Introduction to Topic Maps and Kamala. Learn to develop model-driven knowledge applications step by step. TAO of TopicMaps with Kamala including Typing, Schema and first Ontology constructs.

1. Typing
and
advanced
constructs
Knowledge
in
the
Cloud

2. Adding
Seman3cs
and
Metadata
to
the
unstructured
data-­‐
world
2

3. Typing
! Captures
the
seman3c
knowledge
in
a
topic
map
▫ Topics
(mul3ple
types)
▫ Occurrences
▫ Associa3ons
3

4. Topic
Types
! Reid
Hoffman
is
a
Person
! CEO
is
a
Posi)on
! We
model
this
as
topic
types
of
the
corresponding
topics
CEO
Person
Posi3on
Reid
Hoffman
4

5. Topic
Types
! Indicate
that
Reid
Hoffman
is
an
instance
of
the
topic
type
Person
! This
can
be
done
at
the
topic
details
page
! When
you
first
use
Person
as
a
type,
Kamala
asks
whether
to
create
a
new
topic
▫ ANer
that
you
can
reuse
it
5

6. Topic
Types
! Do
the
same
for
the
topic
on
the
Posi)on
of
CEO
! Define
your
own
topic
types
and
add
them
as
type
to
the
corresponding
topics
6

7. Occurrence
type
! The
type
of
an
occurrence
indicates
the
seman3cs
of
the
occurrence
! For
example:
▫ Date
of
birth
▫ Email
address
! Occurrence
types
are
mandatory
Reid
Hoffman
1967-­‐08-­‐05
Date
of
birth
7

8. Associa4on
Type
! Typing
associa3ons
is
also
mandatory
! Again,
the
type
indicates
the
seman3c
of
the
rela3on
between
the
topics
! For
example
▫ Employment
L
R
Employment
8

9. Direc4on
of
Associa4on
name
Reid
Hoffman
LinkedIn
Employed
at
Employed
at??
Employs
9

10. Direc4on
of
Associa4on
name
Employs
Employed
at
10
! Note:
one
of
the
names
already
exists
▫ We
already
defined
it
when
crea3ng
the
first
associa3on

11. Direc4on
of
Associa4on
name
! Go
to
the
employment
topic
by
clicking
on
employs
at
the
LinkedIn
topic
page
▫ Or
search
for
employs
! Add
the
second
name
for
the
employment
associa3on
! Add
the
full
name:
Employment
! Complete
the
names
for
all
your
associa3on
types
11

12. Roles
Walt
Disney
Company
Pixar
Subsidiary
12

13. Roles
Pixar
Organisa3on
Subsidiary
13
Walt
Disney
Company
Organisa3on

14. Roles
Pixar
Subsidiary
Parent
Daughter
14
Walt
Disney
Company

15. Roles
W
P
Daughter
Parent
15

16. Roles
! Think
of
appropriate
roles
for
your
associa3on
types
! Note:
in
many
cases
role
types
are
equal
to
the
player
types
16

17. Ontology
page
! Now
that
our
topic
maps
contain
types,
we
can
use
them
as
entry-­‐points
! You
can
use
the
ontology
page
for
an
overview
at
type
level
17

18. Scoping,
iden3fica3on,
merging,
reifica3on
18

19. Scope
! Scope
adds
seman3c
context
to
topic
characteris3cs
! For
example:
▫ Mouse
House
is
the
nickname
for
Walt
Disney
▫ BackRub
was
renamed
to
Google
in
1998
! Scope
makes
this
difference
possible
▫ Nickname
can
be
a
scope
▫ Past
can
be
a
scope
! Scoping
is
also
oNen
used
for
transla3ons
19

20. Scope
! Scope
is
a
set
of
topics
on
▫ Names
▫ Occurrences
▫ Associa3ons
▫ Roles
! Naming
associa3on
types
is
done
by
scoping
▫ The
name
for
a
direc3on
is
scoped
by
the
appropriate
role
type
topic
20

21. ! Experiment
with
scoping
topic
names
in
your
topic
map
! Add
a
scope
to
a
name
by
hovering
over
the
name
and
click
Add
scope
! The
entry
field
that
appears
works
just
like
any
other
topic
field
in
Kamala
Scope
21

22. Iden4fica4on
! A
topic
name
is
not
necessarily
unique
▫ The
name
Springfield
is
used
for
a
lot
of
loca3ons
and
people
 hbp://en.wikipedia.org/wiki/Springfield
 Note
that
this
URL
is
not
a
good
iden3fica3on
! A
name
can
have
mul3ple
meanings,
such
as
spring
▫ The
season
▫ Origin
/
source
▫ A
verb:
to
rise
22

23. Iden4fica4on
! To
uniquely
iden3fy
a
topic,
naming
is
not
enough
! We
use
URIs
! Iden3fica3on
makes
it
possible
to
recognize
and
merge
topics
describing
the
same
subject
23

24. Iden4fica4on
! Go
to
hbp://www.linkedin.com/in/reidhoffman
! This
page
is
about
Reid
Hoffman,
execu3ve
chairman
of
LinkedIn
! We
can
use
this
URI
to
iden3fy
the
topic
on
Reid
Hoffman
in
our
topic
map
24

25. Iden4fica4on
! Add
the
URI
as
iden3fier
via
de
topic
page
of
Reid
Hoffman
25

26. Iden4fica4on
! Do
the
same
for
the
topic
Execu)ve
Chairman
with
the
URL
hbp://live.dbpedia.org/page/Chairman
! Now
add
other
topic
iden3fiers
for
your
topics
26

27. Merging
topics
! When
two
topics
describe
the
same
subject,
they
should
be
merged
▫ One
topic
equals
one
subject
▫ One
subject
equals
one
topic
! Make
a
new
topic
with
the
name
Chairman
! This
topic
represents
the
same
subject
as
the
topic
Execu)ve
chairman
and
should
therefore
be
merged
! By
merging
two
topics,
the
proper3es
of
both
topics
are
combined
27

28. Merging
topics
! Go
to
the
overview
of
Execu3ve
Chairman
! Click
the
icon
for
merging
(
)
! Click
Remember
this
topic
on
the
tab
By
selec)on
! Go
to
the
Chairman
page
and
click
the
icon
for
merging
! Choose
Merge
remembered
topic
with
this
topic
28

29. Reifica4on
! What
if
we
want
to
state
something
about
an
associa3on
instead
of
a
topic,
for
example
the
Employment
of
Reid
Hoffman
as
execu3ve
chairman
! Reifica3on
is
used
to
represent
a
topic
name,
associa3on
or
occurrence
by
a
topic
! For
the
associa3on
between
Reid
Hoffman
and
execu3ve
chairman,
you
can
state
that
this
associa3on
started
in
February
2007
29

30. Reifica4on
Execu3ve
Chairman
Employment
as
Execu3ve
Chairman
Hoffman’s
employment
as
EC
February
2007
Start
date
30
Reid
Hoffman

31. Reifica4on
! Go
to
the
topic
Reid
Hoffman
! At
the
role
execu)ve
chairman,
hover
over
the
arrow
! Choose
Add
reifica)on
! Name
the
new
topic
Hoffman’s
employment
as
EC
! OK
or
enter
and
accept
the
crea3on
of
a
new
topic
31

32. Reifica4on
! Click
on
Reified
as
Hoffman’s
employment
as
EC
! Add
an
occurrence
of
the
type
Start
date
and
value
February
1st
2007
with
Add
Quick
Characteris3cs
32

33. Wrap
up
advanced
constructs
! Using
types,
scopes,
reifica3on
and
other
constructs
allows
you
to
add
structure
and
enrich
your
knowledge
map
! View
the
next
prac3cal
session
to
learn
more
about
ontology
and
schema

34. Thank
you
for
your
interest
in
Kamala.
Keep
up
to
date
on
new
features
at
kamala-­‐cloud.com
34