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Combining Ontology Mapping Methods Using Bayesian Networks Ontology Alignment Evaluation Initiative

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Title: Combining Ontology Mapping Methods Using Bayesian Networks Ontology Alignment Evaluation Initiative


1
Combining Ontology Mapping Methods Using Bayesian
NetworksOntology Alignment Evaluation Initiative
2006 - 'Conference' Track
  • Ondrej váb
  • Vojtech Svátek

2
Overview
  • Ontology Mapping
  • Combining Ontology Mapping Methods
  • Using Bayesian Networks
  • String distance metrics
  • Mapping patterns
  • OAEI
  • Our track conference domain
  • Evaluation

3
Ontology Mapping
Ontology Mapping discovering of Semantic
correspondencies (equivalence, subsumption)
4
Classification of ontology mapping techniques
5
Modelling of interdependencies (1)
  • Using Bayesian Networks
  • String distance metrics from SecondString library
    (mapping methods)
  • Training data, pairs of concepts from ontologies
    ekaw.owl a confOf.owl from OntoFarm collection
  • 798 pairs
  • Bayesian network
  • nodes mapping justification by each mapping
    method
  • Classification node align (true, false)

6
Modelling of interdependencies (2)
  • Two tested Bayesian Networks (two corresponding
    classifiers)
  • Naive Bayesian Structure
  • Probability distributions learned from data
  • Learned Bayesian Structure
  • Learned both CPT and structure

7
Evaluation of models
  • One-leave-out method (798x)
  • Evaluation precision, recall
  • Precision more important than recall
  • 32 (precision weight 0,6), 41 (0,8)
  • C Pa Rb, kde a, b jsou váhy
  • higher C, better classifier

8
73 precision, 60 recall, 88 accuracy
at 80 threshold
9
84 precision, 53 recall, 89 accuracy at
60 threshold
Align ci. CharJaccard, Monge-Elkan, Levenshtein
TFIDF, SmithWaterman, Jaccard, Jaro, SLIM
10
Evaluation (c Pa Rb)
BN 2
Naive bayes
Jaccard
11
Mapping patterns (1)
  • Capturing structures using mapping patterns
  • Mapping pattern between ontologies

12
Mapping patterns (2)
Mapping pattern
Part of Bayesian Network
13
Conclusions Future works
  • Combination of string-based methods is not
    promising
  • Implementation of low-level string based
    justifications of mapping suffix, prefix,
    identical names
  • Capturing context Employ methods working with
    structures of ontologies (graph-based), mapping
    patterns
  • Not only equivalence relations, but also
    discovery subsumption relations using
    linguistic sources, like WordNet

14
Ontology Alignment Evaluation Initiative 2006 -
'Conference' Track
15
OAEI 2006 at ISWC06
  • Evaluation initiative in Ontology matching
  • Since 2004
  • In 2006 OAEI workshop at Ontology matching
    workshop, ISWC
  • Four tracks (six data sets)
  • Benchmark (biblio),
  • Expressive ontologies anatomy (2 ontologies 10k
    classes), jobs (jobs and jobs seekers, real world
    case)
  • Directory (web sites directory) 4 thousand
    elementary test, Food data set SKOS thesaurus
    about food with other food ontologies

16
Conference track
  • Coordinated by UEP
  • Free exploration by participants within 10
    ontologies
  • Domain conference organisation
  • No a priori reference alignment
  • Participants 6 research groups

17
Ontologies in track
18
Participants (1)
  • Combination of methods lexicographic and
    contextual
  • ISLab
  • 11 matching approach
  • Linguistic technique - thesaurus of terms and
    weighted terminological relationships is
    exploited
  • Contextual technique - semantic relation in an
    ontology
  • RiMOM
  • Ontology alignment defined as a directional one
  • Matchers Name-based (also NLP methods),
    Instance-based, Description-based, Taxonomy
    context-based, Constraints-based
  • CtxMatch
  • DL formulas
  • Not only eq., also subsumption, disjointness,
    intersection

19
Participants (2)
  • COMA
  • Extension of COMA
  • Automs
  • Lexical matching method, LSI, structural matching
    algorithm
  • Falcon
  • elementary matchers string-based, graph-based

20
Evaluation (1)
  • Personal judgement of organisers
  • interesting individual correspondences (inverse
    compound names, eg. PC_Member Member_PC),
    synonyms
  • Mapping errors subsumption, inversion role,
    siblings, lexical confusion
  • Mapping between relation and class, eg.
    has_an_email and E-mail

21
Evaluation (2)
22
Evaluation (3)
  • Subsumption error
  • Author,Paper_Author
  • Conference_Trip, Conference_part
  • Inversion role error
  • abstract_of_paper,reviewerOfPaper error
  • Siblings
  • ProgramCommittee,Technical_commitee
  • Lexical confusion error
  • program,Program_chair
  • Relation Class mapping
  • has_enddate,Date
  • hasTitle,Title hasSurname,Surname

23
Evaluation (4)
24
Summary
  • How to evaluate this track?
  • Interesting mappings
  • Recall?
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