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In a pervasive environment, it is essential for computing applications to be context-aware. However, one of the major challenges is the establishment of a generic and dynamic context model. Many different approaches to modeling the context exist, but an application- and domain-agnostic context model, that captures various types of context information and the dependencies between them, that could be...
Event as the unit of human knowledge, has attracted more and more attention and high regards from the academia. Events-based knowledge extraction and representation extend concept-based knowledge process techniques largely. In order to represent event-based knowledge, this paper extends existing web ontology language, OWL, by introducing some new constructors and axioms related to event features....
In this work, we present a proposal for characterizing the OWL ontologies available on the Web from a significant sample. We have conducted a study to review the specific characteristics of these ontologies paying attention to features which can be important from the point of view of the ontology alignment: language, sizes, number, and kind of entities that are represented in them. As a result, we...
With increasing popularity of ontologies in various communities, visualizations of their content and structure became more and more important. In the past few years a number of visualization approaches were developed with the focus either on the representation of the relationships between classes or on the hierarchical structure and instances. However for several applications, a visualization which...
Ontology Matching (OM) consists of set of processes that decide and establish if ontology elements share lexical or semantic relationships. For a correct alignment, when we establish semantic relationships, it is necessary to find out the meaning of the elements that depends on the context. In this paper, we propose an extension of OWL called OWL-M to improve the representation of multiple types of...
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