Evaluation of Extraction Techniques for Ontology Excerpts

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Evaluation of Extraction Techniques for Ontology Excerpts

Jieying ChenJieying Chen,  Michel LudwigMichel Ludwig,  Yue MaYue Ma,  Dirk WaltherDirk Walther
Jieying Chen, Michel Ludwig, Yue Ma, Dirk Walther
Evaluation of Extraction Techniques for Ontology Excerpts
In Meghyn Bienvenu and Magdalena Ortiz and Riccardo Rosati and Mantas Simkus, eds., Proceedings of the 27th International Workshop on Description Logics (DL'14), volume 1193 of CEUR Workshop Proceedings, 471-482, 2014
  • KurzfassungAbstract
    We introduce the notion of an ontology excerpt as being a fixed-size subset of an ontology that preserves as much knowledge as possible about the terms in a given vocabulary as described in the ontology. We consider different extraction techniques for ontology excerpts based on methods from Information Retrieval. To evaluate these techniques, we measure the degree of incompleteness of the resulting excerpts using the notion of logical difference. We provide an experimental evaluation of the extraction techniques by applying them on the biomedical ontology SNOMED CT.
  • Forschungsgruppe:Research Group: Automatentheorie
@inproceedings{ ChLuMaWa-DL14,
  author = {Jieying {Chen} and Michel {Ludwig} and Yue {Ma} and Dirk {Walther}},
  booktitle = {Proceedings of the 27th International Workshop on Description Logics ({DL'14})},
  editor = {Meghyn {Bienvenu} and Magdalena {Ortiz} and Riccardo {Rosati} and Mantas {Simkus}},
  pages = {471--482},
  series = {CEUR Workshop Proceedings},
  title = {Evaluation of Extraction Techniques for Ontology Excerpts},
  volume = {1193},
  year = {2014},
}