The document discusses semantic computing and its benefits. It provides an agenda for introducing semantic software, IoT/big data, and semantic computing concepts. Semantic computing transforms unstructured data into structured triples that can be queried using ontologies to add context and meaning. It discusses how semantic computing supports applications in various domains like finance, government, and healthcare by integrating diverse data sources and enabling expanded analytics. The US Navy case study shows how semantic computing helped the Navy reduce energy costs.

1. Graeme Wood
General Manager Marketing
Enhancing Business Insights
by Liberating your Data

2. 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

3. 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

4. Evolution of the World Wide Web
Semantic Software 4

5. 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

6. How many devices record information?

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

8. How Integrated is Data in Government ?

9. 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

10. Internet of Things (IoT)

11. 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

12. 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

13. Evolution of Data Mining Technologies

14. 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

15. Concepts in Semantic Computing
“I got a great shot
of an elephant at a
zoo.”
Semantic Software 16

16. 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

17. Concepts in Semantic Computing - Ontologies
• An Ontology is a dataset of “rules” that describe a domain of knowledge
• They use RDF formats
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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

19. 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

20. The “Intelligent” Web
Semantic Software 21
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”

21. 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

22. Example of Relationship Finder Query

23. .
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

24. Semantic Computing in Finance
• customer-focus
• risk management
• increase flexibility
• combining disparate sources
• regulatory reporting
• insider trading controls
• data governance
• accessing information quickly

25. Benefits of Semantic Computing to Government
• Comprehensive Interaction with the Public
• Supports Policy Development
• Supports Integrated National Security
• Manages Risk, Governance and Compliance

26. Semantic Computing in Government
Treatment
Plan/Workflo
w Options
Drugs/
Gene
Interactions
Wearable
Diagnostic
Support
Reduce
Excessive
Payouts
Membershi
p
Engagemen
t
Reduce
Claim Fraud
Correlate
Diverse Data
Sources
Exploit
Specialist
Ontologies
Expanded
Govt
Access and
Sharing
Tailor
Holistic
Treatment
Providers
Payers
Research
Expanded
Analytic
Tasks
Personal
Patient
Files
Consumers

27. 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

28. Semantic Computing in Healthcare
Treatment
Plan/Workflo
w Options
Drugs/
Gene
Interactions
Wearable
Diagnostic
Support
Reduce
Excessive
Payouts
Membershi
p
Engagemen
t
Reduce
Claim Fraud
Correlate
Diverse Data
Sources
Exploit
Specialist
Ontologies
Expanded
Govt
Access and
Sharing
Tailor
Holistic
Treatment
Providers
Payers
Research
Expanded
Analytic
Tasks
Personal
Patient
Files
Consumers

29. NAVY ENERGY
Case Study : US Navy