, publish and mine data online.
But, like raw crude, raw data in and of itself, however fast, big and varied, – without a structure and
strategy and pattern around it – isn’t of any true value, both for humans and machines.
The key thing is establishing the fundamental structure of massive data sets, like DARPA’s
Topological Data Analysis program seeking the fundamental structure of massive data sets and
the tools to exploit that knowledge. More and more sophisticated technologies are introduced to
process large quantities of data, such as massively parallel-processing databases, data-mining
grids, distributed file systems, distributed databases, cloud based applications, storage and
computing resources and the Internet itself. The genuine fundamental structure of massive data
sets and the tools is made of comprehensive knowledge models and strategic schemas and
universal reasoning algorithms, incorporated as a global ontology of the world and its integral
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Interoperability is a critical idea needing depth and breadth and common foundation framework. Its extent or scope
is as wide as railways, public safety, government, telecommunications, medical industry, business, and software. Its
depth as different as physical interoperability, business process interoperability, computing interoperability,
information interoperability, syntactic interoperability, semantic interoperability, or conceptual interoperability; or
industrial, national, international or global interoperability.
In general, Interoperability implies common standard, formats, categorizations and integration, unifying models and
schemas, like as the software interoperability − the same data formats, the same communication protocols, and the
same binary codes.
The General Interoperability Framework, GIF, looks closely connected with a world/domain reference model as
common foundation ontology. What ideally makes an all-purpose world model/schema providing the foundation
basis for specialized domains as well as supporting various forms and levels of interoperability, technical, semantic,
Thus any thing, product, system, agent, service, network, or technology to be interoperable must be compatible with
the same standard, ideally, with a standard ontology reference framework.
For example, for the information exchange interoperability, there are nation-level programs as EU Interoperability
Framework, USA NIEM, or UK e-GIF.
Take the US National Information Exchange Model: “It is designed to develop, disseminate and support enterprise-
wide information exchange standards and processes that can enable jurisdictions to effectively share critical
information in emergency situations, as well as support the day-to-day operations of agencies throughout the
Its syntactic operability is to be achieved by using the XML Schema data model, constructs, and methods,
seemingly, thus supporting existing “legacy systems”, across all levels of the Government, federal, state and local.
However, the issue of issues is how to achieve computable Semantic Interoperability, among any and all
communicating entities, legacy ones or not. Seemingly, it’s only by developing the GIF implying a standard system
of entities and relationships, providing the semantic basis (meaning exchange/interpretation standards and processes)
for more specialized domains and fields and applications.
Given that, to obtain the General Semantic Interoperability standard, costing hundreds billions per year, means to
develop a single world reference model, of which the global geo ontology is the foundational part.
GLOBAL ENVIRONMENT INFRASTRUCTURE: Planetary Geo-Space Applications
The Earth/Environment Monitoring and Measuring Networks Infrastructure is under active development, including
seismic monitoring, tidal monitoring, meteorological monitoring, and fluviometric monitoring networks, as well as
GPS, EOS, Geodetic benchmarks, and Geospatial Data Infrastructure. But it needs a dynamic integration of data,
processes and functions, leveraging the WWW as a global data space with its new applications as social networking
sites oriented data space communities and enclaves.
As such, it the global geo ontology could be a roadmap strategy for the most innovative solutions to emerging global
problems. Take our current unsustainable world plagued with all sorts of threats, risks and crises; namely, a critical
sample of the global schema, the Global Risk Model: Since 2004, the World Economic Forum has been producing
Global Risk Network Reports and Risk Interconnection Maps, seeking to systematize global threats (now numbered
as 37 risks) under several broad categories, Economics, Geopolitics, Environment, Society and Technology, but
without any big success to predict them.
One of the principal reasons why the big threats, as financial (the current deep economic recession), technological
(the Japan ongoing nuclear crisis), environmental (the catastrophic oil gush in the Gulf of Mexico), geopolitical (the
Arab revolutions) could not be predicted is the lack of the Global Risk Management Ontology, describing and
monitoring global challenges by systematically organizing all possible planetary risks, with there location, scale,
causes, impacts, effects, costs, and preventive measures, political, economic, social, or technological.
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If it was a must at least a 3D Facility Information Model, acting on a generic GEO ontology, and successfully
applied in the AEC industry, then the authorities and general public could know how to prevent and whom really to
blame for the catastrophic oil gush in the Gulf of Mexico: The rig owner (Transocean, its safety systems and
devices); the blowout preventer faulty design (Cameron Int); the cement contractor (Halliburton). As a result of
lacking the FIM, now the public should observe their rows in the federal court, where BP is suing Transoceanic for $
40b in damages, while the latter one goes against BP, HB, and many other companies and suppliers, with no visible
end and use for the public.
But the saddest result, it is al the suffering of simple people and bad disturbing of the ocean food chain. And its all
comes by defaulting the ontology-driven Facility Information Modeling Systems.
Here is another technogenic disaster, the Japan’s ongoing nuclear crisis, which could be prevented by following a
simple mechanical geo-ontological ruling:
“Japan is located in the earthquake zone. Nuclear power stations are banned in the earthquake zones. Japan is
prohibited to have nuclear power stations”.
Having developed the Global Geo-Ontology Reasoning System, the globe has never had the Fukusima nuclear
accidents. And let’s remember, the world has about 440 reactors, and most of them are risky, following different
nuclear energy policies and safety standards.
Developing a GLOBAL GEO-ONTOLOGY affords such global web-based geographic applications as the Digital
Earth addressing natural disasters response, as well as natural resource depletion, food and water insecurity, energy
shortages, environmental degradation, , population explosion, and global climate change, the Beijing Declaration on
Global Geo-Ontology and Ontological Geo-Space
A comprehensive, strategic spatial planning, integrating global spatial planning systems, land use planning, urban
planning, regional planning, natural resources planning, social planning, economic planning, and environmental
planning, implies a multidimensional mixed geographical space, real and virtual, or ontological geo space.
To effectively represent the geo entities in the world/geographical space the developers need a unifying ontological
theory capable to secure the unification of 3D (where) and 4D (where-when) approaches; to afford the adequacy of
geo world representation and reasoning; and to allow for the integrity of web data semantics. Such a global theory of
things and resources, physical and digital, implies an abstract state space approach, where the geographical space-
time continuum is a key part of the whole entity framework.
As far as every thing has properties [substantial, qualitative, quantitative, dynamic, or relational], there is the
ontological state space (OSS) marked by a number of fundamental dimensions (N) such as space (3D), time (1D),
specific physical quantities, and qualities, each of which is endowed with a certain metrical (topological) structure.
This implies that any geographical entity (sea, land, city, Earth) has its history (biography, trajectory) within the
N = (4D+n) state space dimensions, each distinguished by its specific beginnings, stages, endings, or boundaries.
Having constructed the OSS affords us not only the most efficient mapping of the world's content, dynamics and
relationships, but also the general reasoning mechanisms (or real logic rules) over its representations, changes,
processes and geo relations.
Basing on the ontological space state construct, one can model the knowledge representation and reasoning as a
cognitive space, encompassing all sorts of quality spaces, logical spaces, or attribute spaces.
Again, one can now construct the whole Web as an abstract information/knowledge space of interrelated resources,
marked by the URI identifications, representation of resources states, and interactions of resources and semantic
agents in the Web space − the major design constituents of the web’s architecture. At last, one can infuse real
substance into current SW languages, just formal and logical inconsistent schemas, employing some healthy ideas
from the set theory, formal logic, or natural language, like the RDF triple overriding the grammatical subject-verb-
object sentence structure, or OWL modeling or meta-modeling, trying to describe the web content with the empty
constructs of classes, properties, values. Since, in its substance, the Web concerns with the comprehensive dynamic
modeling of reality (all that exists and changes). One needs to revamp the formal SW schemas and languages with a
real world-centric ontology, concordant with all manner of conceptual models, theories, and schemas, in order to
uniformly represent the geographical information about the world, its data meaning.
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GLOBAL DATA BASE
The EIS Platform facilitates Data Integration from many different sources to generate actionable
knowledge, new intelligence and comprehensive profiles of entities, persons or groups, objects or
substances, events or processes, links or relations or structure and patterns in behaviour,
communication, movement and relationships, like as below:
Financial transactions data bases
Banking data bases
Environment Monitoring Data Bank
Data Retention Systems
Utilities data bases
Communications data bases
Government data bases
Telephone book data bases
Telephone billing records
Utility billing datasets (electricity, communications, tax)
Registry office records
Land registry data base
Car rental data base
Internet Protocol Address GIS
Police and criminal records for terrorism, moner laundering, kidnapping, insurance fraud, drug
trafficking, corruption, child pornography, slave traffic and arms trafficking
Data sets for terrorism, cyberterrorism, bioterrorism, chemical terrorism, nuclear terrorism,
ecoterrorism, narcoterrorism, domestic terrorism, international terrorism and theoterrorism
Driving Licence register
Traffic control points
Vehicle registration data base
Credit card transactions
Bank account transactions
Insurance company data bases
Border Control data base
Social Network data base
Passport data base
Finger print data base
DNA analysis data base
Biometric Data Center
Human genome data bases
Weather data bases
Natural disaster data bases
Resource management data bases
Big Science data bases
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TOTAL MODELING THE WORLD AND SUPERCOMPUTING
EIS Platform serves as a systems dynamic knowledge platform for Microsoft’s Technical Computing
initiative integrating new advances in supercomputing, multi cores processors, parallel programming, and
digital technology to measure, monitor, and model the world behavior, enabling pervasive, accurate, real-
time world modeling: http://www.modelingtheworld.com/
A global knowledge-based high-performance computing platform will enable analysis and prediction of
cascading effects in techno-socio-economic-environmental systems; namely:
A. Predicting and understanding of global health trends and disease spreads, pandemics and
B. Climate change patterns, predicting environmental, economic, social and human impact;
C. Predictions of natural disasters and optimal emergency response scenarios and plans.
As the Next Generation High Performance Computing Systems with high reliability, we consider
developing dependable, fault-tolerant, «smart» many-core processors for computer-based life-critical
complex systems and safe-critical environments liable to multiple failures in processor cores for manifold
reasons, high temperature, humidity, vibration, different mechanical impacts, or radiation. Implementing
many cores on a single die is possible due to shrinking of processing elements. Modern nano-scale
technologies make it possible to integrate billions of transistors on a single die. As die size and transistor
density grow, the susceptibility of these processors to hardware faults grows as well. Permanent and
intermittent hardware faults, caused by defects in silicon or metallization and wear out over time, lead to
circuit reliability problems. Due to these circuit reliability problems, dependability becomes one of the
major challenges for all future nano-scale technologies; this is why fault-tolerance is becoming an
essential property that must be integrated from the very beginning in every chip design.
Big Knowledge intensive models of the world behavior, supported by the NG HPC resources, will afford
to track and predict likely courses of real world systems in process, with root causes, triggering and set-up
factors, interactions, causal chains, loops and feedbacks, disruptions, all possible cascading effects, and
likely harmful effects or beneficial outcomes.
GLOBAL INTERNET OF EVERYTHING
The Cisco® Internet Business Solutions Group (IBSG) believes that the Internet of Things (IoT), where
millions of new devices are regularly being connected to the Internet is the matter of fact now, and it is a
subset of the coming Internet of Eveything. The Internet of Everything (IoE), defined as networks of
networks with trillions of connections, is to totalize People, Process, Data, and Things into a world-wide
cyber-physical socio-economic ecosystem (see Figure 2).
The Big Science projects are all to contribute to the IoE development, like establishing a Planetary
Nervous System as a global sensor network by connecting the sensors in today’s smartphones. What is
planned by the mentioned EU FuturICT projects, aming to create a planetary nervous system to measure
the state of the world and the interactions in it. For this, real-time data mining, or “reality mining”, will be
established, using data of the Internet and the semantic web, as well as the data collected by linking
sensors which aggregate information about the technological, social, or economic activities around them.
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Fig. 2. The What, Where, and How of the Internet of Everything. Source: Cisco IBSG, 2012
EIS CLOUD PLATFORM AND TOTAL CLOUD COMPUTING
The key issue in building a commercially valid i-community platform is to define where the community
intelligence, varying from city intelligence to state/nation/country/land intelligence, is to be located, if
it’s a centralized intelligence or networked, distributed intelligence, or a mix of centralized management
but distributed execution. Some stimulating theories as where the Community, Country or City,
Intelligence resides are as follows:
in the combination of digital telecommunications networks (the neural network), intelligent data
centers (the brain), sensors and tags (the sensory organs, nerve endings), and user applications
(behavior and actions);
in the connection between the physical, social and digital spaces of communities;
in the partnerships and social capital, smart regulatory and policy frameworks;
in the organizing the development of technologies, skills and learning, and engaging citizens to
become involved in creative community participation;
in the combination of networks, smart grids and meters and “big data” modelling
We advance an integrated position that the community intelligence is in the combination of digital
telecommunications networks (the nerves), ubiquitously embedded intelligence and computation (the
brain), sensors and tags (the sensory organs), software and control systems (the mind, the big knowledge
and cognitive competence) and user applications (behavior and actions).
To create a unified, dynamic, and intelligent computing environment, the Smart Communities of the
Future are intertwined with the Total Cloud Computing, Virutalization 3.0 (a datacentre, or IT as a
service), shifting from hypervisors and servers to the entire platform, to a fully virtualized datacenter
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covering compute, automation, storage, networking, and hybrid clouds, with a total, end-to-end
management through the physical level to the application level.
As a result, a Smart Community Cloud Computing Platform of next generation, or 3.0 Community
Platform, will be made up of five interdependent control layers: smart community applications, software
community environments, software community infrastructure, software kernel, and high-performance
hardware, as in the EIS Community Platform below:
3.0 Community/ 3.0 City/SEC Cloud Infrastructure and Applications
(Software as a Service, SaaS, Web access Portals, User-driven web-based services for citizens and businesses, Front
end interface to city clouds, applications and services)
Land Cloud, Transport Cloud, Utilities Cloud, Energy Cloud, Building Cloud, Facility Cloud, Security Cloud,
Health Cloud, Education Cloud, Government Cloud, Business Cloud, Culture Cloud, Environment Cloud, Citizen
Cloud; Private Clouds and Public Clouds
Future Digital Russia, Federation InterCloud or Sky Russia: Cloud Regions, Cloud Cities, Cloud Communities
APPLICATION LAYER (e-City, e-Environment, Digital City Management, Integrated Operations Center,
Emergency Command Center, e-Government, e-Traffic, e-Home, e-Office, e-Education, e-Health, e-Security, e-
Entertainment, e-Business, e-Community, e-Life, or Second Life)
Application Program Interface
3.0 Community/3.0 City/SEC Cloud Software Environment
(Platform as a Service, PaaS, eg, Google’s App Engine and Salesforce Customer Relation Management)
SEMANTIC COMMUNITY REASONING PLATFORM, SMART CITY CLOUD PLATFORM, FUTURE CITY
INTERNET MIDDLEWARE, INTELLIGENT CITY MANAGEMENT PLATFORM, FUTURE CITY
PLATFORM SUPERVISORY LAYER (IT Engine, M2M Engine, App Integration)
3.0 Community/3.0 City/SEC Software Management Kernel
(OS kernel, hypervisor, virtual machine monitor and/or
clustering middleware; grid and cluster computing applications)
SMART (MULTICORE PROCESSOR) VIRTUAL MACHINES
3.0 Community/3.0 City/SEC Cloud Software Infrastructure
(Virtual Machines, Infrastructure as a Service, IaaS, eg, IBM SmartCloud, Amazon’s Elastic Compute Cloud, EC2 )
(Data as a Service, DaaS, eg, Amazon S3, Urban Service Data Sets and Smart ICT Service Knowledge Bases)
(Communication as a Service, CaaS, eg, Future Internet, Optical Network Infrastructure, as Huawei’s Intelligent
Optical Distribution Network (iODN), Cisco’s Smart Connected Communities, and Microsoft Connected Service
NETWORK LAYER (Internet, Communication Networks, M2M Network, FTTH, GPON, etc.)
3.0 Community/3.0 City/Firmware / Hardware
Hardware as a Service, HaaS, eg, IBM Kittyhawk, or HW Cloud Data Centers
KNOWLEDGE CENTERS, INTERNET OF THINGS, RFID TECHNOLOGIES, M2M HARDWARE, EMBEDED
SMART CITY HARD INFRASTRUCTURE
SENSOR LAYER (PC, Mobiles, Cameras, Information and Network Terminals, RFID Readers, Sensors,
Table 1. The EIS Community Platform
To demonstrate its universality and flexibility, the i-Community Matrix is shown to include the most
advanced HW Intelligent City Framework consisting of four layers, Sensor Layer, Network Layer,
Platform Layer and Application Layer, constituting a unified city cloud platform expandable to create a
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future-oriented Smart City system framework (Building a Smart City; Be Smart: Huawei e-Government
The i-City Matrix is to make an Integrated Intercloud Computing Platform, interoperating and interfacing
specific urban clouds (Transport Cloud, Utilities Cloud, Energy Cloud, Housing Cloud, Security Cloud,
Health Cloud, Education Cloud, etc.), so operating as the intelligent control and command center for the
Urban Internet of Things, Systems, Services, Knowledge and Citizens.
SMART CITY PLATFORMS
Pioneering the Design, Development and Deployment of Intelligent, Resilient, Scalable and Secure Next
Generation Smart City ManagementSystems, the EIS Platform is to integrate the best solutions of existing
urban operating systems as below.
• The Songdo digitally ubiquitous city development in South Korea, where the integrated
networking services are designed on a platform concept. Cisco is building on its technical experience
with the Songdo network to place its Unified Service Delivery Platform as an IT and communications
platform for urban-scale developments.
• Living PlanIT’s Urban Operating System as a distributed cloud-based middleware platform for
monitoring and managing built environment operations, using McLaren Electronic Systems sensor
analytics technologies, embedded in the building fabric. The UOS centrally collects, aggregates,
orchestrates and analyses the data in a sensor-connected city environment, allowing access to
applications, management tools, services and a range of intelligent devices, tracking data streams for
buildings, energy, water, waste, education and transportation, medical and interactive services. It
capitalizes on the Microsoft’s Cloud Computing Offerings in the 2.0 World: The Connected Government
Framework 4-layer model: Key Challenges, People and Processes, Application Capabilities and
Technologies for Smart Cities.
• IBM’s Intelligent Operations Center for Smarter Cities, running on IBM System x® workload-
optimized systems, and to be deployed with a wider range of server platforms, as IBM Power Systems™
and IBM zEnterprise™ Systems. It is part of the IBM Government Industry Framework, which provides a
software platform and roadmap to implement IBM Smarter Cities™ solutions. There are several
deployment options, as data centers or as a SaaS, residing on the IBM SmartCloud, an IaaS. The solution
makes a basis for customer-driven urban applications almost in 2000 smart cities engagements, like as in
Boulder, Zhenjiang, China and in Rio de Janeiro.
• Schneider Electric’s SmartMobility Integrated City Management (ICM) solution, based on the
company’s new smart city platform.
• Alcatel Lucent Sustainable Platform as aimed to empower a smarter city (convergence,
connectivity, smart, secure, private and resilient, and energy efficient; citizens, public safety, government,
e-health, industrial, utilities).
• GE Intelligent Platform Proficy software solutions to implement a new city-wide monitoring
system, including Proficy HMI/SCADA - iFIX, Proficy Historian, and Proficy Real-Time Information
Portal. Designed as a single service delivery platform with an open system architecture, the city-wide
monitoring system provides mechanical and electrical data for daily operation systems such as the Plant
SCADA and Telemetry SCADA for reservoir and network distribution, enabling communication with
remote loggers and providing advance warnings and alarm indications.
• Smart Cities platform from Libelium, allowing of monitoring noise pollution, dust quantities,
structural health and waste management, using modular Waspmote wireless sensing technology. This
sensor board is promised to be combined in a network with previously available sensor boards - for gas
monitoring, radiation detection and smart parking.
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• Siemens Sustainable Cities Environment for Intelligent traffic solutions, green buildings,
wastewater management, and smart grid infrastructure; energy efficient buildings, water treatment
facilities, transportation infrastructure, public safety systems and healthcare imaging and diagnostics.
• Hitachi’s Smart City Management System for Water, Transportation, and Energy, where sensors
and information & telecommunication systems provide intelligence to urban infrastructures.
Fusing information systems and control systems resulting in a smart city equipped with intelligent
infrastructure, the Platform is supposed to govern the next-generation transportation systems,
energy systems, and urban water environment systems.
• The Manchester European Platform for Intelligent Cities (EPIC) platform pilot, to combine the
IBM’s ‘Smart City’ vision and cloud computing infrastructure with the knowledge and expertise of
leading European Living Labs… to ensure the development of a European ‘innovation ecosystem’ for
sustainable user-driven web-based services for citizens and businesses.
• The SmartSantander sensor network trial in Santander, Spain as aiming to supply a common
platform for a range of sensor-based applications.
• Barcelona, with an ambition of knowledge engine zone, is developing its city platform in the
22@Barcelona development, within the Urban Labs pilots. A number of start-ups are developing
solutions for this new architecture, including Urbiotica with its “City Operating Systems” for sensor
• Moscow’s Smart City Platform, planned as the Intelligent City Management System, which
provides a wide range of public services: monitoring and management of the condition of municipal
facilities (building plots of land, roads, green areas, water-supply networks, etc.), automatic collection and
analysis of data received from the technological sensors and other surveillance systems installed in
households, organizations, and at the municipal facilities, creation of the automated billing system,
monitoring the activities of city executive authorities, institutions, economic entities, etc.
• The Cisco Service Delivery Platform, the foundational, open-architecture platform to create and
deploy new smart services and applications to community citizens as well as people that manage and
operate the community infrastructure. It is promised to allow sharing information and collaborating across
a community’s ecosystem of government agencies and private sector partners to facilitate utilities,
transportation, telecommunications, safety and security, building systems, health, and government social
• Skolkovo’s Smart City Platform, mostly replicates the Cisco’s technical experience in Songdo.
Other stakeholders are Cognitive Technologies, Ernst & Young, and Panasonic. The platform planned as
a web-based dashboard handling city processes and procedures, from environmental to social ones,
widely establishing virtual lifestyles. It involves an integrated network of sensors regulating the operation
of the city’s main support systems, tracking traffic flows, monitoring engineering systems and buildings’
structural elements, providing processed information to the control centres.
• the Contiki Software Platform, the open source operating system for the Internet of Things,
developed by a world-wide team of hardcore developers from Atmel, Cisco, ETH, Redwire LLC, SAP,
SICS, Thingsquare, and many others . Via the Cooja simulator, it allows a communication to the Internet
for a wide variety of low-power systems, such as city sound monitoring, street lights, networked electrical
power meters, industrial monitoring, radiation monitoring, construction site monitoring, alarm systems,
and remote house monitoring: http://www.contiki-os.org/.
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EIS INTELLIGENT COMMUNITIES PROJECTS
The cities/regions/countries/global communities that will thrive and prosper in this era are known
as “Smart or Intelligent Cities” or “Eco Regions” or “Intelligent Nations” or “Smart Sustainable
Communities”— those capable of implementing the ICT platform-based integrated infrastructures,
physical, technological, economic, social and ecological, as digital territorial intelligent ecosystems.
At the recent Smart Cities and Communities Communication Launch Event, 10 July 2012, Sheraton
Hotel: Place Rogier 3, 1210 Brussels, the Smart City and Community Concept originated by the EIS ltd
for a specific green field locality in EU, Cyprus, has been advanced by the European Commission as a
European Smart City Prototype for cities and communities:
1. Smart Cities and Communities Communication Launch Event, 10 July 2012, Sheraton Hotel,
2. The Cyprus Presidency’s view on Smart Cities and Communities:
3. EU Smart Cities and Communities Prototype: http://neapolis.com
The whole innovation consisted in creating the “Smart Eco Cities and Communities” Model as the most
innovative intelligent urbanization paradigm to be scaled up and replicated to the legacy cities and
communities, the City 1.0, as well as to the next-generation future cities, the City 2.0, the City 3.0, or the
City X.0, shaping the urbanized world generations, the 2.0 World, the 3.0 World, or the X.0 World.
THE INTELLIGENT ECO COMMUNITY Project
The Prototype Model features the Community of Future as a centrally based intelligent architecture of
urban services, aiming at achieving fully sustainable smart communities at the leves of urban
communities, countries, or global communities. The sustainable intelligent communities are to be
connected by the EIS Smart Community Platform for a centralized governance and management of
land and environment, roads and transportation, energy, water, waste, logistics, telecommunications, real
estates, services, government, institutions, businesses, and social communities, as it is depicted in the
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Figure 3. The Nerve Center for Intelligent and Sustainable Communities (Credit to Cisco Systems for images)
The primary task of the EU Smart City Pilot was to develop the Future City Reference Framework
implemented as the Smart Eco Community Operating System, SECOS™, integrating information and
telecommunications networks with urban infrastructures, land and environment, roads and transportation,
building and facilities, businesses, government, citizens and services.
The Future City is governed by the Centralized Intelligence System, which is mostly following the idea of
a computer operating system managing the hardware, software and data and network communication, to
ensure the efficient performance of application programs. Although on different scale, the SECOS™ is to
control and manage the hard/physical infrastructure, such capital assets as land and environment,
transportation, energy, water, waste, communications, monitoring and measurement networks) and the
soft/social infrastructure (governance, economy, and society, like health and social welfare systems and
cultural, sports and recreational infrastructure).
It is thus to control, manage, monitor, and interconnect all the infrastructures systems, including the
specific control systems, software, and distributed embedded systems, as well as sensing, monitoring and
measurement networks as application programs or output units. Through the optical telecommunication
networks, cloud computing technology and Internet of Things technologies, like RFID systems, the
SECOS™ can intelligently identify, position, trace, monitor, and manage the core urban assets, resources,
networks, thus centrally providing intelligent management services for government, business and citizens.
The SECOS™ is intended to provide the general intercloud platform for intelligent sustainable city
development and deployment and leverage the urban Internet of Things, providing semantic
interoperability to a range of devices, architectures, protocols and other cloud platforms.
The Smart Eco City Project set forth a Smart Cities and Communities Development Platform as a
reference base for constructing a Sustainable Community of various scope and levels, ranging from urban
communities to international and global communities. Thus we create the common technological
foundation to transform the legacy communities and to deliver the future communities as physical-virtual-
social-natural territorial ecosystems of innovation, intelligence, digital space and ecosystems.
As a practical result, the EIS Intelligent Community Cloud Platform Prototype, as applicable and scalable
to disparate communities, new towns, urban complexes, countries and international organizations, will be
tested and disseminated among the key stakeholders and players of the world’s smart city market.
SMART RUSSIA Project: i-Government for EU: Smart Executives, Legislature and Judiciary
Leveraging the EIS Smart Community Platform, i-Russia Platform Prototype is to be developed, with a
view to deploy an All-Russian Sky/Intercloud Platform for Regions, Cities and Communities. The Smart
Russia Sky System will virtualize the Central Government, Regions, Cities and Communities in the Smart
Connected Clouds, modelling the core elements as centrally coordinated functional clouds, from the
Central Government Clouds to Regional clouds to Industry clouds to City clouds.
SMART EUROPE Project: i-Government for EU: Smart Executives, Legislature and Judiciary
On the global i-community market, the Key Product Line will be produced for new intelligent towns, as
the first SEC Pilot model in EU, new eco cities (as in China and Europe), nations, as Cyprus, and
international communities as the EU (i-Europe Platform).
The i-Europe Sky Platform will virtualize the European Commission, Member States, Cities and
Communities in the Smart Interconnected Clouds, from the Central Government Clouds to Regional
clouds to Industry clouds to City clouds to Private clouds and to Smart Infrastructure clouds.
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EIS SMART EUROPE PLATFORM
Presently, the administrative structure of the European Union comprises the European Commission,
European Parliament and three councils, which are often confused. The European Council sets general
political guidelines of the Union, without any legislative function, comprising the Heads of State or
Government of the Member States (presidents or prime ministers) and the President of the European
Commission. The Council of the European Union is the key decision-maker and sets most part of
European legislation, by regular meetings of the ministers of the Member States. There is also the Council
of Europe, which is not a European institution. The European Commission accounts for strategic
planning, policies, initiatives, priorities and objectives, regulations, directives, decisions, organization and
realization, its president appointed by the European Council, and elected by the European Parliament.
Representing the common European interests abroad, the EC is both the institution of some 40
directorate-generals and services and the college of commissioners, comprising 27 representatives from
each member state, each appointed by the national government.
As other institutions, there are the Court of Justice, European Central Bank, European Court of Auditors.
As other bodies, there are the External Policy Body, 2 Consultative Bodies, European Investment Bank,
European Ombudsman, and European Data Protection Supervisor. There also are inter-institutional
services, and agencies, decentralized and executive, security policy agencies and many other non-
As a smart government reference framework, the EIS i-Government model is applied to create 4i
Government, innovated, integrated, instrumented and intelligent, figured as a 4-tiered i-Government
I-Government succeeds smart government, information government, transformational government, as
well as e-government, with its subdivisions: m-government (mobile government), u-government
(ubiquitous government), and g-government (GIS/GPS applications for e-government).
4I-Government Platform provides an ultimate vision of an integrated portfolio of government
activities and governing bodies: officialdom, parliament and judiciary.
The 4i-Governance EU Digital Platform is to be the Single Smart Europe Management
Environment/Ecosystem for all current domains and duties of the EU commissioners: Foreign Affairs and
Security Policy, Justice, Fundamental Rights and Citizenship, Competition, Transport, Digital Agenda,
Industry and Entrepreneurship, Inter-Institutional Relations and Administration, Environment, Economic
and Monetary Affairs, Development, Internal Market and Services, Education, Culture, Multilingualism
and Youth, Taxation and Customs Union and Antifraud, Trade, Health and Consumer Policy, Research,
Innovation and Science, Financial Programming and Budget, Maritime Affairs and Fisheries,
International Cooperation, Energy, Regional Policy, Climate Action, Enlargement, Social Affairs and
Inclusion, Home Affairs, Agriculture and Rural Development.
The 4i-Government implies full democracy and legitimacy, safety and security, accountability and
transparency, open decision making, and strong government and civil society partnership and integrated
information flows among all the key levels of public administration.
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EIS GLOBAL DEVELOPMENT PHILOSOPHY
WORLD 1.0 (Industrial World/Dumb) :: Global Community 0.0 > Society 1.0> Nation 1.0 >
City 1.0 > Science &Technology 1.0 > Industry 1.0 > Infrastructure 1.0 > Network 1.0 >
Telecom 1.0 > Internet 1.0 > Web 1.0 > Service 1.0 > Government 1.0 > Medicine 1.0 > Human
1.0 > Life 1.0 > Universe 1.0
WORLD 2.0 (Information World/Smarter) :: Global Community 2.0 > Society 2.0 > Nation
2.0> City 2.0 > Science &Technology 2.0 > Industry 2.0 > Infrastructure 2.0 > Network 2.0 >
Telecom 2.0 > Internet 2.0 > Web 2.0 > Service 2.0 > Government 2.0 > Medicine 2.0 >3Human
2.0 > Life 2.0 > Universe 2.0
WORLD 3.0 (Sustainable Intelligent World) :: Global Community 3.0 > Society 3.0 > Nation
3.0> City 3.0 > Science &Technology 1.0 > Industry 3.0 > Infrastructure 3.0 > Network 3.0 >
Telecom 3.0 > Internet 3.0 > Web 3.0 > Service 3.0 > Government 3.0 > Medicine 3.0 >Human
3.0 > Life 3.0 > Universe 3.0
WORLD X.0 :: Global Community X.0 > Society X.0 > Nation X.0> City X.0 > Science
&Technology X.0 > Industry X.0 > Infrastructure X.0 > Network X.0 > Telecom X.0 > Internet
X.0 > Web X.0 > Service X.0 > Government X.0 > Medicine X.0 >Human X.0 > Life X.0 >
GLOBAL BRANDS PROMOTED
• I-WORLD™; Global SkyNet™
• Smart Sustainable Communities™;
• Smart Sustainable World ™;
• Smart Nation™
• Smart Superpower™
• Intelligent Eco City™;
• Smart Eco City™;
• i-City Operating Systems™;
• Smart City Software™;
• i-Community Package™;
• Intelligent Urban Operating Systems;
• Smart Eco Community Operating Systems, SECOS™
• Neapolis Smart EcoCity™
• Territorial Intelligent Platform™, TIP
• Territorial Intelligent Systems™, TIS
• X.0 World ™; World X.0 ™; 3.0 World ™; World 3.0; 3.0 City ™; City 3.0 ™
• i-Europe™, Intelligent Europe™, Smart Europe™, Europe SkyNet™
• i-Russia™, Smart Russia™, Intelligent Russia™, Russia SkyNet™
• Ontopaedia™, Global World Ontology, Universal Ontology™
• Global Knowledge Graph™
• Total Internet™, Total Web™
• Encyclopedic Intelligence™
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ENCYCLOPEDIC INTELLIGENCE PLATFORM APPLICATIONS
Global Ontology of the World, or Digital Aristotle;
Big Science Knowledge Base;
World Knowledge Graph vs. Google’s Knowledge Graph;
Smart Web Search Schema;
Human knowledge integration systems and semantic networks;
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 i-business smart technologies, global web trading
systems, forecasting business systems, business management i-consultancy, etc.;
Integrated intelligent solutions for i-Government, i-Learning, i-Science, i-Health, and i-
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.);
Intelligent City Operations, Control and Command Centers;
Smart City Management Platform; Urban Operations Cloud System; Digital Cities in the
Sky/Cloud Computing Cities, Virtual Cities in the Sky, Cities In the Sky™;
Intelligent Community Platforms;
I-World Platform: http://www.slideshare.net/ashabook/iworld-25498222
Smart World Platform: http://www.slideshare.net/ashabook/future-world-27173937
Smart Eco Cities Platform: http://eu-smartcities.eu/content/show-world-you-are-smart-city
Smart Nations Platform: http://eu-smartcities.eu/content/become-smart-nation-build-your-brand-name
Smart Superpower Platform: http://eu-smartcities.eu/blog/smart-superpowers-projects-
Global Innovation Platform: http://www.slideshare.net/ashabook/innovation-platform
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“SMART WORLD” GLOBAL COOPERATION: Global Innovation Open Platform
EIS Encyclopedic Intelligent Systems Limited Company, Moscow, Skolkovo Innovation Center, presented
by its founder and director, Dr Azamat Abdoullaev, is entitled to promote and distribute the corporate
intelligent solutions, products and services, which are under copyright, trademarks, trade secrets or know-
As the promoter of the Global Innovation and Disruptive Technology Platform, EIS Ltd is open for
cooperation with different stakeholders to design, develop, and distribute the ENCYCLOPEDIC
INTELLIGENCE of different scales and kinds, from smart sustainable communities (global communities,
regions, nations, cities, towns or local communities) to intelligent information technologies and computing
knowledge applications, as above.
The EIS Ltd is open for strategic investment and equity funding, planning to grant brand licences under
intellectual property laws to authorize a use for its Unique Intelligent Intangible Assets to prospective
partners, to develop the EIS Platform systems, applications and services as above.
Considering the type of legal entities and the form of knowledge transfer, the scale of cooperation and the
scope of territories, the terms and conditions, knowledge transfer fees, royalties, and renewal provisions
will have been properly stipulated, including other specifications and limitations deemed vital to the
Below is an example of the licensed product process steps:
Licensor is informed by a prospective partner on the product categories to be licensed
Licensor negotiates a knowledge transfer license and fees with the best licensees
Licensees develop concepts, prototypes and final production samples and submit for approval
Licensor approves licensed products for public development, software coding and programminjg,
and commercial sale
Licensees sell licensed knowledge products or intelligent services
In all, the forms of knowledge transfer involve consultancy, licensing, cooperative
R&D or contract R&D agreements, and spin-offs.
GLOBAL KNOWLEDGE FRAMEWORK PACKAGE
INTELLIGENT WORLD’S CONTENT FOR SMART CYBER-PHYSICAL ECOSYSTEMS, KNOWLEDGE
TECHNOLOGIES, GLOBAL INTELLIGENT NETWORKS, AND LARGE AI APPLICATIONS
ONTOPEDIA™ : The World Encyclopedia, a Global Ontology of the World, Total Schema of
Things, and Knowledge Web Graph
TOTAL ENCYCLOPEDIA: Wikipedia + Wordnet + Britannica
GESS™: GLOBAL ENTITY SEARCH SYSTEM™
(GLOBAL KNOWLEDGE GRAPH: Smart Web Search Schema)
Intelligent Search for the Future Internet of Everything and Smart Web of Entities
SMART KNOWLEDGE BASES
BIG SCIENCE SCHEMA: Integrated Science and Technology, the Arts and Philosophy
23 FUTURE WORLD PROJECTS & EIS Encyclopedic Intelligent Systems & Azamat Abdoullaev
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EIS ENCYCLOPEDIC INTELLIGENCE PLATFORM
ENCYCLOPEDIC INTELLIGENCE I: http://www.slideshare.net/ashabook/encyclopedic-
http://www.slideshare.net/ashabook/encyclopedic-ENCYCLOPEDIC INTELLIGENCE II:
ENCYCLOPEDIC INTELLIGENCE III: http://www.slideshare.net/ashabook/encyclopedic-
ENCYCLOPEDIC INTELLIGENCE IV: http://www.slideshare.net/ashabook/encyclopedic-
ENCYCLOPEDIC INTELLIGENCE V: http://www.slideshare.net/ashabook/global-intelligence-
EIS ENCYCLOPEDIC INTELLIGENCE: Global Innovation and Disruptive Technology Platform
FUTURE WORLD PROJECTS
http://www.slideshare.net/ashabook/smartworl-dabrSMART WORLD DEVELOPMENT:
CREATING THE FUTURE: Building Tomorrow’s World:
I-WORLD MANIFESTO: http://www.slideshare.net/ashabook/iworld-25498222
SUSTAINABLE WORLD DEVELOPMENT: http://www.slideshare.net/ashabook/smart-world
THE WORLD WE NEED (Post-2015 Sustainable Development Goals) :
«РОССИЯ – Г лоба льный Лиде р»: http://www.slideshare.net/ashabook/irussia-
Smart Kazakhstan: http://www.slideshare.net/ashabook/ikazakhstan-20142024
SMART EUROPE, http://www.slideshare.net/ashabook/smart-europe
BIG EUROPE: http://www.slideshare.net/ashabook/ieurope
SMART BRITAIN: http://www.slideshare.net/ashabook/ibritain
SMART United States of America: http://www.slideshare.net/ashabook/smart-america
24 FUTURE WORLD PROJECTS & EIS Encyclopedic Intelligent Systems & Azamat Abdoullaev
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EIS GLOBAL INNOVATIVE INITIATIVES
SMART CITIES GLOBAL INITIATIVE
Show to the World that You are a Smart City
Are you on the right track to become a Smart City? It is said that the future of the world will be decided by the quality of its
cities, and it is expected that by 2020 over 40 urban areas will turn into Smart Cities.
However, the Smart Cities Global Initiative is concerned about the large variety of narrow technical visions, models and
approaches in which on many occasions “the push towards smart cities is being led by the wrong people –
technology companies with naïve visions and short term commercial goals–, while the architects, planners and scientists often
struggle to share their specific knowledge”.
That is why this initiative is looking for megacities, municipalities, communities or brand new cities that are following a smart
community development strategy aiming to unify all the city systems, services, operations, activities, departments and agencies
as a sustainable smart urban ecosystem.
The applications have to provide evidence that the city has potential capacity to take profit of the intelligent resources offered
through the Smart Cities Global Initiative. They also have to prove that their transformation into a Smart City has a strong
leadership and that it has strong intentions to invest intelligent and financial capital into smart and sustainable urban
The selected urban entities will be provided with intelligent property investment as well as sustainable city exclusive education
You can submit your applications via e-mail to the Executive Manager of EIS Smart City Global Initiative,
at firstname.lastname@example.org until the 15th of July.
For further information on the Smart Cities Global Initiative, consult the online brief guide.
25 FUTURE WORLD PROJECTS & EIS Encyclopedic Intelligent Systems & Azamat Abdoullaev
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SMART NATIONS GLOBAL INITIATIVE
Become a Smart Nation to Build Your Brand Name
Have you thought about intelligent global branding? Nowadays, not only companies compete to stand out, but also
countries have to struggle for businesses, tourists or international events.
These days, there are 195 independent sovereign states, 60 independent areas and 5 disputed territories and the
world is looking for a radical transformation in all ways.
In this context, every nation has its own brand which represents its international image, the way in which it is
globally perceived. Intelligent global branding results in attracting investment, facilitating trade and creating
The Smart Nations Global Initiative is concerned with the inequality of modern states. For this reason, its main
objective is to foster the transition to smart, resilient and inclusive nations.
This initiative aims to become the key driver of an instrumented, interconnected, intelligent, inclusive and
innovative world of the future.
If you are committed to contribute to the sustainable development of your nation, country or state, you can submit
your applications via e-mail to Dr. Azamat Abdoullaev, Director of EIS Smart Nation Global Initiative,
at email@example.com until the 15th of September.
SMART SUPERPOWER INITIATIVE
EIS INTERNATIONAL COMMITMENTS: EUROPEAN INNOVATION
PARTNERSHIP (EIP) ON SMART CITIES AND COMMUNITIES
FUTURE WORLD BUSINESS PROPOSALS ARE TO ADDRESS TO DIRECTOR DR AZAMAT ABDOULLAEV
EIP Web Platform: http://www.eu-smartcities.eu/