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Contexts and context-awareness revisited from an intelligent environments perspective
Context is a useful concept somehow unconsciously used by humans in daily life problem-
solving. Recently, several subareas of computer science have been increasingly trying to …
solving. Recently, several subareas of computer science have been increasingly trying to …
[PDF][PDF] Entity Type Recognition-Dealing with the Diversity of Knowledge.
Semantic Heterogeneity is the problem which arises when multiple resources present
differences in how they represent the same real world phenomenon. In KR, an early …
differences in how they represent the same real world phenomenon. In KR, an early …
NoHR: An overview: Reasoning with ontologies and nonmonotonic rules
Abstract Description logic ontologies, such as ontologies written in OWL, and non-monotonic
rules, as known in Logic Programming, are two major approaches in Knowledge …
rules, as known in Logic Programming, are two major approaches in Knowledge …
Big-Thick Data generation via reference and personal context unification
Smart devices generate vast amounts of big data, mainly in the form of sensor data. While
allowing for the prediction of many aspects of human behaviour (eg, physical activities …
allowing for the prediction of many aspects of human behaviour (eg, physical activities …
On nested justification systems
Justification theory is a general framework for the definition of semantics of rule-based
languages that has a high explanatory potential. Nested justification systems, first introduced …
languages that has a high explanatory potential. Nested justification systems, first introduced …
Contelog: A declarative language for modeling and reasoning with contextual knowledge
A Alsaig, V Alagar, S Nematollaah - Knowledge-Based Systems, 2020 - Elsevier
Context-awareness is at the core of many modern-day applications in safety and secure-
critical domains. In existing context-aware systems knowledge and context are not formally …
critical domains. In existing context-aware systems knowledge and context are not formally …
Argumentation-based multi-agent distributed reasoning in dynamic and open environments
This work presents an approach for distributed and contextualized reasoning in multi-agent
systems, considering environments in which agents may have incomplete, uncertain and …
systems, considering environments in which agents may have incomplete, uncertain and …
On nested justification systems (full version)
Justification theory is a general framework for the definition of semantics of rule-based
languages that has a high explanatory potential. Nested justification systems, first introduced …
languages that has a high explanatory potential. Nested justification systems, first introduced …
Forgetting in answer set programming with anonymous cycles
It is now widely accepted that the operation of forgetting in the context of Answer Set
Programming [10, 18] is best characterized by the so-called strong persistence, a property …
Programming [10, 18] is best characterized by the so-called strong persistence, a property …
On combining ontologies and rules
Ontology languages, based on Description Logics, and nonmonotonic rule languages are
two major formalisms for the representation of expressive knowledge and reasoning with it …
two major formalisms for the representation of expressive knowledge and reasoning with it …