Consensus building workshop
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Consensus building workshop. Conference track. Outline. Introduction (ideas behind the track) Evaluation Discussion – interesting mappings. Conference track - Features. Broadly understandable domain Conference Organisation Free exploration by participants within 10 ontologies

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Consensus building workshop

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Consensus building workshop

Consensus building workshop

Conference track


Outline

Outline

  • Introduction (ideas behind the track)

  • Evaluation

  • Discussion – interesting mappings


Conference track features

Conference track - Features

  • Broadly understandable domain Conference Organisation

  • Free exploration by participants within 10 ontologies

  • No a priori reference alignment

  • Participants: 6 research groups


Conference track dataset

Conference track - Dataset

OWL, tool Protege


Conference track participants

Conference track - Participants

  • 6 participants

    • Automs

    • Coma++

    • OWL-CtxMatch

    • Falcon

    • HMatch

    • RiMOM


Conference track goals

Conference track - Goals

  • Focus on interesting mappings and unclear mappings

    • Why should they be mapped?

      • Arguments: against and for

    • Which systems did discover them?

    • Differences in similarity measures

      • Underlying techniques?


Outline1

Outline…

  • Introduction (ideas behind the track)

  • Evaluation

  • Discussion – interesting mappings


Evaluation

Evaluation

  • Processing all mappings by hand

  • Assessment based on personal judgement of organisers (consistency problem)

  • Tags: TP, FP, interesting, ?, heterogenous mapping

  • Types of errors and phenomena:

    • subsumption, inverseproperty, siblings, lexical confusion


Evaluation1

Evaluation…

  • Subsumption mistaken for equivalence

    • Author,Paper_Author

    • Conference_Trip, Conference_part

  • Inverseproperty

    • has_author,authorOf

  • Siblings mistaken for equivalence

    • ProgramCommittee,Technical_commitee

  • Lexical confusion error

    • program,Program_chair

  • Relation – Class mapping

    • has_abstract,Abstract

    • Topic,coversTopic; read_paper,Paper


Evaluation2

Evaluation…

  • Some statistics as a side-effect of processing


Evaluation3

Evaluation…


Evaluation4

Evaluation…

  • Distribution of similarity measures

    • for True Positive Mappings and

    • for False Positive Mappings


Evaluation5

Evaluation…


Evaluation6

Evaluation…


Evaluation7

Evaluation…


Evaluation8

Evaluation…


Record it

Record it!


Outline2

Outline…

  • Introduction (ideas behind the track)

  • Evaluation

  • Discussion – interesting mappings


Discussion

Discussion

  • Focus on interesting mappings and unclear mappings

    • Why should they be mapped?

      • Arguments: against and for

    • Which systems discover them?

    • Differences in similarity measures

      • Underlying techniques?


Mapping 1

Mapping 1


Mapping 11

Mapping 1

Iasted

confious

sigkdd

sofsem

ekaw

confOf

PCS


Mapping 2

Mapping 2


Mapping 3

Mapping 3


Mapping 4

Mapping 4


Mapping 41

Mapping 4

confOf

ekaw


Mapping 5

Mapping 5


Mapping 51

Mapping 5

ekaw

confious


Mapping 8

Mapping 8


Mapping 81

Mapping 8

OpenConf

cmt


Mapping 111

Mapping 11


Mapping 112

Mapping 11

ekaw

iasted

sigkdd

Location is domain of properties: locationOf

Location is range of properties: heldIn

iasted:Place is domain of properties: is_equipped_by

sigkdd:Place is range of properties: can_stay_in

Asserted conditions for iasted:Place


Mapping 12

Mapping 12


Consensus building workshop

  • Call for contribution to our dataset


Thank you for your participation

Thank you for your participation!


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