This is an intriduction to how Semantic/Linked Data technologies can help solve the challenges of information overload. This presentation is often given in co-junction with 'meet Jessica - Making Connections Matter.
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Practical semantics - An introduction
1. Practical Semantics
What can Semantics do for me today?
Ben Gardner
Collaboration & Information Architect
Ben at differentiatedthinking.com
http://www.linkedin.com/in/bengardner135
2. Practical Semantics
An introduction to Semantics
Delivering semantic solutions today
meet Jessica – A vision of working in a
Semantic enabled organisation
Ben Gardner
8. An Alternative Approach
Exploratory/Investigative Best practice
Evolving Reproducible
Dynamic Business Drivers Standardised
Agile Consistent
Semantics Relational
Open Robust
Discoverable Technology Strengths Performance
Interoperable Auditing
Ben Gardner
11. Things have Properties
Jessica
Expertise Projects Targets Location
Molecular Pharmacology D3 Agonist for FSD 5HT1a&b Sandwich
Molecular Biology Nav1.7 for Pain G-Proteins
Receptor Theory CB2 for Obesity CB1&2
G-Protein Coupled Receptors D2 for Schizophrenia P38
Modelling Arrestin’s
Data Visualisation
Receptor Regulation
In Vitro Assay Development
Ben Gardner
12. Resource Description Framework (RDF)
Subject Predicate Object
<Jessica> <hasExpertise> <CB2>
RDF Triple
Combining Triples creates a directed, labelled graph
<Molecular
Biology>
hasSkill <Nav1.7 for
hasWorkedOn Pain>
<Jessica> hasLocation Graph
<Sandwich>
hasExpertise
<CB2>
Inspired by J Phil Brooks
Ben Gardner
13. Connections are common properties
shared by Things
Jessica Cannabinoid Receptor 2 Migraine
[+] Expertise [+] Structure [-] Targets
[+] Projects [+] Isoforms CGRP
[-] Targets [+] Pharmacological tools 5HT1D
CBR2 [-] Implicated in CB2
5HT1A&C Migraine PDE3
G-Proteins Obesity Ras
P38 Schizophrenia [+] Competitive Intelligence
Arrestin’s ….. [+] Treatments
[+] Location [+] ……
Vocabularies
Ben Gardner
14. Resource Description Framework (RDF)
Graphs can be joined together ……
<Molecular
Biology>
hasSkill <Nav1.7 for
hasWorkedOn Pain>
<Jessica> hasLocation
<Sandwich>
hasExpertise
<CB2>
<CB2> Implicated_in
<Migraine>
subClassOf hasTool
<PF-334,765>
<GPCR>
Inspired by J Phil Brooks
Ben Gardner
15. Resource Description Framework (RDF)
…... to traverse the knowledge space
<Molecular
Biology>
hasSkill <Nav1.7 for
hasWorkedOn Pain>
<Jessica> hasLocation
<CGRP>
<Sandwich>
Associated target
hasExpertise
<CB2> Implicated_in
Associated target
<Migraine> <5HT1D>
subClassOf hasTool
hasTreatmentClass
<PF-334,765>
<GPCR>
<Tryptan>
Inspired by J Phil Brooks
Ben Gardner
17. Ok so it is a bit more complicated
Disambiguation Context
Sildenafil Citrate
Viagra Revatio
Ben Gardner
18. Building a linked data cloud
3 Applications
Business Process /
Workflow Automation
PURL
Rest Services (Abstraction layer)
Increasing Ease of Development
2 Semantic Integration Framework
Decreasing knowledge of Semantic
technologies
Knowledge Collation, Concept mapping, Distributed Query
Result inference, Aggregation
1 RDF
Sparql EndPoint Native Sparql EndPoint
RDBMS RDF Triple MS Excel
Oracle,Postgres Store TXT
SQL, mySql Doc
Data Sources
Phil Ashworth UCB – SemTech 2011 Ben Gardner
19. But this is all theoretical right?
Ben Gardner
26. Making
Connections
Matter
with Jessica
http://www.slideshare.net/bengardner135
/meet-jessica-making-connections-matter
Ben Gardner
27. 18 months ago Jessica’s did not know what she
was missing
She needed to know where information was
before she could use it
Ben Gardner
28. Today because of Semantics…..
…… information finds Jessica’s
Ben Gardner
29. Ask Jessica what semantics means to her
it’s most definitely about
Making
Connections
Matter
Ben Gardner
30. “It’s all about connections”
People 2 People Data 2 Data
People 2 Data Ben Gardner
31. Semantics on the Gartner Hype Cycle
visibility
Linked Data
Peak of
Technology Inflated Trough of Plateau of
Trigger Expectations Disillusionment Slope of Enlightenment Productivity
time
Ben Gardner
32. Profile
Ben Gardner
Collaboration and Information Architect
Contact via:
http://www.linkedin.com/in/bengardner135
Blog http://dif-fer-en-ti-ate.blogspot.com/
http://www.slideshare.net/bengardner135
email Ben at differentiatedthinking.com
Notas del editor
It is estimated that 40 exabytes (4.0 x 10E19) of unique new information will be generated worldwide this yearThat is more than in the previous 5,000 yearsOne weeks worth of the New York times contains more information than a person was likely to come across in a lifetime in the 18th centuryItoday 31 billion google searches are performed per month, in 2006 this was just 2.7 billionThe amount of technical information is doubling every 2 years