Advanced search
Start date
Betweenand


Soft Ontologies as Fuzzy RDF Statements

Full text
Author(s):
dos Reis, Julio Cesar ; Lombello, Luma Oliveira ; Bonacin, Rodrigo ; IEEE
Total Authors: 4
Document type: Journal article
Source: 2019 IEEE 28TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE); v. N/A, p. 6-pg., 2019-01-01.
Abstract

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)

FAPESP's process: 17/02325-5 - EvOLoD: linked data evolution on the Semantic Web
Grantee:Julio Cesar dos Reis
Support Opportunities: Research Grants - Young Investigators Grants
FAPESP's process: 15/16528-0 - Socio-enactive systems: investigating new dimensions in the design of interaction mediated by information and communication technologies
Grantee:Maria Cecilia Calani Baranauskas
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 18/06416-8 - Heterogeneous ontology networks
Grantee:Luma Oliveira Lombello
Support Opportunities: Scholarships in Brazil - Scientific Initiation