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Ontology-based semantic annotation: an automatic hybrid rule-based method

Abstract : In the perspective of annotating a text with respect to an ontology, we have partici-pated in the subtask 1 of the BB BioNLP-ST whose aim is to detect, in the text, Bacteria Habitats and associate to them one or several categories from the Onto-Biotope ontology provided for the task. We have used a rule-based machine learn-ing algorithm (WHISK) combined with a rule-based automatic ontology projection method and a rote learning technique. The combination of these three sources of rules leads to good results with a SER measure close to the winner and a best F-measure.
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https://hal.archives-ouvertes.fr/hal-01074936
Contributor : Laurent Audibert <>
Submitted on : Thursday, October 16, 2014 - 9:37:32 AM
Last modification on : Monday, February 1, 2021 - 3:22:02 PM
Long-term archiving on: : Saturday, January 17, 2015 - 10:16:35 AM

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  • HAL Id : hal-01074936, version 1

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Sondes Bannour, Laurent Audibert, Henry Soldano. Ontology-based semantic annotation: an automatic hybrid rule-based method. ACL 2013, Aug 2013, Sofia, Bulgaria. pp.139 - 143. ⟨hal-01074936⟩

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