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©2007 Rommel Novaes Carvalho –University of Brasília
A G U I T o o l fo r P la u s ib le R e a s o n in gA G U I T o o l fo r P la u s ib le R e a s o n in g
in th e S e m a n tic W e b u s in g M E B Nin th e S e m a n tic W e b u s in g M E B N
S ession B-III: Intelligent Data Mining
Rommel Novaes Carvalho
rommel.carvalho@ gmail.com
A d v is o r: P ro f. D r. M a rc e lo L a d e ira
C o -A d v is o r: D r. P a u lo C e s a r G . d a C o s ta
Intelligent S ystems Design and Applications (IS DA), UERJ – Rio de Janeiro, Brazil 23/10/2007
©2007 Rommel Novaes Carvalho – University of Brasília
2
Te a m
M s S tu d e n t
R o m m e l N o v a e s C a rv a lh o /U n B - B ra z il
A d v is o r
P ro f. D r. M a rc e lo L a d e ira /U n B - B ra z il
C o -A d v is o r
D r. P a u lo C é s a r G . d a C o s ta /G M U - U S A
C o m p u te r S c ie n c e S tu d e n ts
L a é c io L . d o s S a n to s /U n B - B ra z il
S h o u M a ts u m o to /U n B - B ra z il
©2007 Rommel Novaes Carvalho – University of Brasília
3
A g e n d a
In tro d u c tio n
U n d e rs ta n d in g B N lim ita tio n s
U n d e rs ta n d in g M E B N
B N + F O L = M E B N
M T h e o ry a n d M F ra g
M E B N + O W L = P R -O W L
B u ild in g m y firs t M T h e o ry
S S B N in U n B B a y e s
K B - E n titie s
K B - F in d in g s
Q u e ry
B o o to m -u p a lg o rith m
C o n c lu s io n s
©2007 Rommel Novaes Carvalho – University of Brasília
4
In tro d u c tio n
R e p re s e n tin g a n d c o m m u n ic a tin gR e p re s e n tin g a n d c o m m u n ic a tin g
N e e d o f re p re s e n tin g a n d c o m m u n ic a tin g
In fo rm a tio n te c h n o lo g y re v o lu tio n ->
k n o w le d g e re v o lu tio n
D a ta d riv e n a c tiv itie s -> k n o w le d g e d riv e n
a c tiv itie s
T h e S e m a n tic W e b (S W )w ill a c h ie v e its fu ll
p o te n tia l w h e n it b e c o m e s a p la c e w h e re d a ta
c a n b e s h a re d a n d p ro c e s s e d b y a u to m a tic to o ls
th e s a m e w a y it is c u rre n tly d o n e b y h u m a n
b e in g s [2].
O n to lo g ie s c o n ta in a c o m m o n s e t o f te rm s fo r
d e s c rib in g a n d re p re s e n tin g a d o m a in a llo w in g
th e S W a c h ie v e its fu ll p o te n tia l.
“W h ite ” - s y n ta c tic <> S W <> u n c e rta in ty S W
U R W 3-X G
©2007 Rommel Novaes Carvalho – University of Brasília
5
In tro d u c tio n
U n c e rta in ty in S e m a n tic W e bU n c e rta in ty in S e m a n tic W e b
O n e o f th e m o s t p ro m is in g a p p ro a c h e s to d e a l
w ith u n c e rta in ty in th e S W is B a y e s ia n n e tw o rk s
(B N )[6]
H o w e v e r, B N s h a v e s o m e lim ita tio n s o n
re p re s e n ta tio n a l p o w e r th a t re s tric ts th e ir u s e fo r
th e S W
N u m b e r o f v a ria b le s is fix e d
N o re c u rs io n
U s e o f th e e x p re s s iv e n e s s o f firs t o rd e r lo g ic
(F O L )to o v e rc o m e th is s h o rtc o m in g s
T h is fra m e w o rk is b a s e d o n th e p ro b a b ilis tic
o n to lo g y la n g u a g e P R -O W L [7, 8], w h ic h u s e s
M u lti-E n tity B a y e s ia n N e tw o rk s (M E B N )[9, 1 0]
a s its u n d e rly in g lo g ic .
©2007 Rommel Novaes Carvalho – University of Brasília
6
U n d e rs ta n d in g B N lim ita tio n s
N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s
P ro b le m : D is c rim in a te s ta rs h ip s a n d m a k eP ro b le m : D is c rim in a te s ta rs h ip s a n d m a k e
d e c is io n s b a s e d o n u n c e rta in a n d in c o m p le ted e c is io n s b a s e d o n u n c e rta in a n d in c o m p le te
in fo rm a tio n .in fo rm a tio n .
©2007 Rommel Novaes Carvalho – University of Brasília
7
U n d e rs ta n d in g B N lim ita tio n s
N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s
P ro b le m : D is c rim in a te s ta rs h ip s a n d m a k eP ro b le m : D is c rim in a te s ta rs h ip s a n d m a k e
d e c is io n s b a s e d o n u n c e rta in a n d in c o m p le ted e c is io n s b a s e d o n u n c e rta in a n d in c o m p le te
in fo rm a tio n .in fo rm a tio n .
Bayesian ReasoningBayesian Reasoning::
Update old beliefs with newUpdate old beliefs with new
evidences. All new data areevidences. All new data are
considered.considered.
©2007 Rommel Novaes Carvalho – University of Brasília
8
U n d e rs ta n d in g B N lim ita tio n s
N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s
P ro b le m : D is c rim in a te s ta rs h ip s a n d m a k eP ro b le m : D is c rim in a te s ta rs h ip s a n d m a k e
d e c is io n s b a s e d o n u n c e rta in a n d in c o m p le ted e c is io n s b a s e d o n u n c e rta in a n d in c o m p le te
in fo rm a tio n .in fo rm a tio n .
©2007 Rommel Novaes Carvalho – University of Brasília
9
U n d e rs ta n d in g B N lim ita tio n s
N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s
W h a t h a p p e n s if m o re th a n o n e s ta rs h ip s h o wW h a t h a p p e n s if m o re th a n o n e s ta rs h ip s h o w
u p a t th e s a m e tim e ? B u ild a B N fo r e a c hu p a t th e s a m e tim e ? B u ild a B N fo r e a c h
p o s s ib le c o n te x t?p o s s ib le c o n te x t?
©2007 Rommel Novaes Carvalho – University of Brasília
10
U n d e rs ta n d in g B N lim ita tio n s
N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s
W h a t h a p p e n s if m o re th a n o n e s ta rs h ip s h o wW h a t h a p p e n s if m o re th a n o n e s ta rs h ip s h o w
u p a t th e s a m e tim e ? B u ild a B N fo r e a c hu p a t th e s a m e tim e ? B u ild a B N fo r e a c h
p o s s ib le c o n te x t?p o s s ib le c o n te x t?
©2007 Rommel Novaes Carvalho – University of Brasília
11
U n d e rs ta n d in g B N lim ita tio n s
R e c u rs io nR e c u rs io n
L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .
H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e
n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k
m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
©2007 Rommel Novaes Carvalho – University of Brasília
12
U n d e rs ta n d in g B N lim ita tio n s
R e c u rs io nR e c u rs io n
L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .
H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e
n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k
m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
©2007 Rommel Novaes Carvalho – University of Brasília
13
U n d e rs ta n d in g B N lim ita tio n s
R e c u rs io nR e c u rs io n
L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .
H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e
n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k
m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
©2007 Rommel Novaes Carvalho – University of Brasília
14
U n d e rs ta n d in g B N lim ita tio n s
R e c u rs io nR e c u rs io n
L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .
H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e
n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k
m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
©2007 Rommel Novaes Carvalho – University of Brasília
15
U n d e rs ta n d in g B N lim ita tio n s
R e c u rs io nR e c u rs io n
L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .
H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e
n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k
m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
©2007 Rommel Novaes Carvalho – University of Brasília
16
U n d e rs ta n d in g B N lim ita tio n s
R e c u rs io nR e c u rs io n
L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .
H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e
n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k
m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
©2007 Rommel Novaes Carvalho – University of Brasília
17
U n d e rs ta n d in g M E B N
B N + F O L = M E B NB N + F O L = M E B N
M E B N is a fo rm a lis m th a t b rin g s to g e th e r th e
e x p re s s iv e n e s s o f firs t o rd e r lo g ic (F O L )w ith
B N ’s a b ility to p e rfo rm p la u s ib le re a s o n in g .
©2007 Rommel Novaes Carvalho – University of Brasília
18
U n d e rs ta n d in g M E B N
M T h e o ry a n d M F ra gM T h e o ry a n d M F ra g
Context
Nodes
Input
Nodes
Resident
Nodes
A n M T h e o ry is a s e t o f M F ra g s th a t s a tis fy c e rta in F O L
c o n s is te n c e c o n d itio n s th a t g u a ra n ty th e e x is te n c e o f a
u n iq u e J P D (J o in t P ro b a b ility D is trib u tio n )u n d e r its R V s
(R a n d o m Va ria b le s ). M F ra g c o n s is ts o f b o th a s e t o f C P Ts
a n d F O L lo g ic a l c o n s tra in ts th a t fix e d th e ir v a lid a tin g
c o n d itio n s .
©2007 Rommel Novaes Carvalho – University of Brasília
19
U n d e rs ta n d in g M E B N
M E B N + O W L = P R -O W LM E B N + O W L = P R -O W L
P R -O W L w a s p ro p o s e d a s a n e x te n s io n to th e
O W L la n g u a g e b a s e d o n M E B N , w h ic h c a n
e x p re s s a p ro b a b ilis tic d is trib u tio n u n d e r a n y
a x io m a tic F O L th e o ry m o d e l.
©2007 Rommel Novaes Carvalho – University of Brasília
20
B u ild in g m y firs t M T h e o ry
R e s id e n t n o d e sR e s id e n t n o d e s
©2007 Rommel Novaes Carvalho – University of Brasília
21
B u ild in g m y firs t M T h e o ry
In p u t n o d e s a n d re c u rs io nIn p u t n o d e s a n d re c u rs io n
©2007 Rommel Novaes Carvalho – University of Brasília
22
B u ild in g m y firs t M T h e o ry
C o n te x t n o d e sC o n te x t n o d e s
©2007 Rommel Novaes Carvalho – University of Brasília
23
B u ild in g m y firs t M T h e o ry
D in a m ic ta b le a n d n u m b e r o f v a ria b le sD in a m ic ta b le a n d n u m b e r o f v a ria b le s
©2007 Rommel Novaes Carvalho – University of Brasília
24
B u ild in g m y firs t M T h e o ry
S a v in g th e u b f a n d p r-o w l fileS a v in g th e u b f a n d p r-o w l file
UBF
PR-OWL
UnBBayes
Save
©2007 Rommel Novaes Carvalho – University of Brasília
25
S S B N in U n B B a y e s
K B - E n titie sK B - E n titie s
©2007 Rommel Novaes Carvalho – University of Brasília
26
S S B N in U n B B a y e s
K B - F in d in g sK B - F in d in g s
©2007 Rommel Novaes Carvalho – University of Brasília
27
S S B N in U n B B a y e s
Q u e ryQ u e ry
HarmPotential(!ST4, !T0) = ?HarmPotential(!ST4, !T0) = ?
©2007 Rommel Novaes Carvalho – University of Brasília
28
S S B N in U n B B a y e s
B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
©2007 Rommel Novaes Carvalho – University of Brasília
29
S S B N in U n B B a y e s
B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
©2007 Rommel Novaes Carvalho – University of Brasília
30
S S B N in U n B B a y e s
B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
©2007 Rommel Novaes Carvalho – University of Brasília
31
S S B N in U n B B a y e s
B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
©2007 Rommel Novaes Carvalho – University of Brasília
32
S S B N in U n B B a y e s
B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
©2007 Rommel Novaes Carvalho – University of Brasília
33
S S B N in U n B B a y e s
B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
©2007 Rommel Novaes Carvalho – University of Brasília
34
C o n c lu s io n s
A G U I w a s d e v e lo p e d to fa c ilita te th e c re a tio n o f
p ro b a b ilis tic o n to lo g ie s b u ilt o n b o th M F ra g s a n d
M th e o rie s .
A M E B N C P T fo rm u la e d ito r w a s d e v e lo p e d to d e a l
w ith p re v io u s ly u n k n o w n n u m b e r o f n o d e s .
F a c ilitie s w e re p ro v id e d to c re a te , lo a d , a n d s a v e
M E B N m o d e ls in th e P R -O W L file fo rm a t.
P o s s ib ly, th e firs t M E B N fra m e w o rk
im p le m e n ta tio n in th e w o rld .
It m a k e s e a s ie r th e ta s k o f m o d e llin g re a l d o m a in
b a s e d o n M E B N a n d P R -O W L .
G o o d fo r re s e a rc h a s U n B B a y e s is a n o p e n
s o u rc e s o ftw a re .
T h is re s e a rc h re p re s e n ts a c o n trib u tio n to th e S W
©2007 Rommel Novaes Carvalho – University of Brasília
35
Q & A – th a n k y o u !
©2007 Rommel Novaes Carvalho – University of Brasília
36
U n B B a y e s C u rre n t
S ta te
A lp h a v e rs io n s c h e d u le d to J a n u a ry 2008,
in c lu d in g :
S S B N a lg o rith m
a c o m p le te to y c a s e s tu d y
S ta rtre k
A re a l c a s e s tu d y s c h e d u le d to J u ly 2008
C o m p le te u s e r g u id e in J u ly 2008
C o n ta c t:
ro m m e l.c a rv a lh o @ g m a il.c o m
p c o s ta @ g m u .e d u

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A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN

  • 1. ©2007 Rommel Novaes Carvalho –University of Brasília A G U I T o o l fo r P la u s ib le R e a s o n in gA G U I T o o l fo r P la u s ib le R e a s o n in g in th e S e m a n tic W e b u s in g M E B Nin th e S e m a n tic W e b u s in g M E B N S ession B-III: Intelligent Data Mining Rommel Novaes Carvalho rommel.carvalho@ gmail.com A d v is o r: P ro f. D r. M a rc e lo L a d e ira C o -A d v is o r: D r. P a u lo C e s a r G . d a C o s ta Intelligent S ystems Design and Applications (IS DA), UERJ – Rio de Janeiro, Brazil 23/10/2007
  • 2. ©2007 Rommel Novaes Carvalho – University of Brasília 2 Te a m M s S tu d e n t R o m m e l N o v a e s C a rv a lh o /U n B - B ra z il A d v is o r P ro f. D r. M a rc e lo L a d e ira /U n B - B ra z il C o -A d v is o r D r. P a u lo C é s a r G . d a C o s ta /G M U - U S A C o m p u te r S c ie n c e S tu d e n ts L a é c io L . d o s S a n to s /U n B - B ra z il S h o u M a ts u m o to /U n B - B ra z il
  • 3. ©2007 Rommel Novaes Carvalho – University of Brasília 3 A g e n d a In tro d u c tio n U n d e rs ta n d in g B N lim ita tio n s U n d e rs ta n d in g M E B N B N + F O L = M E B N M T h e o ry a n d M F ra g M E B N + O W L = P R -O W L B u ild in g m y firs t M T h e o ry S S B N in U n B B a y e s K B - E n titie s K B - F in d in g s Q u e ry B o o to m -u p a lg o rith m C o n c lu s io n s
  • 4. ©2007 Rommel Novaes Carvalho – University of Brasília 4 In tro d u c tio n R e p re s e n tin g a n d c o m m u n ic a tin gR e p re s e n tin g a n d c o m m u n ic a tin g N e e d o f re p re s e n tin g a n d c o m m u n ic a tin g In fo rm a tio n te c h n o lo g y re v o lu tio n -> k n o w le d g e re v o lu tio n D a ta d riv e n a c tiv itie s -> k n o w le d g e d riv e n a c tiv itie s T h e S e m a n tic W e b (S W )w ill a c h ie v e its fu ll p o te n tia l w h e n it b e c o m e s a p la c e w h e re d a ta c a n b e s h a re d a n d p ro c e s s e d b y a u to m a tic to o ls th e s a m e w a y it is c u rre n tly d o n e b y h u m a n b e in g s [2]. O n to lo g ie s c o n ta in a c o m m o n s e t o f te rm s fo r d e s c rib in g a n d re p re s e n tin g a d o m a in a llo w in g th e S W a c h ie v e its fu ll p o te n tia l. “W h ite ” - s y n ta c tic <> S W <> u n c e rta in ty S W U R W 3-X G
  • 5. ©2007 Rommel Novaes Carvalho – University of Brasília 5 In tro d u c tio n U n c e rta in ty in S e m a n tic W e bU n c e rta in ty in S e m a n tic W e b O n e o f th e m o s t p ro m is in g a p p ro a c h e s to d e a l w ith u n c e rta in ty in th e S W is B a y e s ia n n e tw o rk s (B N )[6] H o w e v e r, B N s h a v e s o m e lim ita tio n s o n re p re s e n ta tio n a l p o w e r th a t re s tric ts th e ir u s e fo r th e S W N u m b e r o f v a ria b le s is fix e d N o re c u rs io n U s e o f th e e x p re s s iv e n e s s o f firs t o rd e r lo g ic (F O L )to o v e rc o m e th is s h o rtc o m in g s T h is fra m e w o rk is b a s e d o n th e p ro b a b ilis tic o n to lo g y la n g u a g e P R -O W L [7, 8], w h ic h u s e s M u lti-E n tity B a y e s ia n N e tw o rk s (M E B N )[9, 1 0] a s its u n d e rly in g lo g ic .
  • 6. ©2007 Rommel Novaes Carvalho – University of Brasília 6 U n d e rs ta n d in g B N lim ita tio n s N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s P ro b le m : D is c rim in a te s ta rs h ip s a n d m a k eP ro b le m : D is c rim in a te s ta rs h ip s a n d m a k e d e c is io n s b a s e d o n u n c e rta in a n d in c o m p le ted e c is io n s b a s e d o n u n c e rta in a n d in c o m p le te in fo rm a tio n .in fo rm a tio n .
  • 7. ©2007 Rommel Novaes Carvalho – University of Brasília 7 U n d e rs ta n d in g B N lim ita tio n s N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s P ro b le m : D is c rim in a te s ta rs h ip s a n d m a k eP ro b le m : D is c rim in a te s ta rs h ip s a n d m a k e d e c is io n s b a s e d o n u n c e rta in a n d in c o m p le ted e c is io n s b a s e d o n u n c e rta in a n d in c o m p le te in fo rm a tio n .in fo rm a tio n . Bayesian ReasoningBayesian Reasoning:: Update old beliefs with newUpdate old beliefs with new evidences. All new data areevidences. All new data are considered.considered.
  • 8. ©2007 Rommel Novaes Carvalho – University of Brasília 8 U n d e rs ta n d in g B N lim ita tio n s N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s P ro b le m : D is c rim in a te s ta rs h ip s a n d m a k eP ro b le m : D is c rim in a te s ta rs h ip s a n d m a k e d e c is io n s b a s e d o n u n c e rta in a n d in c o m p le ted e c is io n s b a s e d o n u n c e rta in a n d in c o m p le te in fo rm a tio n .in fo rm a tio n .
  • 9. ©2007 Rommel Novaes Carvalho – University of Brasília 9 U n d e rs ta n d in g B N lim ita tio n s N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s W h a t h a p p e n s if m o re th a n o n e s ta rs h ip s h o wW h a t h a p p e n s if m o re th a n o n e s ta rs h ip s h o w u p a t th e s a m e tim e ? B u ild a B N fo r e a c hu p a t th e s a m e tim e ? B u ild a B N fo r e a c h p o s s ib le c o n te x t?p o s s ib le c o n te x t?
  • 10. ©2007 Rommel Novaes Carvalho – University of Brasília 10 U n d e rs ta n d in g B N lim ita tio n s N u m b e r o f v a ria b le sN u m b e r o f v a ria b le s W h a t h a p p e n s if m o re th a n o n e s ta rs h ip s h o wW h a t h a p p e n s if m o re th a n o n e s ta rs h ip s h o w u p a t th e s a m e tim e ? B u ild a B N fo r e a c hu p a t th e s a m e tim e ? B u ild a B N fo r e a c h p o s s ib le c o n te x t?p o s s ib le c o n te x t?
  • 11. ©2007 Rommel Novaes Carvalho – University of Brasília 11 U n d e rs ta n d in g B N lim ita tio n s R e c u rs io nR e c u rs io n L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip . H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
  • 12. ©2007 Rommel Novaes Carvalho – University of Brasília 12 U n d e rs ta n d in g B N lim ita tio n s R e c u rs io nR e c u rs io n L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip . H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
  • 13. ©2007 Rommel Novaes Carvalho – University of Brasília 13 U n d e rs ta n d in g B N lim ita tio n s R e c u rs io nR e c u rs io n L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip . H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
  • 14. ©2007 Rommel Novaes Carvalho – University of Brasília 14 U n d e rs ta n d in g B N lim ita tio n s R e c u rs io nR e c u rs io n L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip . H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
  • 15. ©2007 Rommel Novaes Carvalho – University of Brasília 15 U n d e rs ta n d in g B N lim ita tio n s R e c u rs io nR e c u rs io n L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip . H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
  • 16. ©2007 Rommel Novaes Carvalho – University of Brasília 16 U n d e rs ta n d in g B N lim ita tio n s R e c u rs io nR e c u rs io n L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip .L e ts s u p p o s e th a t th e re is ju s t o n e s ta rs h ip . H o w to re a liz e if th e D M R is d u e to th e z o n eH o w to re a liz e if th e D M R is d u e to th e z o n e n a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a kn a tu re (a le a to ry )o r to th e s ta rs h ip 's c lo a k m o d e (c o n s ta n t)?m o d e (c o n s ta n t)?
  • 17. ©2007 Rommel Novaes Carvalho – University of Brasília 17 U n d e rs ta n d in g M E B N B N + F O L = M E B NB N + F O L = M E B N M E B N is a fo rm a lis m th a t b rin g s to g e th e r th e e x p re s s iv e n e s s o f firs t o rd e r lo g ic (F O L )w ith B N ’s a b ility to p e rfo rm p la u s ib le re a s o n in g .
  • 18. ©2007 Rommel Novaes Carvalho – University of Brasília 18 U n d e rs ta n d in g M E B N M T h e o ry a n d M F ra gM T h e o ry a n d M F ra g Context Nodes Input Nodes Resident Nodes A n M T h e o ry is a s e t o f M F ra g s th a t s a tis fy c e rta in F O L c o n s is te n c e c o n d itio n s th a t g u a ra n ty th e e x is te n c e o f a u n iq u e J P D (J o in t P ro b a b ility D is trib u tio n )u n d e r its R V s (R a n d o m Va ria b le s ). M F ra g c o n s is ts o f b o th a s e t o f C P Ts a n d F O L lo g ic a l c o n s tra in ts th a t fix e d th e ir v a lid a tin g c o n d itio n s .
  • 19. ©2007 Rommel Novaes Carvalho – University of Brasília 19 U n d e rs ta n d in g M E B N M E B N + O W L = P R -O W LM E B N + O W L = P R -O W L P R -O W L w a s p ro p o s e d a s a n e x te n s io n to th e O W L la n g u a g e b a s e d o n M E B N , w h ic h c a n e x p re s s a p ro b a b ilis tic d is trib u tio n u n d e r a n y a x io m a tic F O L th e o ry m o d e l.
  • 20. ©2007 Rommel Novaes Carvalho – University of Brasília 20 B u ild in g m y firs t M T h e o ry R e s id e n t n o d e sR e s id e n t n o d e s
  • 21. ©2007 Rommel Novaes Carvalho – University of Brasília 21 B u ild in g m y firs t M T h e o ry In p u t n o d e s a n d re c u rs io nIn p u t n o d e s a n d re c u rs io n
  • 22. ©2007 Rommel Novaes Carvalho – University of Brasília 22 B u ild in g m y firs t M T h e o ry C o n te x t n o d e sC o n te x t n o d e s
  • 23. ©2007 Rommel Novaes Carvalho – University of Brasília 23 B u ild in g m y firs t M T h e o ry D in a m ic ta b le a n d n u m b e r o f v a ria b le sD in a m ic ta b le a n d n u m b e r o f v a ria b le s
  • 24. ©2007 Rommel Novaes Carvalho – University of Brasília 24 B u ild in g m y firs t M T h e o ry S a v in g th e u b f a n d p r-o w l fileS a v in g th e u b f a n d p r-o w l file UBF PR-OWL UnBBayes Save
  • 25. ©2007 Rommel Novaes Carvalho – University of Brasília 25 S S B N in U n B B a y e s K B - E n titie sK B - E n titie s
  • 26. ©2007 Rommel Novaes Carvalho – University of Brasília 26 S S B N in U n B B a y e s K B - F in d in g sK B - F in d in g s
  • 27. ©2007 Rommel Novaes Carvalho – University of Brasília 27 S S B N in U n B B a y e s Q u e ryQ u e ry HarmPotential(!ST4, !T0) = ?HarmPotential(!ST4, !T0) = ?
  • 28. ©2007 Rommel Novaes Carvalho – University of Brasília 28 S S B N in U n B B a y e s B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
  • 29. ©2007 Rommel Novaes Carvalho – University of Brasília 29 S S B N in U n B B a y e s B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
  • 30. ©2007 Rommel Novaes Carvalho – University of Brasília 30 S S B N in U n B B a y e s B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
  • 31. ©2007 Rommel Novaes Carvalho – University of Brasília 31 S S B N in U n B B a y e s B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
  • 32. ©2007 Rommel Novaes Carvalho – University of Brasília 32 S S B N in U n B B a y e s B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
  • 33. ©2007 Rommel Novaes Carvalho – University of Brasília 33 S S B N in U n B B a y e s B o tto m -u p a lg o rith mB o tto m -u p a lg o rith m
  • 34. ©2007 Rommel Novaes Carvalho – University of Brasília 34 C o n c lu s io n s A G U I w a s d e v e lo p e d to fa c ilita te th e c re a tio n o f p ro b a b ilis tic o n to lo g ie s b u ilt o n b o th M F ra g s a n d M th e o rie s . A M E B N C P T fo rm u la e d ito r w a s d e v e lo p e d to d e a l w ith p re v io u s ly u n k n o w n n u m b e r o f n o d e s . F a c ilitie s w e re p ro v id e d to c re a te , lo a d , a n d s a v e M E B N m o d e ls in th e P R -O W L file fo rm a t. P o s s ib ly, th e firs t M E B N fra m e w o rk im p le m e n ta tio n in th e w o rld . It m a k e s e a s ie r th e ta s k o f m o d e llin g re a l d o m a in b a s e d o n M E B N a n d P R -O W L . G o o d fo r re s e a rc h a s U n B B a y e s is a n o p e n s o u rc e s o ftw a re . T h is re s e a rc h re p re s e n ts a c o n trib u tio n to th e S W
  • 35. ©2007 Rommel Novaes Carvalho – University of Brasília 35 Q & A – th a n k y o u !
  • 36. ©2007 Rommel Novaes Carvalho – University of Brasília 36 U n B B a y e s C u rre n t S ta te A lp h a v e rs io n s c h e d u le d to J a n u a ry 2008, in c lu d in g : S S B N a lg o rith m a c o m p le te to y c a s e s tu d y S ta rtre k A re a l c a s e s tu d y s c h e d u le d to J u ly 2008 C o m p le te u s e r g u id e in J u ly 2008 C o n ta c t: ro m m e l.c a rv a lh o @ g m a il.c o m p c o s ta @ g m u .e d u