PhD Dissertation Supporting tools for automated generation and visual editing of relational-to-ontology mappings

by

Álvaro Sicilia Gómez

S U P P O RT I N G TO O L S F O R AU TO M AT E D

G E N E R AT I O N A N D V I S UA L E D I T I N G O F

R E L AT I O N A L-TO - O N TO LO G Y M A P P I N G S

ETSEEI LA SALLE – UNIVERSITAT RAMON LLULLPrograma oficial de doctorat Tecnologies de la informaciói la comunicació i la seva gestió19 December 2016, Barcelona, Spain

Supervised by

Dr. German NemirovskiDr. Leandro Madrazo Agudín

Supporting Tools For Automated Generation And Visual Editing Of Relational-to-ontology Mappings 19.12.2016 Barcelona,Spain 2

Background

Mo

tiva

tio

n

&

go

als

RÉPENER

SEMANCO


Background

Ontology mapping collaborative web environment

Madrazo, Sicilia, & Nemirovski, 2013Nemirovski, Nolle, Sicilia, Ballarini, & Corrado, 2013

Sicilia & Nemirovski, 2016

Automated generation of relational-to-ontology

mappings

Map-OnMo

tiva

tio

n

&

go

als

ENERSI

AutoMap4OBDA

Sicilia, Nemirovki, & Nolle, 2016

Visual support for relational-to-ontology

mapping editing

RÉPENER

Madrazo, Massetti, Sicilia, Wadel, & Ianni, 2015Sicilia, Nemirovski, Massetti, & Madrazo, 2015

SEMANCO

Supporting Tools For Automated Generation And Visual Editing Of Relational-to-ontology Mappings 19.12.2016 Barcelona,Spain

Outline

4


Introduction


Introduction


Introduction


Introduction: RÉPENER project





EnergyModel DATASource ICAEN: NombresOriginales

Categoria Sublevel Variables Unidades / admitted valuesMetodología de obtenciónVariables Definition Reference

Certificate - code of the data set (ICAEN) ICAEN translation Expr1

ProjectData - Buildong ID (of ICAEN) this is a new variable aggregated to the original ICAEN database. It is extracted from the ICAEN variable "code of the data set (ICAEN)", i .e., "Expr1"ICAEN translation extracted from ICAEN

ProjectData - date of data set format predefined: "yyyy-mm-dd" own (DATAMINE-->A) extracted from ICAEN

ProjectData - building life cycle phase {design;

realown (DATAMINE) extracted from ICAEN

ProjectData - version own (ICAEN)

ProjectData - origin of data set {calculation data set; monitoring data set; other}own (EN 15603; DATAMINE --> H applied type of energy rating)

ProjectData name of the data source - own

Certificate date of certification ICAEN translation DATASORCAT

Certificate - energy qualification obtained ICAEN translation QUALIF_OBTINGUDA

Certificate - Registration code (ICAEN database) ICAEN translation

Certificate - General option (for Spanish certification) ICAEN translation OPCIO_GENERAL

Certificate - punctuation of Decret d’Ecoeficiència ICAEN translation NORM_PUNT

Certificate - Simplified option (for Spanish certification) ICAEN translation OPCIO_SIMPLIFICADA

ProjectData - calculation software {Energy Plus; Trnsys; ESP-r; DOE2; Ecotect; Archisun; Vasari; other}own (DATAMINE-->A)

ProjectData - main building utilisation - DATAMINE-->B ID_USEDIFICI

ProjectData - building location: city - DATAMINE-->B ID_LOCALITAT

BuildingProperties BGeometry compactness m2/m3EN 15217:2007

BGeometry compactness (ICAEN database / Spanish certification)m3/m2disambiguation: different definitions exist for this term, according to local source ICAEN, and according to REPENER standard definitionsICAEN translation / Ministerio de Vivienda , Ministerio de Industria, Turismo y Comercio, …, Memoria de Cálculo correspondiente a la Opción Simplificada para la Calificación de Eficiencia Energética de Edificios de Viviendas.CARACT_GEN_COMPACITAT

BGeometry Conditioned Floor Area m2DATAMINE-->B CARACT_GEN_SUP

BGeometry Envelope area m2own (DATAMINE-->C)

BPhysicalProperties average U-value of envelope W/m2 K

the value is the avarege of

the different own (DATAMINE-->C)

BuildingSystems degree of centralisation of 1. heat generator - the applicable value is specified for the first heat generator. The first heat generator is the main system of heat generation in the building (that one which produces the largest amount of heat). If this informationis not available, the first heat generator is determined by its use according this order: first heating, then hot water, then cooling; when different generators serve the same use, first heat generator is determined according to the degree of centralization: first centralized systems, then individual syistemDATAMINE-->D generated

BSystem hot water system type {both c i none} ICAEN translation CARACT_INST_TIPUSACS

BSystem heating system type {both c i none} ICAEN translation CARACT_INST_TIPUSCAL

BSystem joint generation of heating and hot water {true; false} ICAEN translation CARACT_CALACSSI

BSystem total usefull power hot water KW ICAEN translation CARACT_INST_POTACS

BSystem total useful power heating KW ICAEN translation CARACT_INST_POTCAL

BSystem useful power heating and hot water KW ICAEN translation CARACT_CALACSPOT

BSystem energy carrier for individual hot water system - ICAEN translation CARACT_INST_FONTACSIND

BSystem energy carrier for individual heating system - ICAEN translation CARACT_INST_FONTCALIND

BSystem energy carrier for central hot water system - ICAEN translation CARACT_INST_FONTACS

BSystem energy carrier for central heating system - ICAEN translation CARACT_INST_FONTCAL

BuildingSystems solar contribution for hot water % ICAEN translation / CTE-HE, 2006 CARACT_ALTRES_ACS

BSystem joint generation of heating and cooling {true; false} ICAEN translation CARACT_CALREFSI

BuildingSystems Photovoltaic power installed kWp ICAEN translation / CTE-HE, 2006 / ??EN 15316-4-6:2007??CARACT_ALTRES_POT

BSystem cooling system type {both c i none} ICAEN translation CARACT_INST_TIPUSREFR

BuildingSystems use of 1. heat generator used by the air conditioning/cooling system DATAMINE-->D



-

-


Introduction: SEMANCO project







-

-


Outline

16


Research Problem, Objectives, and Methodology

Visualization created with Navigowl: http://home.deib.polimi.it/hussain/navigowl/downloads.htmlVisualization created with WWW SQL Designer:

https://github.com/ondras/wwwsqldesigner



Visualization created with Navigowl: http://home.deib.polimi.it/hussain/navigowl/downloads.htmlVisualization created with WWW SQL Designer:

https://github.com/ondras/wwwsqldesigner









Ontology mapping collaborative web environment

Automated generation of relational-to-ontology

mappings

Map-OnMo

tiva

tio

n

&

go

als

ENERSI

AutoMap4OBDA

Visual support for relational-to-ontology

mapping editing

RÉPENER

SEMANCO


Outline

23


Automated Generation of Relational-to-Ontology Mappings





<mapping> a rr:TriplesMap;

rr:logicalTable

[ rr:sqlQuery "SELECT id FROM building"];

rr:subjectMap

[ rr:template ".../building/{id}";

rr:class ex:Building

].


rr:logicalTable

[ rr:sqlQuery "SELECT id FROM building

WHERE use = 'Office'"];

rr:subjectMap

[ rr:template ".../officebuilding/{id}";

rr:class ex:OfficeBuilding

].





•

•

•



•

•

•

•

•

•



•

•

•

•

•

•

•

•













𝐻 𝐼𝐷 :9.32

Max. class name length: 11

𝐻 𝑈𝑠𝑒 : 4.12 𝐻 𝐴𝑑𝑑𝑟𝑒𝑠𝑠 : 2.15

𝐻 𝑂𝑛𝑡𝑜𝑙𝑜𝑔𝑦 : 5.31







{∅}









<mapping2> a rr:TriplesMap;

rr:logicalTable[rr:sqlQuery "SELECT id,use FROM building"];

rr:subjectMap [

rr:template ".../building/{id}"; rr:class ex:Building].

rr:predicateObjectMap [ rr:predicate ex:hasUse;

rr:template ".../use/{use}" ].

rr:predicateObjectMap [rr:predicate ex:use;

rr:column "{use}" ].


rr:logicalTable [rr:sqlQuery "SELECT id FROM building"];

rr:subjectMap [

rr:template ".../district/{id}"; rr:class ex:District].


rr:logicalTable [rr:sqlQuery "SELECT use FROM building"];

rr:subjectMap [

rr:template ".../use/{use}"; rr:class ex:Use].

rr:predicateObjectMap [rr:predicate ex:use;

rr:column "{use}" ].


rr:logicalTable [rr:sqlQuery "SELECT id FROM building"];

rr:subjectMap [

rr:template ".../building/{id}"; rr:class ex:Building].

rr:predicateObjectMap [ rr:predicate ex:hasDistrict;

rr:template ".../district/{id}" ].



http://owlapi.sourceforge.net/

http://pascal-hitzler.de/resources/Strings.zip

http://michellecheatham.com/files/PropString.zip

http://jgrapht.org/



45



46


Scenarios B.OX IncM. ontop MIRR. COMA D2RQ AM4O

Adjusted namingCMT 0.76 0.45 0.28 0.28 0.48 0.31 0.56

Conference 0.51 0.53 0.26 0.27 0.36 0.26 0.56

SIGKDD 0.86 0.76 0.38 0.30 0.66 0.38 0.86

RestructuredCMT 0.41 0.44 0.14 0.17 0.38 0.14 0.41

Conference 0.41 0.41 0.13 0.23 0.31 0.21 0.54

SIGKDD 0.52 0.38 0.21 0.11 0.41 0.28 0.72

Combined case SIGKDD 0.48 0.38 0.21 0.11 0.28 0.28 0.62

Missing FK Conference 0.33 0.41 - 0.17 0.21 0.18 0.49

Denormalized CMT 0.44 0.40 0.20 0.22 - 0.20 0.52

GeoData Classic Rel 0.13 0.08 - - - 0.06 0.44

Oil&Gas domain User Queries 0.00 0.00 0.00 0.00 - 0.00 0.00

Atomic 0.14 0.12 0.10 0.00 0.00 0.08 0.23

Target ontology: CMT

Conference 0.20 0.35 0.10 0.00 0.00 0.10 0.15

SIGKDD 0.33 0.33 0.19 0.00 0.14 0.19 0.38

Target ontology: Conference

CMT 0.20 0.34 0.05 0.00 0.05 0.05 0.39

SIGKDD 0.13 0.30 0.09 0.00 0.04 0.09 0.17

Target ontology: SIGKDD

CMT 0.51 0.57 0.19 0.00 0.24 0.26 0.41

Conference 0.24 0.44 0.13 0.00 0.09 0.14 0.19

Average of the tests 0.36 0.37 0.15 0.10 0.20 0.18 0.43


47


Scenarios B.OX IncM. ontop MIRR. COMA D2RQ AM4O

Adjusted namingCMT 0.76 0.45 0.28 0.28 0.48 0.31 0.56

Conference 0.51 0.53 0.26 0.27 0.36 0.26 0.56

SIGKDD 0.86 0.76 0.38 0.30 0.66 0.38 0.86

RestructuredCMT 0.41 0.44 0.14 0.17 0.38 0.14 0.41

Conference 0.41 0.41 0.13 0.23 0.31 0.21 0.54

SIGKDD 0.52 0.38 0.21 0.11 0.41 0.28 0.72

Combined case SIGKDD 0.48 0.38 0.21 0.11 0.28 0.28 0.62

Missing FK Conference 0.33 0.41 - 0.17 0.21 0.18 0.49

Denormalized CMT 0.44 0.40 0.20 0.22 - 0.20 0.52

GeoData Classic Rel 0.13 0.08 - - - 0.06 0.44

Oil&Gas domain User Queries 0.00 0.00 0.00 0.00 - 0.00 0.00

Atomic 0.14 0.12 0.10 0.00 0.00 0.08 0.23

Target ontology: CMT

Conference 0.20 0.35 0.10 0.00 0.00 0.10 0.15

SIGKDD 0.33 0.33 0.19 0.00 0.14 0.19 0.38

Target ontology: Conference

CMT 0.20 0.34 0.05 0.00 0.05 0.05 0.39

SIGKDD 0.13 0.30 0.09 0.00 0.04 0.09 0.17

Target ontology: SIGKDD

CMT 0.51 0.57 0.19 0.00 0.24 0.26 0.41

Conference 0.24 0.44 0.13 0.00 0.09 0.14 0.19

Average of the tests 0.36 0.37 0.15 0.10 0.20 0.18 0.43

=

=

==

=


48


rr:logicalTable

[ rr:sqlQuery "SELECT pipnpdidpipe FROM pipline

WHERE pipmedium = 'Oil'"];

rr:subjectMap

[ rr:template ".../ oilpipeline/{pipnpdidpipe}";

rr:class npd:OilPipeline ].



49

-

http://doi.org/10.1007/978-3-319-49004-5_37


Outline

50


Visual Support for Relational-to-Ontology Mapping Editing


rr:logicalTable [

rr:sqlQuery "SELECT a.id, d.id FROM

building AS a INNER JOIN Block AS b ON

a.fkBlock=b.id INNER JOIN District AS c ON

b.fkDistrict=c.id INNER JOIN City AS d ON

c.fkCity=d.id"];

rr:subjectMap

[ rr:template ".../building/{a.id}";

rr:class ex:Building

].

rr:predicateObjectMap [

rr:predicate ex:hasCity;

rr:template ".../city/{d.id}" ].


52


































http://codeigniter.com/

http://github.com/anvaka/VivaGraphJS

http://www.easyrdf.org/

http://github.com/semsol/arc2

http://codemirror.net/







0%

20%

40%

60%

80%

100%

Task 1 Task 2 Task 3

Accuracy

0

5

10

15

20

Task 1 Task 2 Task 3

Completion time (minutes)



1 2 3 4 5

I found the tool unnecessarilycomplex

I thought the tool was noteasy to use

I think that I would need timeto learn to use the tool

I imagine taht most peoplewould learn to use the tool…

I found the tool verycumbersome to use

I felt very confident using thetool

I need to learn a lot of thingsbefore I could get going…

I found the tool unnecessarily complex

I thought the tool was not easy to use

I think that I would need time to learn to use the tool

I imagine that most people would learn to use the tool quickly

I found the tool very cumbersome to useI felt very confident using the tool

I need to learn a lot of things before I could get going with the tool

completely agree

completely disagree













78

-

http://www.semantic-web-journal.net/content/map-web-based-editor-visual-ontology-mapping-0


Outline

79


Conclusions and further work

80



81



82



83


References

84


References

85

by

Álvaro Sicilia Gómez

S U P P O R T I N G T O O L S F O R A U T O M AT E D G E N E R AT I O N A N D

V I S U A L E D I T I N G O F R E L AT I O N A L-T O - O N T O L O G Y M A P P I N G S

ETSEEI LA SALLE – UNIVERSITAT RAMON LLULLPrograma oficial de doctorat Tecnologies de la informaciói la comunicació i la seva gestió19 December 2016, Barcelona, Spain

Supervised by

Dr. German NemirovskiDr. Leandro Madrazo Agudín

Engineering

PhD Dissertation Supporting tools for automated generation and visual editing of relational-to-ontology mappings