F
Fabiano Duarte Beppler
Researcher at Pennsylvania State University
Publications - 7
Citations - 52
Fabiano Duarte Beppler is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Ontology (information science) & Foundational Model of Anatomy. The author has an hindex of 4, co-authored 7 publications receiving 51 citations. Previous affiliations of Fabiano Duarte Beppler include Universidade Federal de Santa Catarina.
Papers
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Proceedings ArticleDOI
SBI: a semantic framework to support business intelligence
Denilson Sell,Dhiogo Cardoso da Silva,Fabiano Duarte Beppler,Marcio Napoli,Fernando Benedet Ghisi,Roberto Carlos dos Santos Pacheco,José Leomar Todesco +6 more
TL;DR: A framework called SBI -- Semantic Business Intelligence is presented, in which ontologies are applied on the description of business rules and concepts in order to support semantic-analytical functionalities that extend traditional OLAP operations.
A Memória Organizacional no Contexto da Engenharia do Conhecimento
TL;DR: In this paper, a memoria organizacional pode ser definida as a sistema that armazena as experiencias vividas da organização.
Hermeneus: An Architecture for an Ontology-Enabled Information Retrieval
TL;DR: This paper created a framework that uses ontology to drive the process of engineering an IR system and develops a prototype that shows how a domain specialist with knowledge in the IR field can build anIR system with interac tive components.
Proceedings ArticleDOI
Knowledge retrieval in the anatomical domain
TL;DR: This work introduces an architecture aiming to support knowledge retrieval process from databases using annotated images in the anatomical domain based on the Foundational Model of Anatomy and the Unified Medical Language System, reference ontologies in the biomedical domain.
Journal ArticleDOI
Um modelo para a visualização do conhecimento baseado em arquétipos visuais
TL;DR: A model that aims to facilitate the visualization of the knowledge stored in digital repositories using visual archetypes, which contains visual representations of the real world that are known a priori by the target group and which have semantic structures for identifying the entities of the domain represented in each region.