Semantic Computing Executive Briefing

Graeme Wood

General Manager Marketing

Enhancing Business Insights

by Liberating your Data

Agenda

• General Introduction of Semantic Software

• Welcome and Introduction to IoT and Big Data

• Introduction to Semantic Computing concepts

• Benefits of Semantic Computing to Government

• Q&A

• Close

Who is Semantic Software

• An Australian Company with HQ in North Sydney

• Owned by over one hundred and thirty private investors

• Developed a Semantic Interoperability Platform

• Created a strong and strategic patent portfolio that has patents & patent applications in Australia and the United States

• Implemented a training division called Semantic Academy for the delivery of technical workshops, executive presentations and training modules for Tertiary Institutions

Evolution of the World Wide Web

Semantic Software 4

Current Data Issues

• CURRENT DATA ISSUES

• Rigid Data Structures

• Distributed Data Sources

• Unstructured Data

• Limited Context , Meaning, Sources

• Growth of Social Collaboration

• Resource Requirements to Manage

How many devices record information?

How much Information does the bank use to manage clients needs?

How Integrated is Data in Government ?

Internet of Things (IoT)• The IoT is a giant network of connected

“things” (which also includes people).

• The relationship will be between people-people, people-things, and things-things.

• ISSUES• Security• Technology & Interoperability• Privacy, IP and Data Sharing• “Data lake” Storage Requirements• Unstructured data• Data interoperability• Meaningful Analysis of Data

Internet of Things (IoT)

Internet of Things & Cognitive Computing

• IoT is already overwhelming data analytics• Driving the need for cognitive computing

• Cognitive computing requires• A semantic knowledge base for meaning

• Natural Language Processing to ingest unstructured data

• Algorithmic methods to make propositions

• Machine Learning to improve propositions

Semantic Software 11

Agenda





• Q&A

• Close

Evolution of Data Mining Technologies

What is Semantic Computing

• Semantic Computing is at the core of Cognitive Computing processes, and is enhanced by other Artificial Intelligence techniques such as Natural Language Processing and Machine Learning

• Semantic Computing is the facilitator of key IT Tools of the future providing INTEROPERABILITY and CONTEXT

• The Key elements that engage with Semantic Computing include:• Internet of Things (IoT)

• Big Data & Analytics

• Cloud Computing

• Collaborative /Social Media

Concepts in Semantic Computing

“I got a great shot of an elephant at a zoo.”


Concepts in Semantic Computing – RDF Resources• Data is transformed into granular facts describing “Resourses”

• These facts are expressed in Subject–Predicate–Object form, called Triples

• Subjects and Objects are Resources

• The Resource Description Framework (RDF) defines the above

• Example:

• “I got a great shot of an elephant at a zoo.”• Nouns = I, shot, elephant, zoo

• Verbs = got, shot

• Preposition = of, at, are

• RDF Triples generated:• I got a shot

• I shot an elephant

• I was at the zoo

• An elephant was at the zoo

• The shot occurred at the zoo Semantic Software 17

Concepts in Semantic Computing - Ontologies• An Ontology is a dataset of “rules” that describe a domain of knowledge

• They use RDF formats


Zoo Ontology FOAF Ontology Photography Ontology

A zoo houses animals

I means a person Cameras make photos

Elephants are animals

People is the plural of person

A shot is a photo

People take photos

Semantic Web Stack

• "The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in

cooperation."

-- Tim Berners-Lee

The “Intelligent” Web


Professor Sir Tim Berners-Lee (inventor of WWW and Semantic Web)”• 1999 “we don’t know how to

do trust, security and proof• In 2006, TBL and colleagues:

"This simple idea...remains largely unrealized".

• Rust, security and proof recently reaffirmed as “unrealized technologies”

Agenda





• Q&A

• Close

Example of Relationship Finder Query

.

25

• Monetary: profit / loss, assets / liabilities, equity• Law and Jurisdiction• Government, regulatory environment• Contracts, agreements, commitments• Products and Services• Other e.g. geopolitical, logistics

Key areas for decision making that Semantic Computing supports

Semantic Computing in Finance

• customer-focus• risk management• increase flexibility• combining disparate sources• regulatory reporting• insider trading controls• data governance• accessing information quickly

Benefits of Semantic Computing to Government

• Comprehensive Interaction with the Public

• Supports Policy Development

• Supports Integrated National Security

• Manages Risk, Governance and Compliance

Semantic Computing in GovernmentTreatment

Plan/Workflow Options

Drugs/ Gene

Interactions

Wearable Diagnostic

Support

Reduce Excessive Payouts

Membership

Engagement

Reduce Claim Fraud

Correlate Diverse Data

Sources

Exploit Specialist

Ontologies

Expanded Govt

Access and Sharing

Tailor Holistic

Treatment

Providers

Payers

ResearchExpanded Analytic

Tasks

Personal Patient

FilesConsumers

Semantic Computing in Healthcare

• forecast patient behaviour

• provide preventive care

• impact of infections on patients

• identify high volume service users

• determine the probability of readmission

• improve response rates

• identify cardiac failure risk

Semantic Computing in HealthcareTreatment

Plan/Workflow Options

Drugs/ Gene

Interactions

Wearable Diagnostic

Support

Reduce Excessive Payouts

Membership

Engagement

Reduce Claim Fraud

Correlate Diverse Data

Sources

Exploit Specialist

Ontologies

Expanded Govt

Access and Sharing

Tailor Holistic

Treatment

Providers

Payers

ResearchExpanded Analytic

Tasks

Personal Patient

FilesConsumers

NAVY ENERGY

Case Study : US Navy