PR-OWL: A Bayesian ontology language for the semantic web
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 …
namely the lack of a principled means to represent and reason about uncertainty. This not …
Knowrob-map-knowledge-linked semantic object maps
Autonomous household robots are supposed to accomplish complex tasks like cleaning the
dishes which involve both navigation and manipulation within the environment. For …
dishes which involve both navigation and manipulation within the environment. For …
Probabilistic ontology and knowledge fusion for procurement fraud detection in Brazil
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 …
Office of the Comptroller General (CGU) has carried out a number of actions, including …
UnBBayes: modeling uncertainty for plausible reasoning in the semantic web
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 …
of information sharing. These ideas [Allemang & Hendler, 2008] include:(i) the Anyone can …
Probabilistic ontologies for knowledge fusion
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 …
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 …
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.
Making predictions bounded by uncertainty is a crucial component of modern decision
support systems. Knowledge graphs provide a structured, semantic-oriented approach to …
support systems. Knowledge graphs provide a structured, semantic-oriented approach to …
Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness
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 …
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
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 …
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
Abstract Achieving agile Command and Control in Maritime Operations requires
composeability-the ability to construct responses “on the fly” to queries about a given …
composeability-the ability to construct responses “on the fly” to queries about a given …