Matches in ScholarlyData for { ?s ?p ?o. }
- 22 abstract "The paper presents an overview of a novel procedure formapping hierarchical ontologies, populated with properly classified textdocuments. It combines structural and instance-based approaches to reducethe terminological and conceptual ontology heterogeneity. It yieldsimportant granularity and instantiation judgments about the inputs andis to be applied to mapping web-directories.".
- 22 hasAuthorList authorList.
- 22 isPartOf proceedings.
- 22 title "Ontology mapping via structural and instance-based similarity measures".
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- item-1 hasContent konstantin-todorov.
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- item-2 hasContent peter-geibel.
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- 23 creator christian-meilicke.
- 23 creator heiner-stuckenschmidt.
- 23 creator ondrej-svab.
- 23 creator vojtech-svatek.
- 23 type InProceedings.
- 23 label "Testing the impact of pattern-based ontology refactoring on ontology matching results".
- 23 sameAs 23.
- 23 abstract "We observe the impact of ontology refactoring, based on detectionof name patterns in the ontology structure, on the results of ontology matching.Results of our experiment are evaluated using novel logic-based measures accompaniedby an analysis of typical effects. Although the pattern detection methodonly covers a fraction of ontological errors, there seems to be a measurable effecton the quality of the resulting matching.".
- 23 hasAuthorList authorList.
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- 23 title "Testing the impact of pattern-based ontology refactoring on ontology matching results".
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- item-1 hasContent ondrej-svab.
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- item-2 hasContent vojtech-svatek.
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- item-3 hasContent christian-meilicke.
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- item-4 hasContent heiner-stuckenschmidt.
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- 24 creator guus-schreiber.
- 24 creator hap-kolb.
- 24 creator willem-van-hage.
- 24 type InProceedings.
- 24 label "Relevance-based evaluation of alignment approaches: the OAEI 2007 food task revisited".
- 24 sameAs 24.
- 24 abstract "Current state-of-the-art ontology-alignment evaluation methods arebased on the assumption that alignment relations come in two flavors: correctand incorrect. Some alignment systems find more correct mappings than othersand hence, by this assumption, they perform better. In practical applications however,it does not only matter how many correct mappings you find, but also whichcorrect mappings you find. This means that, apart from correctness, relevanceshould also be included in the evaluation procedure. In this paper we expand thesample-based evaluation of the OAEI 2007 food task with a sample evaluationthat uses relevance to prototypical search tasks as a selection criterion for thedrawing of sample mappings.".
- 24 hasAuthorList authorList.
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- 24 title "Relevance-based evaluation of alignment approaches: the OAEI 2007 food task revisited".
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- item-1 hasContent willem-van-hage.
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- 25 creator david-macii.
- 25 creator fabio-andreatta.
- 25 creator ivan-pilati.
- 25 creator luca-mion.
- 25 type InProceedings.
- 25 label "Matching ontologies for emergency evacuation plans".
- 25 sameAs 25.
- 25 abstract "In case of emergency, the coordination of different servicesdeals with different working methods, different languages, different instruments, different sensors and different data representations. Thus,the coordination of services includes heterogeneity problems that canbe managed with the help of ontology matching techniques. In this paper we present a scenario where the requirements for ontology matchingarise from emergency evacuation plans, in the specific domain of civilprotection applications. We envisage what kind of smart sensor technologies could be used to support critical decisions when heterogeneoussources of information have to be matched.".
- 25 hasAuthorList authorList.
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- 25 title "Matching ontologies for emergency evacuation plans".
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- item-1 hasContent luca-mion.
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