PR-OWL: A Bayesian ontology language for the semantic web

PCG Da Costa, KB Laskey, KJ Laskey - International Workshop on …, 2005 - Springer
This paper addresses a major weakness of current technologies for the Semantic Web,
namely the lack of a principled means to represent and reason about uncertainty. This not …

Knowrob-map-knowledge-linked semantic object maps

M Tenorth, L Kunze, D Jain… - 2010 10th IEEE-RAS …, 2010 - ieeexplore.ieee.org
Autonomous household robots are supposed to accomplish complex tasks like cleaning the
dishes which involve both navigation and manipulation within the environment. For …

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 …

UnBBayes: modeling uncertainty for plausible reasoning in the semantic web

R Carvalho, KB Laskey, P Costa, M Ladeira… - Semantic …, 2010 - books.google.com
The Semantic Web (SW), like the document web that preceded it, is based on radical notions
of information sharing. These ideas [Allemang & Hendler, 2008] include:(i) the Anyone can …

Probabilistic ontologies for knowledge fusion

KB Laskey, PCG Costa… - 2008 11th international …, 2008 - ieeexplore.ieee.org
To cope with asymmetric threats in an increasingly network centric environment, todaypsilas
command support systems must interoperate with a diverse collection of other systems. As a …

Multi-entity bayesian networks learning for predictive situation awareness

CY Park - 2017 - search.proquest.com
Over the past few 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 …

A Bayesian Approach to Constructing Probabilistic Models from Knowledge Graphs.

H Freedman, J Metzger… - … Journal of Semantic …, 2024 - search.ebscohost.com
Making predictions bounded by uncertainty is a crucial component of modern decision
support systems. Knowledge graphs provide a structured, semantic-oriented approach to …

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 …

Predictive situation awareness reference model using multi-entity bayesian networks

CY Park, KB Laskey, PCG Costa… - … on Information Fusion …, 2014 - ieeexplore.ieee.org
Predictive Situation Awareness (PSAW) emphasizes the ability to make predictions about
aspects of a temporally evolving situation. Higher-level fusion to support PSAW requires a …

[PDF][PDF] PROGNOS: applying probabilistic ontologies to distributed predictive situation assessment in naval operations

PCG Costa, KB Laskey, K Chang - Proceedings of the 14th ICCRTS, 2009 - academia.edu
Abstract Achieving agile Command and Control in Maritime Operations requires
composeability-the ability to construct responses “on the fly” to queries about a given …