Physics and Electronics Laboratory

Ontologies in IMAT

Integrating Manuals and Training

Ontologies in IMAT

Integrating Manuals and Training

Suzanne Kabel

TNO Physics and Electronics Laboratory &

University of Amsterdam

Cyrille Desmoulins

LORIA & University Henri Poincaré, Nancy

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IMATwhat happens nowIMATwhat happens now

Technical Manuals

Trainingmaterial author

syst

em

lear

ner

Inserting domain knowledge

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IMATwhat should happenIMATwhat should happen

Technical Manuals

syst

em

lear

ner

Inserting domain knowledge

database

Trainingmaterial author

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The IMAT ConsortiumThe IMAT Consortium• Users partner for Training on Maintenance

RNLAF (NL) , weapon systems and helicopters

ETRA (SP), Traffic light control system

Renault and AFPA (F), Car body repair (ClioII)

• Research Partners

NL: University of Amsterdam and TNO

F : LORIA (Nancy) et EURISCO (Toulouse)• Software development partner

I : Technopolis Csata

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IMATIMAT

From Technical Manuals to trainingmaterial

1 - divide the Technical Manuals into fragments2 - index the fragments3 - store them in a database4 - retrieve the fragments5 - paste them into trainingmaterial

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IMAT: methodologyIMAT: methodology

• Top-down ontology-guided approach Domain ontologies

Components Tools Know-how Technical documentation

Instructional ontologies• The segmentation depends on the technical documentation structure : paragraphs, images, schemas.

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Global processGlobal processSource

Technical Doc

Pre-processing

SegmentedTechnical Doc

Domain Indexation and segmentation

Segmentedand indexed

Technical Doc

Element Constructor

FragmentsDatabase

DocumentDesigner

RetrievialTool

InstructionalIndexing

OtherTools

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Pre-processingPre-processingPaper-based Source

Technical Doc

Scanner + OCR

Scanned source Doc

Electronic Source Technical Doc (.doc, .pdf, .ps)

Structuration Structured Electronic Source

Technical Doc(XML)

Structured Electronic Source

Technical Doc(XML)

Generic Document Ontology

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Domain Indexation and SegmentationDomain Indexation and Segmentation

Segmentation

Fragments

DomainIndexation

DomainOntologies

Structured Electronic Source

Technical Doc(XML)

Technical Documentation

Ontology

Domain-indexedFragments

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Authoring and instructional indexing

Authoring and instructional indexing

AuthoringTool

InstructionalOntologies

ScenarioTool

DocumentDesigner

FragmentsDatabase

RetrievialTool

InstructionalIndexing

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Example : pedagogical document forBody Repair

Example : pedagogical document forBody Repair

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SourceDocument : Repairing Manual fromRenault CLIO II

SourceDocument : Repairing Manual fromRenault CLIO II

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Pre-processingPre-processing

Source documentation format : HTML

Process used : structuration in relation to the generic document ontology Structuring into chapter, sections, paragraphs,

etc. From the HTML layout tags

Output format : XML

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Generic document ontologyGeneric document ontology

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Paper-based source document :revue technique automobile (here Haynes)

Paper-based source document :revue technique automobile (here Haynes)

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Ontologie MR RenaultOntologie MR Renault

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Body repair ontology: methods and partsBody repair ontology: methods and parts

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Body repair ontology: toolsBody repair ontology: tools

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Text fragment indexingText fragment indexing

Tôle porte-phare

INTRODUCTION Le remplacement de cette pièce est une opération de base pour une collision avant. L’utilisation du gabarit de montage est indispensable.

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Pictural fragment indexingPictural fragment indexing

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IMAT - how are ontologies used

index the fragments

IMAT - how are ontologies used

index the fragments

HfbvkyfgvavfhvbakahsdbckasjcdbladhsbclakdvfbksdhfvbkhfgouthgouhgoughotruvgoehgoeutghoeuhOrtuhgutgoeutgeoughoeuhtouheotughoutgnouhgoutghoutgoetuheouoghokdvfbksdhfvbkhfgouthgouhgoughotruvgoehgoeutghoeuhOrtuhgutgoeutgeoughoeuhtouheotughoutgnouhgoutghoutgoetuheouoghokdvfbksdhfvbkhfgouthgouhgoughotruvgoehgoeutghoeuhOrtuhgutgoeutgeoughoeuhtouheotughoutgnouhgoutghoutgoetuheouoghosuirhvostugvtwromvgtrigj mortigj tgiji jit jeotij j

Source, date created, size, url

Ascii, section, running text

Short description of a procedure

About the databus

Explanation of how to solve a problem

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IMAT - how are ontologies used ontologies to index the fragmentsIMAT - how are ontologies used ontologies to index the fragments

syntactical aspect of a fragment- medium viewpoint- structural viewpoint- representational viewpoint

semantic aspect of a fragment- description viewpoint- domain viewpoint - instructional viewpoint

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IMAT - how are ontologies used Some attributes of a fragmentIMAT - how are ontologies used Some attributes of a fragment

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IMAT - how are ontologies used Use of indexingIMAT - how are ontologies used Use of indexing

1. Syntactic, automated indexing for document analysis purposes, not visible for the author.

2. Semantic indexing, partly automated using rules, visible for the instructional author to enable him/her to find the fragments.

3. Instrutional indexing by the instructional author (how and in what instructional setting is the fragment used), not automated.

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IMAT - requirements for ont. spec. lang. / XML

CML2IMAT - requirements for ont. spec. lang. / XML

CML2Ontologies are represented in CML2, conceptual knowledge modeling language, displayed in KADS22 tool.To date no unsolvable limitations of CML2 encountered for use of ontologies for indexing purposes.

http://www.swi.psy.uva.nl/projects/kads22

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IMAT - requirements for ont. spec. lang. / XML

CML2, ODQL and XMLIMAT - requirements for ont. spec. lang. / XML

CML2, ODQL and XMLOntologies are represented in CML2.CML2 is transformed to a database schema in ODQL.The fragmented and tagged technical manuals are represented in XML.