Knowledge Management, Ontology, Semantic Web, Artificial Intelligence, Social Web Analytics, Social Network Analytics, Natural Language Processing

1. Dr. Dickson Lukose
Artificial Intelligence Lab.
6th November 2015
Application of Semantic
Technology in Knowledge
Management
11th
Interna*onal
Conference
on
Knowledge
Management
November
4-­‐6
Osaka,
Japan

2. Contents
• Types of Knowledge Management
• Data, Information & Knowledge Challenges
• Semantic Technology Platform
– Text Understanding
– Natural Language Query
– Data Harmonization
• Knowledge Management Portals
• Social Media Intelligence
• Social Network Intelligence
• Conclusions
2
© 2015 MIMOS Berhad. All Rights Reserved.

3. People & process-oriented KM
initiatives
• Cultural and Readiness
Assessment
• Formulation of a KM Strategy,
Framework & Strategic Planning
• Knowledge Audit & Knowledge
Management Audit
• Change Management
• KM Assessment including the
definition of metrics & reporting of
Intellectual Capital (IC)
• Community of Practices / Special
Interest Groups (SIG)
Technology-oriented KM
deployments
• Search Engine configuration,
testing & deployment
• Taxonomy development,
maintenance & governance
• Collaboration System
• Enterprise Portal
• Electronic Document Management
System (EDMS)
• Knowledge / Information
Repositories
• Content Management System
(CMS) & Applications (CMA)
• E-Learning
• Intelligent System
• Blogging / Weblogs / RSS
Readers / Wikis
3
Type of Knowledge Management Projects
Technology-oriented KM
deployments
• Search Engine configuration,
testing & deployment
• Taxonomy development,
maintenance & governance
• Collaboration System
• Enterprise Portal
• Electronic Document Management
System (EDMS)
• Knowledge / Information
Repositories
• Content Management System
(CMS) & Applications (CMA)
• E-Learning
• Intelligent System
• Blogging / Weblogs / RSS
Readers / Wikis
Lessons
learnt
from
nearly
two
hundred
cases
of
KM
journeys
by
Hong
Kong
and
Asian
Enterprises
Prof.
Eric
Tsui,
Hong
Kong
PolyU
© 2015 MIMOS Berhad. All Rights Reserved.

4. World of Data
©
2015
MIMOS
Berhad.
All
Rights
Reserved.
4
Structured
Unstructured

5. Knowledge Audit
2015
MIMOS
Berhad.
All
Rights
Reserved.
5
Enterprise
Data
Linked
Open
Data
Sensor
Web
ACTIONABLE
KNOWLEDGE
ASSETS
Structured,
Semi-­‐Structured
&
Unstructured
Unstructured
Structured
&
Semi-­‐Structured

6. Ontology
Technical
WriTng
Term
Databanks
Machine
TranslaTon
Human
TranslaTon
InformaTon
Retrieval
Knowledge
Engineering
Consumer
InformaTon
R&D
StandardisaTon
Nomenclature
Terminology
AGROVOC
MYGMO
PADIPEDIA
AGRIS
HERBAL
MEDICINE
2015
MIMOS
Berhad.
All
Rights
Reserved.
6
SNOMED-CT
STW

7. Knowledge Portal Challenges
©
2015
MIMOS
Berhad.
All
Rights
Reserved.
7
Knowledge
Portal
Natural
Interface
High
Density
VisualizaTon
IntegraTon
and
Insight
into
Social
Media
CoP
Network
AnalyTcs
CollaboraT
ve
Problem
Solving
NOT
What
is
the
Content,
BUT,
What
is
in
the
Content
Making
Sense
of
Social
Big
Data
Big
Data
Challenges:
Velocity
Diversity
Volume
Seamless
Integra*on
of
SME
in
Problem
Solving

8. Semantic Technology Platform
8
© 2015 MIMOS Berhad. All Rights Reserved.

9. TEXT UNDERSTANDING

10. What is Text Understanding?
Conceptua
liza*on
John
is
going
to
the
bank
by
bus
Person
Human
Animate
Financial
insTtuTon
Road
vehicle
Agent
Des*na*on
using
Instrument
Inanimate
Knowledge
Graph
go
© 2015 MIMOS Berhad. All Rights Reserved.
English Text:
10
male-person:
“John” go: * bank: *
bus: *
agnt dest
inst

11. What is Text Understanding?
Penduduk
mendapat
bantuan
daripada
kerajaan
Human
Animate
resource
organizaTon
Inanimate
Knowledge
Graph
mendapat
Malay Text:
11
Agent
Resource
originaTng
Source
© 2015 MIMOS Berhad. All Rights Reserved.
Conceptua
liza*on

12. 大卫 在 图书馆 等了 3
小时。
What is Text Understanding?
Person
Human
Animate
Library
wait
12
3
hours
Mandarin Text:
© 2015 MIMOS Berhad. All Rights Reserved.
Knowledge
Graph
Agent
Loca*on
for
Time
LocaTon
Conceptua
liza*on

13. English NLP
Sentence
Knowledge
Graph
Syntax
Structure
13
© 2015 MIMOS Berhad. All Rights Reserved.

14. Malay NLP
Sentence:
Meningkatkan harga barang dan minyak kerana inflasi negara.
Annotated sentence:
Meningkatkan_VB harga_NN barang_NN dan_CC minyak_NN
kerana_CC inflasi_NN negara_NN
Knowledge Graph:
14
© 2015 MIMOS Berhad. All Rights Reserved.

15. Mandarin NLP
15
Text
Segmented
Text
Part-of-
Speech
Results
© 2015 MIMOS Berhad. All Rights Reserved.

16. Mandarin NLP
16
Text
Segmented
Text
Entity
Recognition
Results
© 2015 MIMOS Berhad. All Rights Reserved.

17. Mi-NLP Demo
17
© 2015 MIMOS Berhad. All Rights Reserved.

18. NATURAL LANGUAGE
QUERY

19. Traditional Search
Too
many
results
Pa]ern
matching
Pa]ern
matching
19
© 2015 MIMOS Berhad. All Rights Reserved.

20. Traditional Search
20
© 2015 MIMOS Berhad. All Rights Reserved.

21. Knowledge Base Preparation
Mi-­‐CLIP
Mi-­‐HARVESTER
Mi-­‐KRAKEN
Mi-­‐NLP
KNOWLEDGE
BASE
World
Wide
Web
Linked
Open
Data
Enterprise
Database
21
© 2015 MIMOS Berhad. All Rights Reserved.

22. Natural Language Query Interface
22
© 2015 MIMOS Berhad. All Rights Reserved.

23. Semantic Query
23
© 2015 MIMOS Berhad. All Rights Reserved.

24. Visual Semantic Query
©
2014
MIMOS
Berhad.
All
Rights
Reserved.
24

25. DATA HARMONIZATION

26. SNOMED CT terminology
311,000+
concepts
Hypertensive
complicaTon
[SCT_449759005]
Kidney
disease
[SCT_90708001]
NeoplasTc
disease
[SCT_55342001]
Hypertensive
renal
disease
[SCT_38481006]
Neoplasm
of
kidney
[SCT_126880001]
Renal
impairment
[SCT_236423003]
Chronic
renal
impairment
[SCT_236425005]
Kidney
disease
Concept
ID:
90708001
Preferred
term:
Kidney
disease
Synonym(s):
-­‐ Renal
Disease
-­‐ Nephrosis
-­‐ Disorder
of
kidney
-­‐ Nephropathy
-­‐ Disease
of
kidney
-­‐ Renal
disorder
26
4,060,716+
triples
1,360,000+
relaTonships
Disorder
of
abdomen
∧
Kidney
finding
∧
Disorder
of
body
cavity
∧
Disorder
of
kidney
and/or
ureter
∧
∃Finding_site.Kidney
structure
Logical
formula:
What can SNOMED CT
be used for?
© 2015 MIMOS Berhad. All Rights Reserved.

27. Data
HarmonizaTon
Process
HIS1
HIS2
HIS3
DB2
DB3
DB1
Schema
Tables
Tables
Schema
Schema
Tables
IT
Staff
(Consolidate
the
data)
Subject
Ma]er
Expert
(Interpret
the
data)
-­‐
Time
Consuming
-­‐
Limited
Resources
-­‐
Skills-­‐dependent
-­‐
Prone
to
errors
27
q Automate
processes
q Enable
seman*cs
q Improve
repor*ng
accuracy
SNOMED
CT
Big
Data:
Freetext
Challenge
© 2015 MIMOS Berhad. All Rights Reserved.

28. ID
Pa*ent
Name
Gender
Symptoms
Diagnosis
1
xx
M
FaTgue,
Chest
pain
Heart
failure
2
yy
F
Breathlessness
Asthma
ID
Nama
Pesakit
Jan*na
Tanda-­‐tanda
Diagnosis
1
aa
L
LeTh,
Sakit
dada
Lemah
jantung
2
bb
P
Sesak
nafas
Penyakit
lelah
ID
Pat.Name
Sex
Disorder
Diagnosis
1
kk
Male
Tiredness,
Pain
in
chest
Cardiac
failure
2
ll
Female
Dyspnea
BHR
HIS1
HIS2
HIS3
SNOMED
CT
(Refsets)
Challenge
of
freetext
[371484003]
[371484003]
[371484003]
[346741003]
[346741003]
[346741003]
[263495000]
[263495000]
[263495000]
[243814003]
[243814003]
[243814003]
[439401001]
[439401001]
[439401001]
[276179002]
[276179002]
[276179002]
[84229001]
[29857009]
[84229001]
[29857009]
[84229001]
[29857009]
[84114007]
[84114007]
[84114007]
[267036007]
[267036007]
[267036007]
28
Query:
how
many
cases
of
Dyspnea?
1
3
[195967001]
[195967001]
[195967001]
© 2015 MIMOS Berhad. All Rights Reserved.

29. Mi-Harmony Demo
29
© 2015 MIMOS Berhad. All Rights Reserved.

30. Question Answering System
Mi-CLIP
TM
Text Understanding
SQ VSQ
Knowledge
Graph
Texts
Question Mi-Reasoner
Answer
English
NLP
Malay
NLP
30
Mandarin
NLP
© 2015 MIMOS Berhad. All Rights Reserved.

31. KNOWLEDGE
MANAGEMENT
PORTALS

32. Knowledge Audit
2015
MIMOS
Berhad.
All
Rights
Reserved.
32
Enterprise
Data
Linked
Open
Data
Sensor
Web
ACTIONABLE
KNOWLEDGE
ASSETS
Structured,
Semi-­‐Structured
&
Unstructured
Unstructured
Structured
&
Semi-­‐Structured

33. Ontology
Technical
WriTng
Term
Databanks
Machine
TranslaTon
Human
TranslaTon
InformaTon
Retrieval
Knowledge
Engineering
Consumer
InformaTon
R&D
StandardisaTon
Nomenclature
Terminology
AGROVOC
MYGMO
PADIPEDIA
AGRIS
HERBAL
MEDICINE
2015
MIMOS
Berhad.
All
Rights
Reserved.
33
SNOMED-CT
STW

34. PADIPEDIA KNOWLEDGE REPOSITORY
PADDY
RESEARCH
G
R
O
W
T
H
S
T
A
G
E
SEEDLING
TILLERING
BOOTING
HEADING
FLOWERING
MILKY
RIPENING
PADDY
DIAGNOSTIC
ENGINE
PADDY
COMMUNITY
PROJECT
PUBLICATION
MACHINE
TECHNOLOGY
INTELLECTUAL
PROPERTY
2015
MIMOS
Berhad.
All
Rights
Reserved.
34

35. HERBAL MEDICINE KNOWLEDGE
REPOSITORY
HERBS
TRADITIONAL
MEDICINE
PHARMACOLOGY
PROCESS
P
L
A
N
T
P
A
R
T
ROOT
FLOWER
STEM
LEAF
SEEDS
PLANT
ANATOMY
HUMAN
ANATOMY
FRUIT
2015
MIMOS
Berhad.
All
Rights
Reserved.
35

36. PADIPEDIA ONTOLOGY DESIGN
2015
MIMOS
Berhad.
All
Rights
Reserved.
36
Technology
isPreparedForRMK
hasTargetDateOfCompletion
xsd:date
xsd:integer
isCommercializedBy
isRelatedToCluster
hasCompletionDate
hasCom
Desc
hasComDate
hasPriority
hasRelatedProject
hasDevDesc
isRelatedToCommodity
dc:description
dc:title
rdf:type
Padi
Classific
ation
xsd:string
xsd:string
xsd:date
xsd:date
foaf:
Project
Cluster
Commodity
xsd:string
xsd:string
xsd:integer
Corporate
KPI
hasCorporate
KPI
org:Orga
nization
diagnose:has
MainSymptom
diagnose:has
PestDetail
agrovoc:has
ScientificName
agrovoc:has
CommonName
diagnose:has
CharDetail
diagnose:isConfirmed
By
padi:hasManagement
diagnose:has
ControlDetail
diagnose:has
StageDetail
xsd:string
agrovoc:PestLife
Stage
rdf:type
Egg
Larva
Pupa
Adult
diagnose:destruct
At
padi:occurAt
agri:is
ManagedBy
diagnose:hasPest
Causal
xsd:string
xsd:string
agrovoc:
Pest
diagnose:Pest
Detail
diagnose:Main
Symptom
diagnose:Rice
HealthDamage
agrovoc:
GrowthStage
diagnose:affects
PlantPart
agrovoc:
PlantPart
xsd:string
diagnose:has
SymptomChar
xsd:string
xsd:string
agrovoc:
Management
agrovoc:
Control
xsd:string
diagnose:has
Symptom
xsd:string
diagnose:has
Symptom
Detail
diagnose:has
SymptomImage
diagnose:hasLife
CycleDetail
diagnose:Pest
LifeCycle
diagnose:has
LifeStage
agrovoc:Pest
LifeStage
diagnose:Symptom
Detail
diagnose:Sym
ptomChar
diagnose:
Symptom
diagnose:has
CharImage
xsd:string
diagnose:is
Contributed
By
foaf:
Person
diagnose:has
PestImage
Rice
growsIn
hasCropping
System
Cropping
System
agri:has
CropProfile
agri:
CropProfile
hasFamily
hasGenus
Family Genus
agri:hasProduction
Practices
Protection
Technology
agri:has
Species
Species
agri:has
ProductionPractices
Production
Technology
All properties have “agrovoc” namespace in front
unless different namespace is specified.
growsIn
Climate
influences
Agroclimatic
Zone
AgroEcoSystem
influences
padi:
RiceEcosystem
hasComponent
padi:RainfedRice
CroppingSystem
padi:RainfedUpland
padi:RainfedLowland
padi:IrrigatedRice
CroppingSystem
padi:SingleCroppingSystem
padi:DoubleCroppingSystem
SolarRadiation
Temperature
RelativeHumidity
Rainfall
Daylength
agri:Climate
Component
Variety
padi:Rice
Variety
hasVariety
Soil
skos:altlabel
xsd:string
agri:General
Description
Origin
agri:has
Origin
agri:has
Importance
agri:Importance
agri:NutritionalImportance
agri:StatisticalImportance
padi:SafetyAndHealthImportance
agri:hasGeneral
Description
padi:
Graminae
padi:
Oryza
padi:Cultivated
Species
padi:OSativa
Wild
Species
padi:ORufipogon
padi:OOfficinalis
padi:OGlaberimma
padi:ONivara
padi:RiceBasedCrop
RotationSystem
System
padi:AerobicRice
BasmatiVariety
padi:HerbicideTolerantVariety
HighYieldVariety
padi:JasmineVariety
padi:SpecialtyRice
padi:TraditionalRice
padi:Hybrid
Rice
padi:Inbred
Rice
padi:RiverineAlluvium
padi:MarineAlluvium
Rice
Ecotype
padi:has
RiceEcotype
padi:Indica
padi:Javanica
padi:Japonica
Mineral
Soil
Organic
Soil
padi:ShallowOrganicSoil
padi:ModerateAndDeepOrganicSoil
padi:Agriculture
Importance
padi:SeedlingMedium
padi:SiliconeBasedFertilizer
padi:BioCharcoal
padi:SoilImprovementMaterial
padi:BioComposite

37. HERBAL MEDICINE ONTOLOGY DESIGN
2015
MIMOS
Berhad.
All
Rights
Reserved.
37
Herb
xsd:string
xsd:string
xsd:string
xsd:string
xsd:string
Chemical
Constituent
hasIPNINo
hasTROPICOSNo
hasSynonym
skos:prefLabel
hasDescription
xsd:string
hasChemical
Constituent
Family
Name
hasFamilyName
dcterms:
Location
isOriginatedFrom
dcterms:
Location
hasDistributedPlace
hasLink
hasReference
xsd:string
hasFlora
OfChina
hasNatural
Occurance
dcterms:
Location
hasTemperature
Herb
Temperature
has
AnnualRainfall
propagated
By
hasAltitude
Herb
Altitude
PlantPart
SoilType
hasSoil
Type
Climate
hasClimate
hasRequired
Fertilizer
hasDisease
Detail
hasPest
Detail
Fertilizer
Disease
Detail
PestDetail
hasImageLink
hasVideoLink
xsd:string
xsd:string
hasSynonymLink
xsd:float
Herb
Annual
Rainfall
hasMinimum
Quantity
hasMeasurement
Unit
xsd:float
hasQuantity
hasMeasurement
Unit
hasMinimum
Quantity
hasMeasurement
Unit
Measurement
Unit
hasMaximum
Quantity
hasMaximum
Quantity
Plant
Disease
hasDisease
hasDisease
Control
Disease
Control
Pest
Control
Pest
hasPest
hasPest
Control
xsd:string
Herb
Product
hasProduce
PlantPart
Commercial
Product
hasCommercial
Product
hasPlant
PartUsed
causedBy
CausalAgent
xsd:float
xsd:float
xsd:float
Measurement
Unit
Measurement
Unit
hasDescription
xsd:string
hasDescription
xsd:string
herb:Herb
Traditional
Medicine
usedToTreat
Human
Disease
herb:hasPlant
PartUsed
herb:PlantPart
hasMedication
Prescription
Medication
Prescription
herb:hasReference
HerbUsed
hasHerb
herb:hasMeasurement
Unit
herb:
Measurement
Unit
xsd:float
herb:hasQuantity
herb:hasQuantity
xsd:float
herb:hasMeasurement
Unit
hasFrequency
hasTreatmentMethod
Activity
xsd:string
hasDuration
Duration
Prescription
process:hasProcess
process:Process
has
Traditional
Medicine
herb:hasLink
xsd:string
herb:hasQuantity
herb:hasMeasurement
Unit
xsd:string
herb:
Measurement
Unit
xsd:float
herb:
Measurement
Unit
applyOn
BodyArea
tradmed:
TraditionalMedicine
Process
expandTo
herb:hasDescription
xsd:string
followBy
hasProcess
hasInitial
Process
herb:Herb
Produced
Chemical
Phamacology
tradmed:
HumanDisease
hasProduced
Chemical
herb:hasMeasurement
Unit
herb:
Measurement
Unit
xsd:float
herb:
Chemical
Constituent
herb:hasChemical
Constituent
herb:hasLink
hasPharmacology
hasReference
protectAgainst
hasPharmacology
Toxicity
herb:hasQuantity
Chemical
Toxicity
hasConcentrationUnit
useTestModel
TestModel
hasPharmacology
Activity
Pharmacology
Activity
leadToToxicity Pharmacology
Toxicity
hasReference
xsd:string
hasChemical
Extract
useExtract
ExtractDetail
herb:hasQuantity
herb:
hasMeasurementUnit
hasConcentration
Unit
ExtractType
hasExtract
Type
extractFrom
herb:Plant
Part
hasTestModel
description
herb:
Measurement
Unit
xsd:string
xsd:float
xsd:string
xsd:string
herb:
Measurement
Unit
herb:
Measurement
Unit

38. Padipedia Demo
38
© 2015 MIMOS Berhad. All Rights Reserved.

39. SOCIAL MEDIA
INTELLIGENCE

40. Challenges and Solution
40
Internet
Expensive,
Lengthy
and
subject
to
Error
Manual
Searching
and
Monitoring
Automa*c
Eliminate
the
manual
process,
Save
Tme
and
cost
Aid
in
Decision
Making
Centralized
Analy*cs
Dashboards
© 2015 MIMOS Berhad. All Rights Reserved.

41. Social Media Analytics
Internet
3. Visual
reports
on
Insights
presented
to
decision
maker
for
further
ac8on
1. Harvest
content
from
the
internet
(world
wide
web,
social
web,
content
web)
Automated
Data
HarvesTng
2. Social
Media
Analy8cs
to
generate
insights
about
the
topic
of
interest
Social
Media
Analysis
©
2015
MIMOS
Berhad.
All
Rights
Reserved.
Domain
Ontology
41

42. Mi-Intelligence Process Overview
42
Expansion
HarvesTng
Processing
SubjecTve
AnalyTcs
Visual
AnalyTcs
Domain
Ontology
Insights
GATHER
DATA
SEMANTIFY
DATA
DISCOVER
KNOWLEDGE
IDENTIFY
PATTERNS
Domain
Ontology
ESTABLISH
SEARCHSPACE
©
2015
MIMOS
Berhad.
All
Rights
Reserved.
42

43. Automated Data Harvesting
©
2015
MIMOS
Berhad.
All
Rights
Reserved.
1. Harvest
content
from
the
internet
(world
wide
web,
social
web,
content
web)
Add
new
topics
to
analyse
Summary
of
data
harvested
and
processed
Search
topics
43

44. Content Insights
©
2015
MIMOS
Berhad.
All
Rights
Reserved.
Where
are
the
posts
coming
from?
Drill
down
to
discover
detailed
informaTon
about
posts
Who
are
the
users?
Where
are
the
posts
coming
from?
44

45. Social Media Analysis
©
2015
MIMOS
Berhad.
All
Rights
Reserved.
Sen*ments
Domain
Ontology
Emo*ons
Anxiety
machine
understandable
domain
knowledge
45

46. Social Media Analysis
©
2015
MIMOS
Berhad.
All
Rights
Reserved.
2. Social
Media
Analy8cs
to
generate
insights
about
the
topic
of
interest
Sub
topics
related
to
the
main
topic
SenTments
from
social
media
SenTments
from
different
regions
SenTments
from
different
regions
46

47. Social Media Analysis
©
2015
MIMOS
Berhad.
All
Rights
Reserved.
2. Social
Media
Analy8cs
to
generate
insights
about
the
topic
of
interest
Drill
down
to
discover
detailed
informaTon
about
posts
SenTments
from
different
regions
SenTments
from
different
regions
Narrow
down
to
the
individuals
posts
of
interest
47

48. Mi-Intelligence Demo
©
2014
MIMOS
Berhad.
All
Rights
Reserved.
48

49. SOCIAL NETWORK
INTELLIGENCE

50. 2015
MIMOS
Berhad.
All
Rights
Reserved.
Harvest,
Extract,
Harmonize,
and
Transform
Data
Informa8on
related
to
Suspects
Drugs
Cases
JKDM
WCO
Rule
Mining
(Machine
Learning)
SME
(Risk
Officer)
JKDM
HQ
Suspect
KB
Rules
Social
Network
IdenTficaTon
(Mi-­‐Target)
750
Suspects
30
Million
Facts
Suspect Data Preparations
50

51. Suspect Network Analysis
Harvest,
Extract,
Harmonize,
and
Transform
Data
Informa8on
related
to
Suspects
Suspect
Network
Analysis
Engine
(Mi-­‐Visuali*cs)
Poten*al
High
Risk
Individuals
• Most
InfluenTal
• Top
Connectors
Intelligence
Officers
Suspect
Watchlist
Drugs
Cases
JKDM
WCO
Suspect
KB
Intelligence
Officers
Other
Informa*on
2015
MIMOS
Berhad.
All
Rights
Reserved.
51

52. 2015
MIMOS
Berhad.
All
Rights
Reserved.
52
Rule
Mining
(Machine
Learning)
SME
(Risk
Officer)
Passenger Risk Profiling
Adap*ve
Personal
Demographic
Analysis
(Mi-­‐Target)
Observa*on:
• Travelling
Purpose
• DuraTon
of
Stay
• Profession
• Physical
Appearance
Flight
Informa*on:
• Flight
Code
• Airline
Operator
• DeparTng
Airport
• Arrival
Airport
Personal
Informa*on:
• Name
• Passport
Number
• NaTonality
• Age
Suspect
Watchlist
JKDM
HQ
Airports
Suspect
KB
Rules

53. Profiling Rules using Ego-Group
Intelligence
Officers
Suspect
Watchlist
Hector
B.L
Hector
Beltran
Leyva
Adap*ve
Personal
Demographic
Analysis
(MI-­‐Target)
Suspect
KB
Rules
Suspect
Network
Analysis
Engine
(Mi-­‐Visuali*cs)
2015
MIMOS
Berhad.
All
Rights
Reserved.
53

54. Mi-Visualitics Demo
54
© 2015 MIMOS Berhad. All Rights Reserved.

55. CONCLUSION

56. Where was Semantic Technology applied in
Knowledge Management ?
• Knowledge Harvesting (LOD)
• Social Media Harvesting & Filtering
• Knowledge Asset Organization &
Management
• Data Harmonization
• Text Understanding
• Natural Language Question Answering
• Semantic Search
• Social Media Intelligence
• Social Network Intelligence
• Knowledge Management Portal
56
© 2015 MIMOS Berhad. All Rights Reserved.

57. ありがとうございます

58. Knowledge Audit
2015
MIMOS
Berhad.
All
Rights
Reserved.
58
Enterprise
Data
Linked
Open
Data
Sensor
Web
ACTIONABLE
KNOWLEDGE
ASSETS
Structured,
Semi-­‐Structured
&
Unstructured
Unstructured
Structured
&
Semi-­‐Structured

59. Ontology
Technical
WriTng
Term
Databanks
Machine
TranslaTon
Human
TranslaTon
InformaTon
Retrieval
Knowledge
Engineering
Consumer
InformaTon
R&D
StandardisaTon
Nomenclature
Terminology
AGROVOC
MYGMO
PADIPEDIA
AGRIS
HERBAL
MEDICINE
2015
MIMOS
Berhad.
All
Rights
Reserved.
59
SNOMED-CT
STW