christoph scuetz caise bmo-olap_2013

CAiSE’13CAiSE 13

Business Model Ontologiesin OLAP Cubes

Christoph Schütz, Bernd Neumayr, Michael Schreflp , y ,

This work was supported by the FIT-IT research program of the Austrian Federal Ministry for Transport, Innovation, and Technology under grant FFG-829594 for the Semantic Cockpit project.

CAiSE’13Overview

CAiSE 13

Introduction■ Facts with Ontology-valued Measures

□ Base Facts□ Shared Facts

■ OLAP with Ontology-valued MeasuresM□ Merge

□ Abstraction

Implementation■ Implementation■ Summary and Future Work

2JKU Linz Institut für Wirtschaftsinformatik – Data & Knowledge Engineering

CAiSE’13Introduction

CAiSE 13

■ Traditional cube: Numeric measures

■ Many real-world facts do not boil down to numeric values

■ How do you measure complex situations? Example: intensity of competition



CAiSE 13

■ Analysts compile strategic analysis documents■ Not (only) numeric measures■ Not (only) numeric measures Ontology-valued measures

x:Marketing/Germany/Q1-2012

x:Marketing/France/Q1-2012x:Germany/Sales/Q2-2012

Germany

x:Germany/Production/Q2-2012

x:MegaCar x:sells x:MegaSUV

x:Familiesx:hasClient

x:Wex:Our_Truck

x:produces

x:Development/Germany/Q1-2012

x:Development/France/Q1-2012

x:France/Sales/Q2-2012 x:France/Production/Q2-2012

x:We x:sells x:Our_Truck

x:Food_Incx:hasClient x:MegaCar

x:hasSupplier

x:France/Sales/Q2 2012 x:France/Production/Q2 2012

Q1-2012France

x:MegaCar x:sells x:MegaSUV

x:Singlesx:hasClient

W ll O r SUV

x:MegaCarx:produces

x:MegaSUV

x:MidiCarx:hasSupplierx:hasSupplier

4JKU Linz Institut für Wirtschaftsinformatik – Data & Knowledge EngineeringSales Production

Q2-2012x:We x:sells x:Our_SUV

x:Familiesx:hasClientx:We

x:Our_SUVx:produces

asSupp e


CAiSE 13

■ Roll-up along the dimension hierarchiesCombine knowledge from different contexts■ Combine knowledge from different contexts

Union

Intersection



CAiSE 13


Union

Intersection



CAiSE 13

■ Alter the granularity of the ontologiesUse knowledge from the ontologies for■ Use knowledge from the ontologies for abstraction

x:Europe/Sales/Q2-2012 x:Europe/Sales/Q2-2012

x:MegaCar x:sells x:SUVsx:MegaCar x:sells x:MegaSUV

h Cli

Europe Abstract Europe



x:hasClient x:Food_Inc

x:Households

x:Corporate

x:hasClient

x:hasClient

x:sells

Q2-2012

x:We

x:Our_Truck

x:sells

x:Our_SUV

x:sellsx:hasClient

x:Trucksx:We

x:hasClient

x:sells


SalesQ2-2012

Sales

x:sells


CAiSE 13




h Cli





x:Households

x:Corporate

x:hasClient

x:hasClient

x:sells

Q2-2012

x:We

x:Our_Truck

x:sells

x:Our_SUV

x:sellsx:hasClient

x:Trucksx:We

x:hasClient

x:sells


SalesQ2-2012

Sales

x:sells

CAiSE’13Overview

CAiSE 13

■ Introduction Facts with Ontology-valued Measures



□ Abstraction



CAiSE’13Base Facts

CAiSE 13

x:Germany_Sales_Q2-2012

AgentsResourcesResources

Events



CAiSE 13


AgentsResources

x:Germany Q2-2012

x:Germany_Q2-2012_Sales_OurTruck

x:We

x:Food_Inc

x:OurTruck

x:Money

Resources

x:Germany_Q2 2012_Payment_OurTruck

Events



CAiSE 13


rea:provideAgentsResourcesx:qtySold

100

x:exchange

x:Germany Q2-2012


x:We

x:Food_Inc

rea:receive

rea:receive

x:OurTruckrea:stockflow

x:Moneyrea:stockflow

Resources

x:Germany_Q2 2012_Payment_OurTruckrea:provide

x:revenueEvents

10,200,000



CAiSE 13


rea:Group

rdf:typerea:provideAgents

Resource x:qtySoldrdf:type

x:ProductModel100

x:exchange

x:Germany Q2-2012


x:We

x:Food_Inc

rea:receive

rea:receive



Types x:PaymentType

rdf:type


x:revenueEvent Groups

rea:Grouprdf:type 10,200,000



CAiSE 13


rea:Group


Resource x:qtySoldrdf:type

x:ProductModel100

x:exchange

x:Germany Q2-2012


x:We

x:Food_Inc

rea:receive

rea:receive



Types x:PaymentType

rdf:type



rea:Grouprdf:type 10,200,000

A li ti M d l

x:Salerea:Event

rdfs:subClassOf

Application Model

rea:Agent

Metamodel Metamodel

x:Sale

x:exchangerdfs:domain

rdfs:range

rea:Event

rdfs:subClassOfrea:provide rea:receive

rdfs:domain

rdfs:range

rdfs:domain

rdfs:range


x:Payment

rdfs:range

rea:Event

rdfs:range rdfs:range


CAiSE 13


rea:Group


Resource

x:Sale

rdf:typex:qtySold

rdf:type

x:ProductModel100

x:exchange

x:Germany Q2-2012


x:We

x:Food_Inc

rea:receive

rea:receive



Types

rdf:type

x:PaymentType

rdf:type



rea:Grouprdf:type

rea:Resource

rdf:type

rdf:type

rea:Agent

rdf:typerdf:type

x:Payment

rdf:type

10,200,000

A li ti M d l

x:Salerea:Event

rdfs:subClassOf

Application Model

rea:Agent

Metamodel Metamodel

x:Sale

x:exchangerdfs:domain

rdfs:range

rea:Event

rdfs:subClassOfrea:provide rea:receive

rdfs:domain

rdfs:range

rdfs:domain

rdfs:range


x:Payment

rdfs:range

rea:Event

rdfs:range rdfs:range


CAiSE 13


rea:Group


Resource

x:Sale

rdf:typex:qtySold

rdf:type

x:ProductModel100

x:exchange

x:Germany Q2-2012


x:We

x:Food_Inc

rea:receive

rea:receive



Types

rdf:type

x:PaymentType

rdf:type



rea:Grouprdf:type

rea:Resource

rdf:type

rdf:type

rea:Agent

rdf:typerdf:type

x:Payment

rdf:type

10,200,000

ResourceGroups

Agents

x:Germany_Q2-2012_Sales_FunnySUVs

x:FunnyCarx:SUVsrea:stockflow

rdf:type

rdf:typerdf:typerea:provide

rea:receiverdf:type

rdf:typex:Sale

rdf:type

Resource Types

gx:exchange

x:Germany_Q2-2012_Payment_FunnySUVsx:Families

x:Moneyrea:stockflowAgent Groups

Event Groupsrdf:typerea:provide

rea:receive

rdf:type

rdf:type

rea:Grouprdf:type


Event Groups

rea:Group

rdf:type

rea:Agent

rdf:type

x:Paymentrea:Group

rdf:typex:PaymentType


CAiSE 13


CAiSE’13Shared Facts

CAiSE 13

■ Shared facts represent asserted knowledge at more abstract l l f b t tilevels of abstraction

■ Base facts inherit knowledge represented in the more abstract shared factsshared facts

■ Shared facts facilitate the analysis

‹ all › ‹ all ›‹ all ›Location

Organization

Time

‹ continent ›

‹ country ›

‹ year ›

‹ quarter ›

‹ department ›

Strategy


+ competition: RDF

Strategy


CAiSE 13

x:Organization Model

Time: ‹ all ›: Strategy

Organization: ‹ all ›

x:Organization_Model

Location: ‹ all ›x:OurTruck

x:ProductModel

x:Enterprise

rea:Agent

rdfs:subClassOfrdf:type

rdf:type

+ competition =x:Organization_Model

S l M d l

rdf:type

x:We

x:OurTruckx:Enterprise

x:FunnyCar x:CleverCar

rdf:type rdf:type x:OurSUV

Sales: ‹ department ›


x:Sales_Model

x:Families x:Singles

x:Households

x:OurTruck x:OurSUV

x:SUVsx:Trucks

rea:groupingrea:grouping


Time: ‹ all ›

+ competition =x:Sales_Model

: StrategyLocation: ‹ all ›

x:Families

rea:Group

x:Singles

rdf:typerdf:typex:Enterprise

x:Food_Incrdf:type

x:PaymentType

x:Moneyrdf:type

Production: ‹ department ›


x:Production_Model

x:ProductModel

rdf:type

x:ToolModel

rdf:type


Location: ‹ all › Time: ‹ all ›

+ competition =x:Production_Model

: Strategyx:Enterprise x:Binford

rdf:type

x:OurTruckEngine

x:CleverCarChassis

x:FunnySUVEngine

rdf:type

rdf:typex:BinfordRobot


CAiSE 13

x:Organization Model

Time: ‹ all ›: Strategy


x:Organization_Model

Location: ‹ all ›x:OurTruck

x:ProductModel

x:Enterprise

rea:Agent

rdfs:subClassOfrdf:type

rdf:type+ metamodel

andcommon

+ competition =x:Organization_Model

S l M d l

rdf:type

x:We

x:OurTruckx:Enterprise

x:FunnyCar x:CleverCar

rdf:type rdf:type x:OurSUVapplicationmodel

Sales: ‹ department ›


x:Sales_Model

x:Families x:Singles

x:Households

x:OurTruck x:OurSUV

x:SUVsx:Trucks



+ salesTime: ‹ all ›

+ competition =x:Sales_Model

: StrategyLocation: ‹ all ›

x:Families

rea:Group

x:Singles

rdf:typerdf:typex:Enterprise

x:Food_Incrdf:type

x:PaymentType

x:Moneyrdf:type

+ sales applicationmodel

Production: ‹ department ›


x:Production_Model

x:ProductModel

rdf:type

x:ToolModel

rdf:type + production


Location: ‹ all › Time: ‹ all ›

+ competition =x:Production_Model

: Strategyx:Enterprise x:Binford

rdf:type

x:OurTruckEngine

x:CleverCarChassis

x:FunnySUVEngine

rdf:type

rdf:typex:BinfordRobot

+ productionapplicationmodel

CAiSE’13Shared Facts (Inheritance)

CAiSE 13


CAiSE’13Overview

CAiSE 13

■ Introduction■ Facts with Ontology-valued Measures


OLAP with Ontology-valued MeasuresM□ Merge

□ Abstraction



CAiSE’13Merge (Union)

CAiSE 13



x:Werea:provide

x:Food_Inc rea:receive x:OurTruck

rea:stockflowx:France_Sales_Q2-2012

x:France_Q2-2012_Sales_OurSUV

x:Werea:provide

x:Families rea:receive x:OurSUV

rea:stockflow

rea:receive x:OurTruck


x:FunnyCarrea:provide

x:Families i x:SUVs

rea:stockflow

rea:receive

x:France_Q2-2012_Sales_FunnySUVs

x:FunnyCarrea:provide

x:Singles i x:SUVs

rea:stockflow

x:Families rea:receive x:SUVs x:Singles rea:receive x:SUVs

x:Europe_Sales_Q2-2012

x:Germany Q2-2012x:Food Increa:receive rea:stockflow

Union

CONSTRUCT { ?s ?p ?o } WHERE {{GRAPH x:Germany Sales Q2 2012 {


_

x:We rea:providex:France_Q2-2012_

Sales_OurSUVx:Families rea:receive

rea:provide

x:OurTruck

x:OurSUV

rea:stockflow

rea:stockflow

Union

GRAPH x:Germany_Sales_Q2-2012 {?s ?p ?o

} UNIONGRAPH x:France_Sales_Q2-2012 {?s ?p ?o

}

rea:receivex:Germany_Q2-2012_

Sales_FunnySUVsrea:receive

x:FunnyCar rea:providex:France_Q2-2012_Sales FunnySUVs

kfl

rea:provide

x:SUVs

rea:stockflow


}}

Sales_FunnySUVsx:Singles

rea:receiverea:stockflow

CAiSE’13Abstraction

CAiSE 13


F d Irea:receive rea:stockflow


x:Food_Inc


Sales OurSUVrea:provide

x:OurTruck

x:OurSUV

rea:stockflow

Sa es_Ou SUx:Families rea:receive


rea:receive

x:FunnyCar rea:provide x:SUVs

rea:stockflow


x:Singlesrea:receive

rea:stockflow

rea:provide



CAiSE 13




x:Food_Inc



x:OurTruck

x:OurSUV

rea:stockflow



rea:receive


rea:stockflow



rea:stockflow

rea:provide



CAiSE 13




x:Food_Inc



x:OurTruck

x:OurSUV

rea:stockflow



rea:receive


rea:stockflow

Sales Groups



rea:stockflow

rea:provide



CAiSE 13




x:Food_Inc



x:OurTruck

x:OurSUV

rea:stockflow



rea:receive


rea:stockflow

Sales Groups



rea:stockflow

rea:provide

RDFS Reasoner



CAiSE 13


F d Irea:receive



x:Food_Inc



x:OurTruck

x:OurSUV

x:Salerdf:type

rdf:type



rea:receive

x:FunnyCar rea:provide

rea:stockflow

x:SUVsrea:stockflow

x:Salerdf:type

Sales Groups

x:France_Q2-2012_Sales_FunnySUVsx:Singles

rea:receive rea:stockflow

rea:provide x:Salerdf:type

RDFS Reasoner



CAiSE 13


F d Irea:receive



x:Food_Inc



x:OurTruck

x:OurSUV

x:Salerdf:type

rdf:type



rea:receive


rea:stockflow

x:SUVsrea:stockflow

x:Salerdf:type

Sales Groups



rea:provide x:Salerdf:type



CAiSE 13


F d Irea:receive



x:Food_Inc



x:OurTruck

x:OurSUV

x:Salerdf:type

rdf:type



rea:receive


rea:stockflow

x:SUVsrea:stockflow

x:Salerdf:type

Sales Groups



rea:provide x:Salerdf:typex:Households


x:Families x:Singlesg p g

rdf:typerdf:type


rea:Group


CAiSE 13

x:Europe_Sales_Q2-2012_Abstraction



x:Food_Inc



x:OurTruck

x:OurSUV

rea:stockflow

_x:Households




rea:stockflow


rea:stockflow

rea:provide

rea:receive


CAiSE’13Merge (Intersection)

CAiSE 13


CAiSE’13Overview

CAiSE 13




□ Abstraction

Implementation Implementation■ Summary and Future Work


CAiSE’13Implementation

CAiSE 13

■ Based on hetero-homogeneous data warehousehtt //hh d dk i li t/http://hh-dw.dke.uni-linz.ac.at/

O l DB f th ltidi i l d l■ Oracle DB for the multidimensional model■ Jena tuple store for RDF graphs and Jena framework for

SPARQL queriesSPARQL queries

U i th ltidi i l d l i O l DB i d f■ Using the multidimensional model in Oracle DB as index for calculating the inherited knowledge


CAiSE’13Overview

CAiSE 13




□ Abstraction

Implementation■ Implementation Summary and Future Work


CAiSE’13Summary and Future Work

CAiSE 13

■ Ontology-valued measures for complex real-world facts that do t b il d t inot boil down to a numeric measure

Oth b i d l t l i f t l l d■ Other business model ontologies for ontology-valued measuresIn particular: e3value and its variants, e.g., e3forces

■ Provide for easier querying, examine other query languages


christoph scuetz caise bmo-olap_2013

Education

hasclient x

megacar x

megasuv x

truck x

sales x

abstraction x

hassupplier x

corporate x