Abstract

In recent decades, ubiquitous and pervasive computing has been used to increase people's knowledge awareness in a variety of contexts in healthcare, education, agriculture, and so on. However, these computing systems have significant shortcomings in terms of supporting knowledge sharing, reasoning, machine readability, and sufficient controls over how information about individuals is used and shared with others. Ontology is a semantic web technology that provides a sophisticated knowledge framework for users and systems to share knowledge, represent knowledge, and achieve interoperability and machine readability. This paper discussed linguistic interpretation that may allow more adaptive and optimized solutions for knowledge sharing between domain ontologies, which is required for better communication in pervasive and ubiquitous computing.

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