Soft Ontologies as Fuzzy RDF Statements

Autor(es)

dos Reis, Julio Cesar ; Lombello, Luma Oliveira ; Bonacin, Rodrigo ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2019 IEEE 28TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE); v. N/A, p. 6-pg., 2019-01-01.

Resumo

Soft ontologies enable knowledge representation in a flexible way because they are more susceptible to changes in their interrelationships over time. The transformation of a non-standardized model of information into a computer-interpretable representation is not an easy task. Our investigation expands the concept of soft ontologies to fuzzy data represented as fuzzy RDF triples. In this paper, we elaborate a process that transforms a soft ontology implemented in the form of a matrix of probabilities into a fuzzy RDF dataset. The study presents the way the matrix of probabilities are used in the representation and how the data elements are triplified exploring fuzzy characteristics. We apply the proposal in an experimental scenario, by constructing a soft ontology which expresses a repertoire of actions in an mBot robot. Then, the facts are triplified to fuzzy RDF statements. Our results present original aspects related to the transformation of soft ontologies to fuzzy RDF triples. (AU)

• Processo FAPESP: 17/02325-5 - EvOLoD: evolução de dados interconectados na Web Semântica
• Beneficiário: Julio Cesar dos Reis
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores
• Processo FAPESP: 15/16528-0 - Sistemas sócio-enativos: investigando novas dimensões no design da interação mediada por tecnologias de informação e comunicação
• Beneficiário: Maria Cecilia Calani Baranauskas
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/06416-8 - Redes de ontologias heterogêneas
• Beneficiário: Luma Oliveira Lombello
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica