David Wood, co-founder & CTO of 3 Round Stones, author & pioneer on Data Exchange Standards for the Web speaks at the 10th Anniversary Semantic Technology & Business Conference in San Jose California on 20-August 2014. Dr. Wood will describe how data is core to your organization's effectiveness and efficiency. He'll describe why and how to make your next product semantically-enhanced for increased speed to market & responsiveness to your customers.

1. @prototypo
david@3RoundStones.com
David Wood, PhD
Why Your Next
Product Should Be
Semantic

2. Critical Business Benefits
• Better speed to market
• Lower running costs
• Increased market opportunities

4. M A N N I N G
David Wood
Marsha Zaidman
Luke Ruth
WITH Michael Hausenblas
FOREWORD BY Tim Berners-Lee
Structured data on the Web
2
D
oorPrizes

5. YouTube HDTV
watch videos
watch Better
videos
Publish videos
Share videos
Rate videos
Discuss videos

6. Linked Data RDBMS
Use data Use data
Publish data
Share data
Rate data
Discuss data

7. Data is
easier and faster to
change than code

8. “(Software development) cost
estimation literally boils down to
"how long and how many people?"”
-- Philippe Kruchten

9. 0
10
20
30
40
50
60
70
Retail
Bars
BuildingFood
ServiceAccountingSoftw
are
(trad)Legal/TaxH
ealthcareEducation
C
hildcare
Softw
are
(rem
ote)
SHRM 2008US Census 2007 Survey 2014
Payroll,%ofTotal

10. 0
10
20
30
40
50
60
70
Retail
Bars
BuildingFood
ServiceAccountingSoftw
are
(trad)Legal/TaxH
ealthcareEducation
C
hildcare
Softw
are
(rem
ote)
SHRM 2008US Census 2007 Survey 2014
Payroll,%ofTotal

13. “Computer Science is the only
discipline in which we view adding a
new wing to a building as being
maintenance.”
-- Jim Horning

14. class Language < ActiveRecord::Base
!
has_many :examinations
has_many :project_languages
has_many :projects, :through => :project_languages
!
attr_accessible :source, :target, :price
!
validates :source, :target, :price, :presence => true
!
def self.source_languages
Language.find_by_sql("select * from languages group by source").map{|
lang| [lang.source, lang.source] }
end
!
def self.target_languages
Language.select(:target).uniq.map{|lang| [lang.target, lang.target]}
end
!
end
SQ
L
em
bedded
in
code

15. class Language < ActiveRecord::Base
!
has_many :examinations
has_many :project_languages
has_many :projects, :through => :project_languages
!
attr_accessible :source, :target, :price
!
validates :source, :target, :price, :presence => true
!
def self.source_languages
Language.find_by_sql("select * from languages group by source").map{|
lang| [lang.source, lang.source] }
end
!
def self.target_languages
Language.select(:target).uniq.map{|lang| [lang.target, lang.target]}
end
!
end
SQ
L
em
bedded
in
code
SQL

16. SQ
L
generators
client = Client.find(1, 10)
equivalent to:
SELECT * FROM clients WHERE (clients.id IN (1,10))

17. SQ
L
generators
client = Client.find(1, 10)
equivalent to:
SELECT * FROM clients WHERE (clients.id IN (1,10))
SQL!
generator

18. SQ
L
generators
client = Client.find(1, 10)
equivalent to:
SELECT * FROM clients WHERE (clients.id IN (1,10))
SQL!
generator
That’s good, right?

19. SQ
L
generators
class Amenity < ActiveRecord::Base
has_many :amenity_lists
!
named_scope :available, lambda {
|start_date, end_date| {
:select => 'amenities.*',
:order => 'id',
:conditions => ["
amenities.id NOT IN
(!
SELECT aa.id from amenities aa, amenity_lists al WHERE!
amenities.id = al.amenity_id AND!
(!
(? BETWEEN al.checkin AND al.checkout) OR!
(? BETWEEN al.checkin AND al.checkout)!
)!
)",
start_date,
end_date
]
}
}

20. Why?

21. Why?
• It is the tight coupling of DB+schema that causes
tight code integration.

22. Back
to
the
future
q = """SELECT ?x ?z ?y!
WHERE {!
course:%s course:termName ?x;!
?s ?t.!
?s ?d ?z.!
?t course:termName ?y.!
FILTER (regex(?z,'[^a-z0-9]','i') && isLiteral(?z) )!
}ORDER BY ASC(?s)
"""%var_value
schema
ontology
inference
schema
SPARQL

23. “Perfection is achieved, not when
there is nothing left to add, but when
there is nothing left to remove.”
-- Antoine de Saint-Exupéry

24. N
ext
schema
ontology
Application relationships
Data structure

25. N
ext
schema
ontology

26. N
ext
inference
schema
ontology

27. N
ext
inference
schema
ontology
SPARQL!
generator

28. N
ext
generic
code
inference
schema
ontology
SPARQL!
generator

29. SQL
SQL
1960s
1970s
1980s
1990s
2000s
2010s
SQL!
generator
schema
ontology
inference
schema
SPARQL
SPARQL!
generator
schema
ontology
inference
generic
code
inference
schema
ontology

30. Bonobos!

31. Bonobos!

33. Animal Pants
Label Label
Comment Comment
Depiction Depiction
Order page
Color
Gender pronoun
Address

34. Label
Comment
Depiction
Depiction
Label
Comment
Gender pronoun Address
Color Order page

35. Lack of Context

36. Required Context

39. carrelet@fr
plaice@en_gb sand dab@en_us
lemon dab@en_us
lemon sole@en_us

40. carrelet@fr
plaice@en_gb sand dab@en_us
lemon dab@en_us
lemon sole@en_us
limande@fr
calimande@fr
plie@fr

41. Dr. Chris Welty
“Semantic Technology is not an end in
itself, it is a means to an end, a set of
tools and techniques for supporting
modern data analytics. It goes
alongside other essential technologies
like machine learning, databases,
information retrieval, etc.”
IBM Watson Team

43. M A N N I N G
David Wood
Marsha Zaidman
Luke Ruth
WITH Michael Hausenblas
FOREWORD BY Tim Berners-Lee
Structured data on the Web
2
D
oorPrizes

44. @prototypo
david@3RoundStones.com
David Wood, PhD
Why Your Next
Product Should Be
Semantic

45. This work is Copyright © 2011 3 Round Stones Inc.
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