Leveraging the impact of ontology evolution on semantic annotations

Silvio Domingos Cardoso 1, 2 Cédric Pruski 1 Marcos Da Silveira 1 Lin Ying-Chi 3 Gross Anika 3 Rahm Erhard 3 Chantal Reynaud-Delaître 2
1 LIST - Luxembourg Institute of Science and Technology
2 LaHDAK - LRI - Données et Connaissances Massives et Hétérogènes (LRI)
LRI - Laboratoire de Recherche en Informatique
3 Computer Science Institute, University of Leipzig
Abstract : This paper deals with the problem of maintenance of semantic annotations produced based on domain ontologies. Many annotated texts have been produced and made available to end-users. If not reviewed regularly, the quality of these annotations tends to decrease over time due to the evolution of the domain ontologies. The quality of these annotations is critical for tools that exploit them (e.g., search engines and decision support systems) and need to ensure an acceptable level of performance. Although the recent advances for ontology-based annotation systems to annotate new documents, the maintenance of existing annotations remains under studied. In this work we present an analysis of the impact of ontology evolution on existing annotations. To do so, we used two well-known annotators to generate more than 66 million annotations from a pre-selected set of 5000 biomedical journal articles and standard ontologies covering a period ranging from 2004 to 2016. We highlight the correlation between changes in the ontologies and changes in the annotations and we discuss the necessity to improve existing annotation formalisms in order to include elements required to support (semi-) automatic annotation maintenance mechanisms.
Keywords : Ontology Evolution Semantic Annotations Life Sciences
Type de document :
Communication dans un congrès
Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW , Nov 2016, Bologna, Italy. Lecture Notes in Computer Science 10024, 2016
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https://hal.inria.fr/hal-01480971
Contributeur : Chantal Reynaud <>
Soumis le : jeudi 2 mars 2017 - 08:04:45
Dernière modification le : samedi 24 novembre 2018 - 14:04:23

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  • HAL Id : hal-01480971, version 1

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LRI-LAHDAK | UMR8623 | INRIA | CENTRALESUPELEC | UNIV-PARIS-SACLAY

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Silvio Domingos Cardoso, Cédric Pruski, Marcos Da Silveira, Lin Ying-Chi, Gross Anika, et al.. Leveraging the impact of ontology evolution on semantic annotations. Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW , Nov 2016, Bologna, Italy. Lecture Notes in Computer Science 10024, 2016. 〈hal-01480971〉

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