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2014 | OriginalPaper | Chapter

UMP-ST Plug-in: Documenting, Maintaining and Evolving Probabilistic Ontologies Using UnBBayes Framework

Authors : Rommel N. Carvalho, Laécio L. dos Santos, Marcelo Ladeira, Henrique A. da Rocha, Gilson L. Mendes

Published in: Uncertainty Reasoning for the Semantic Web III

Publisher: Springer International Publishing

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Abstract

Several approaches have been proposed for dealing with uncertainty in the Semantic Web (SW). Although probabilistic ontologies (PO) is one of the most promising approach to model uncertainty in ontologies, no support has been offered to ontological engineers on how to create this more complex type of ontologies. This task has proven to be extremely difficult and hard, which motivated the creation of the Uncertainty Modeling Process for Semantic Technologies (UMP-ST), a process that guides users in modeling POs. This paper presents the UMP-ST plug-in, a tool that implements this process and shows how the plug-in, implemented in UnBBayes Framework, overcomes the main problems on modeling probabilistic ontologies: the complexity in creating; the difficulty in maintaining and evolving; and the lack of a centralized tool for documenting these ontologies. The probabilistic ontology for Procurement Fraud Detection and Prevention in Brazil is used to show how the UMP-ST plug-in overcomes these problems. This probabilistic ontology is a proof-of-concept use case created as part of a research project at the Brazilian Office of the Comptroller General (CGU). (A short version of this paper was presented on the URSW 2013 [3]).

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next chapter Computing Inferences for Relational Bayesian Networks Based on Constructs
Footnotes
1
PR-OWL requires a MEBN inference engine to process the additional syntax.
 
2
A plug-in descriptor file is both the main and the minimal content of a UnBBayes plug-in, thus one can create a plug-in composed only by a sole descriptor file.
 
5
An MVC design isolates logic and data from the user interface, by separating the components into three independent categories: Model (data and operations), View (user interface) and Controller (mostly, a mediator, scheduler, or moderator of other classes) [2].
 
6
Design patterns are a set of generic approaches aiming to avoid known problems in software engineering [12].
 
7
Due to space limitation, only part of the whole documentation is going to be presented in this paper. The focus will be on presenting several features available in the UMP-ST plug-in.
 
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Metadata
Title
UMP-ST Plug-in: Documenting, Maintaining and Evolving Probabilistic Ontologies Using UnBBayes Framework
Authors
Rommel N. Carvalho
Laécio L. dos Santos
Marcelo Ladeira
Henrique A. da Rocha
Gilson L. Mendes
Copyright Year
2014
Book
Uncertainty Reasoning for the Semantic Web III

Print ISBN: 978-3-319-13412-3

Electronic ISBN: 978-3-319-13413-0

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-13413-0_1

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