[PDF][PDF] Collaboro: a collaborative (meta) modeling tool

JLC Izquierdo, J Cabot - PeerJ Computer Science, 2016 - peerj.com
Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

An ontology-based methodology for hazard identification and causation analysis

A Aziz, S Ahmed, FI Khan - Process Safety and Environmental Protection, 2019 - Elsevier
This article presents a dynamic hazard identification methodology founded on an ontology-
based knowledge modeling framework coupled with probabilistic assessment. The objective …

Prediction for manufacturing factors in a steel plate rolling smart factory using data clustering-based machine learning

CY Park, JW Kim, B Kim, J Lee - IEEE Access, 2020 - ieeexplore.ieee.org
A Steel Plate Rolling Mill (SPM) is a milling machine that uses rollers to press hot slab inputs
to produce ferrous or non-ferrous metal plates. To produce high-quality steel plates, it is …

PR-OWL–a language for defining probabilistic ontologies

RN Carvalho, KB Laskey, PCG Costa - International Journal of …, 2017 - Elsevier
Recent years have witnessed an increasingly mature body of research on the Semantic Web
(SW), with new standards being developed and more complex problems being addressed …

Remote intervention assistance system for a person in difficulty based on probabilistic ontologies

A Gueddes, MA Mahjoub - Expert Systems with Applications, 2024 - Elsevier
The proposed theme of this paper is to develop a system for remote intervention assistance
with a person in difficulty, which is becoming increasingly important as the world's …

Probabilistic ontology and knowledge fusion for procurement fraud detection in Brazil

RN Carvalho, S Matsumoto, KB Laskey… - … Reasoning for the …, 2013 - Springer
To cope with citizens' demand for transparency and corruption prevention, the Brazilian
Office of the Comptroller General (CGU) has carried out a number of actions, including …

Risk-based inspection model for hot mix asphalt pavement construction projects

M Mohamed, DQ Tran - Journal of Construction Engineering and …, 2021 - ascelibrary.org
Hot mix asphalt (HMA) is a critical component in highway construction projects. There is a
lack of studies that have investigated the causal relationship between inspection activities …

Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework

S Matsumoto, JF Ferrari, HJ Yoon… - 2023 26th …, 2023 - ieeexplore.ieee.org
Subjective Bayesian networks (SBN) combine Bayesian Networks (BN) with Subjective
Logic in order to express the second-order uncertainty (ie, the uncertainty about a probability …

Forecasting software indicators: an industry-academia collaboration

C Ayala, C Gómez, M Manzano, A Abherve… - Empirical Software …, 2024 - Springer
Context Nowadays software-development organizations are urged to exploit their data for
empowering their decision-making processes. Such data may be used to monitor the status …

Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness

CY Park, KB Laskey, PCG Costa… - Proceedings of the …, 2013 - ieeexplore.ieee.org
Over the past two decades, machine learning has led to substantial changes in Data Fusion
Systems throughout the world. One of the most important application areas for data fusion is …