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- item-1 hasContent dhavalkumar-thakker.
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- item-2 hasContent fan-yang-turner.
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- item-3 hasContent lydia-lau.
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- item-4 hasContent vania-dimitrova.
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- 334 creator christian-meilicke.
- 334 creator heiner-stuckenschmidt.
- 334 type InProceedings.
- 334 label "Analyzing Mapping Extraction Approaches".
- 334 sameAs 334.
- 334 abstract "While lots of research in ontology matching is related to the issue of computing and refining similarity measures, only little attention has been paid to question how to extract the final alignment from a matrix of similarity values. In this paper we present a theoretical framework for describing extraction methods and argue that the quality of the final matching result is highly affected by the extraction method. Therefore, we discuss several extraction methods and apply them to some of the results submitted to the OAEI 2006. The results of our experimental study show that the proposed strategies differ with respect to precision and recall. In particular, theoretical considerations as well as emprirical results indicate that methods that additionally make use of information encoded in the ontologies result in better extractions compared to state of the art approaches.".
- 334 hasAuthorList authorList.
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- 334 title "Analyzing Mapping Extraction Approaches".
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- item-1 hasContent christian-meilicke.
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- item-2 hasContent heiner-stuckenschmidt.
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- 420 creator bo-hu.
- 420 type InProceedings.
- 420 label "Emerging Consensus in-situ".
- 420 sameAs 420.
- 420 abstract "Traditional ontology mapping techniques are not strictly applicable in a dynamic and distributed environment (e.g. P2P and pervasive computing) in which on-the-fly alignments are sought after. We propose an approach that collaborates the logic formalisms with collaboratively created web repositories. A logic conceptualisation based "signaturing" algorithm is to discover, from concept definitions, the "feature vectors" that uniquely identify concepts; web repositories are used to understand the implications of these features. Such a combination solidifies an on-demand and approximate mechanism that emerges a context-dependent and task-specific consensus among heterogeneous participants of an information exchange task.".
- 420 hasAuthorList authorList.
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- 420 title "Emerging Consensus in-situ".
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- item-1 hasContent bo-hu.
- 422 creator brigitte-safar.
- 422 type InProceedings.
- 422 label "Exploiting WordNet as Background Knowledge ".
- 422 sameAs 422.
- 422 abstract "A lot of alignment systems providing mappings between the concepts of two ontologies rely on an additional source, called background knowledge, represented most of the time by a third ontology. The objective is to complement others current matching techniques. In this paper, we present the difficulties encountered when using WordNet as background knowledge and we show how the TaxoMap system we implemented can avoid those difficulties.".
- 422 hasAuthorList authorList.
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- 422 title "Exploiting WordNet as Background Knowledge ".
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- item-1 hasContent brigitte-safar.
- 426 creator dieter-fensel.
- 426 creator francois-scharffe.
- 426 creator ying-ding.
- 426 type InProceedings.
- 426 label "Towards Correspondence Patterns for Ontology Mediation".
- 426 sameAs 426.
- 426 abstract "We introduce in this paper correspondence patterns as a tool to design ontology alignments. Based on existing research on patterns in the fields of software and ontology engineering, we define a pattern template and use it to develop a correspondence patterns library. This library is published in RDF following a structured vocabulary. It is meant to be used in ontology alignment systems, in order to support the user or improve matching algorithms to refine ontology alignments.".
- 426 hasAuthorList authorList.
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- 426 title "Towards Correspondence Patterns for Ontology Mediation".
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- item-1 hasContent francois-scharffe.
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- item-2 hasContent ying-ding.
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- item-3 hasContent dieter-fensel.
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- 434 creator joao-rocha.
- 434 creator nuno-bettencourt.
- 434 creator nuno-silva.
- 434 creator paulo-maio.
- 434 type InProceedings.
- 434 label "Evaluating a confidence value for ontology alignment".
- 434 sameAs 434.
- 434 abstract "Many methods for automatic and semi-automatic ontology alignment have been proposed, but they remain error prone and labor-intensive. This paper describes a novel generic process for evaluating the mappings' confidence value. This process uses rules extracted through inductive machine learning methods from the matching results proposed by others. Further, the precision and recall of the extracted rules are exploited in order to transform each rule into a mathematical formula that generates the mappings' confidence value. Mappings are then classified not as valid or invalid but through a quantitative confidence value that can be easily managed during the alignment process.".
- 434 hasAuthorList authorList.
- 434 isPartOf proceedings.
- 434 title "Evaluating a confidence value for ontology alignment".
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