Resumo
Semantic annotations are sets of labels that help structure the information available in web documents, making it easier for machines to interpret this information automatically. While previous works have explored the (semi-) automatic maintenance of these semantic annotations in relation to ontology-level changes, this work will focus on the effects of instance-level changes, specifically regarding annotations in RDF format. Given a set of annotations affected by an instance-level change, a classification-based approach will be used in order to determine which out of all possible update operations is most appropriate for each annotation, thus keeping the information system consistent and up-to-date.
Referências
Christen, V.; Lin, Y. C.; Groß, A.; Cardoso, S. D.; Pruski, C.; Silveira, M.; Rahm, E.; A learning-based approach to combine medical annotation results. International Conference on Data Integration in the Life Sciences. 2018. 135143.
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