Ontology lexicalization: Relationship between content and meaning in the context of Information Retrieval1

• Autor(a) principal: Schiessl, Marcelo
• Data de Publicação: 2017
• Outros Autores: Bräscher, Marisa
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Transinformação (Online)
• Texto Completo: https://periodicos.puc-campinas.edu.br/transinfo/article/view/5980

The proposal presented in this study seeks to properly represent natural language to ontologies and vice-versa. Therefore, thesemi-automatic creation of a lexical databasein Brazilian Portuguese containing morphological, syntactic, and semantic informationthat can be read by machines was proposed, allowing the link between structured and unstructured data and its integration intoan information retrieval model to improve precision. The results obtained demonstrated that the methodology can be used in therisco financeiro (financial risk) domain in Portuguese for the construction of an ontology and the lexical-semantic database andthe proposal of a semantic information retrieval model. In order to evaluate the performance of the proposed model, documentscontaining the main definitions of the financial risk domain were selected and indexed with and without semantic annotation. Toenable the comparison between the approaches, two databases were created based on the texts with the semantic annotationsto represent the semantic search. The first one represents the traditional search and the second contained the index built based onthe texts with the semantic annotations to represent the semantic search. The evaluation of the proposal was based on recall andprecision. The queries submitted to the model showed that the semantic search outperforms the traditional search and validatesthe methodology used. Although more complex, the procedure proposed can be used in all kinds of domains.