2015 12-11-v1-fkmp-presentation

Dr. Dickson Lukose

Artificial Intelligence Lab. 10th December 2015

Financial Knowledge

Management Portal

Knowledge Management Task Force (KMTF)

Contents

• Introduction to MIMOS

• Data, Information & Knowledge

Challenges

• Semantic Technology Platform

• Knowledge Management Portals

• Benefits

• Conclusion

2

© 2015 MIMOS Berhad. All Rights Reserved.

3

1985 - 1990

Unit under the Prime

Minister ‘s

Department: R&D in

ICT and

Microelectronics

1991 - 1996

A Department under

the Ministry of

Science, Technology

and the Environment:

emphasis on R&D

and assumed role in

IT policy development

1997- 2005

MIMOS Berhad was formed,

as a MoF Incorporated

Company

Mandates:

• R&D in ICT &

Microelectronics

• Business Development

• National ICT Policy

Secretariat

2006 - Present

R&D focus to develop the indigenous ICT

industry

MIMOS: An Overview

2014 MIMOS Berhad. All Rights Reserved.

New mandate ─ To focus on:

① R&D in ICT & Microelectronics for

national industry competitiveness

② Enhancing eco-system for E&E

industry

③ Generating New Technology

Ventures and Incubating Industry


4

MIMOS R&D Labs

Data Centric

Approach


5

INFORMATION SECURITY

PHOTONICS

NANOELECTRONICS

ADVANCED ANALYSIS &

MODELING

ARTIFICIAL

INTELLIGENCE

WIRELESS COMMUNICATIONS

ADVANCED INFORMATICS

ADVANCED

COMPUTING

MICRO-ELECTRONICS /ENERGY

ACCELERATIVE

TECHNOLOGY

MIMOS R&D Labs

INTELLIGENT

INFORMATICS USER

EXPERIENCE

World of Data


6

Structured

Unstructured

Semi-Structured

Data, Information & Knowledge Audit


7

Enterprise Data Linked Open Data

Sensor Web

ACTIONABLE KNOWLEDGE

ASSETS

Structured, Semi-Structured & Unstructured

Unstructured Structured & Semi-Structured

Knowledge Portal Challenges


8

Knowledge Portal

Natural Interface

High Density Visualization

Integration and Insight into Social

Media

CoP Network Analytics

Collaborative 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 Integration of

SME in Problem Solving

Ontology (Brain of Knowledge Portal)

Technical Writing

Term Databanks

Machine Translation

Human Translation

InformationRetrieval

Knowledge Engineering

Consumer Information

R&D

Standardisation

Nomenclature

Ontology

AGROVOC

MYGMO

PADIPEDIA

I-FIKR|ISRA

HERBAL MEDICINE


9

SNOMED-CT

STW

FIBO, FINANCE

Semantic Technology Platform

1

0 © 2015 MIMOS Berhad. All Rights Reserved.

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


11

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


12

PADIPEDIA ONTOLOGY DESIGN


13

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

MainSymptomdiagnose: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:stringdiagnose: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

Byfoaf:

Person

diagnose:has

PestImage

Rice

growsIn

hasCropping

System

Cropping

System

agri:has

CropProfile

agri:

CropProfile

hasFamilyhasGenus

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:

Graminaepadi:

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:ModerateAndDeepOrganicSoilpadi:Agriculture

Importance

padi:SeedlingMedium

padi:SiliconeBasedFertilizer

padi:BioCharcoal

padi:SoilImprovementMaterial

padi:BioComposite

HERBAL MEDICINE ONTOLOGY DESIGN


14

Herb

xsd:stringxsd:string

xsd:string

xsd:string

xsd:string

Chemical

Constituent

hasIPNINohasTROPICOSNo

hasSynonym

skos:prefLabel

hasDescription

xsd:string

hasChemical

Constituent

FamilyName

hasFamilyName

dcterms:Location

isOriginatedFrom

dcterms:Location

hasDistributedPlace

hasLink

hasReference

xsd:string

hasFlora

OfChina

hasNatural

Occurance

dcterms:Location

hasTemperature

HerbTemperature

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

QuantityhasMaximum

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:hasMeasurementUnit

herb:

Measurement

Unit

xsd:float

herb:hasQuantity

herb:hasQuantity

xsd:float

herb:hasMeasurement

Unit

hasFrequency

hasTreatmentMethod

Activity

xsd:string

hasDurationDuration

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

hasProcesshasInitial

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

extractFromherb:Plant

Part

hasTestModel

description

herb:

Measurement

Unit

xsd:string

xsd:float

xsd:string

xsd:string

herb:

Measurement

Unit

herb:

Measurement

Unit

KRSTE ONTOLOGY DESIGN


15

Report

rdfs:comment

dc:title

fromOrganization

dc:description

dc:rights

publishDate

hasResourceType

createdDate

xsd:date

Resource

Type

foaf:

Organization

xsd:string

hasLink

dc:publisher

dc:creator

foaf:

Person

dcterms:abstract

dc:language

Language

dc:identifier

Linkdc:source

isActivexsd:

boolean

sponsorship

fulltext

accessAvailability

accessClassification

projectManager

dcterms:tableOfContents

editor

dcterms:created

keyword

mrdcs:Structure

Code

rdf:type

rdfs:label

hasContributor

foaf:

Organization

dc:rights

rdfs:label

dc:description

hasLink

foaf:phone

hasFax

foaf:mbox

hasResource

Type createdDate

fromDataSource

headBy

contactPerson

orgID

FaxNumber

Telephone

Number

Resource

Type

foaf:Person

Email

xsd:dateData

Source

xsd:string

foaf:Group

dcterms:

isPartOf

ministry

foaf:member

hasAddress

Facility

belongTo

hasAcronym

hasFullLabel

Link

dc:source

isActive

xsd:

boolean

Address

v:streetaddress

v:postal-code

xsd:

stringhasCity

City

hasState

State

locatedIn

Country

locatedIn

activity

organizationRole

xsd:

string xsd:

string

rdfs:comment

skos:altLabel

rndActivity

xsd:

boolean

isBranchOf

mrdcs:Structure

Code

rdf:type

lastModifiedDate

Resource

Status

orgStatus

foaf:Agent

Research

Cluster

rdf:type

activity

Product

hasImagePath

rdfs:comment patentNumber

rdfs:label

fromOrganization

dc:description

dc:rights

dc:creator

hasResource

Type

createdDate

cost

xsd:date

Resource

Type

xsd:string

foaf:

Organization

foaf:

Person

xsd:float

rdf:type

mrds:Structure

Code

hasSourceOfTechnology

Technology

Source

hasCommercialization

Model

Commercialization

Model

revenueYear

xsd:

integer

salesRevenue

hasCommercialization

Status

Commercializati

onStatus

hasLink

Link

dc:sourceisActive

xsd:

boolean

hasState

State

locatedIn

Country

dc:date

lastModifiedDate

FacilityhasEquipment

foaf:

Organization

xsd:string

hasEquipmentModel

Equipment

hasYear

Purchased

hasQuantity

hasUsage

TeachinghasRND

Usage

hasPurpose

has

SharingCondition

hasCost

xsd:float

sourceCountryCountry

hasEquipment

hasUsage

Service

hasUsage

Othersxsd:integer

xsd:integer

xsd:integerxsd:integer

xsd:integer

xsd:integer

xsd:stringxsd:string

hasEquipmentSharingStatus

xsd:boolean

xsd:string

rdfs:label

KRSTE.my

16


Padipedia

17


Benefits


18

KRSTE.my 1. Central Repository of All Knowledge

Artifacts on Science, Technology and Innovation

2. Semantic Indexing based on MRCDS Taxonomy

3. Logical Reasoning using STI Ontology and MRDCS Taxonomy

4. Semantic/Meaning Based Search (Multi-Lingual)

5. Natural Language Interface for Question-Answering (Malay & English)

6. Semantic Visual Query for Reporting 7. Network Analysis on Researchers and

Collaborators and Co-Authors 8. Crowdsourcing for Artifacts

PADIPEDIA 1. Central Repository of All Knowledge

Artifacts on PADDY 2. Semantic Indexing based on PADDY

Ontology 3. Semantic/Meaning Based Search

(Multi-Lingual) 4. Natural Language Interface for

Question-Answering (Malay & English) 5. Current News and Events Automatically

Streamed 6. Social Media Integration 7. Tacit Knowledge of Subject Matter

Experts Encoded into the Knowledge Base

8. Tacit -> Explicit: Enable all Extension Officers on Malaysia to use scarce knowledge to help Parry Farmers

9. Crowdsourcing for Artifacts

Conclusion: Potential Key Benefits for

Financial Industry (Semantic Technology)


19

1. Fraud Detection 1. Effective Pattern Detection & Event Correlation 2. Effective Link Analysis

2. Eligibility and Suitability Rules 1. Account Acquisitions (Credit Card Eligibility, etc) 2. Loan Originations 3. Money Movement Transactions

3. Credit Risk Management 4. Integrated Financial Statements (XBRL, RDF/OWL) 5. Concept Extraction and Categorization from Unstructured text

1. eDiscovery of structured and unstructured contents for legal purpose 2. Customer Related Concept Extraction

6. Market Intelligence for Investment Analytics 1. Open Source Intelligence Capabilities 2. Low Latency Critical Notifications to Analysts

80% of the Content Generated today are in Unstructured Form

Conclusion: Islamic Finance

Ontology/Thesaurus – Google Search


20

ありがとうございます

2015 12-11-v1-fkmp-presentation

Data & Analytics