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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The use of ontologies for data representation is a broad research line within artificial intelligence. Ontologies are used to represent knowledge so that it can be interpreted by computer systems. The applications of ontologies are varied, ranging from the representation of data for the semantic web, expert systems and others. This book initially explains the most common methodologies for the development of ontologies, ranging from the simple methodology, through the Skeletal, until reaching the NeON, each has its own characteristics that make it useful depending on the problem to be modeled and the adoption of the knowledge engineer. Next, a semantic representation model is proposed to describe a university environment, then an ontology is built in Protege. Finally, Java and Apache Jena are used to execute desktop queries and web services.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The use of ontologies for data representation is a broad research line within artificial intelligence. Ontologies are used to represent knowledge so that it can be interpreted by computer systems. The applications of ontologies are varied, ranging from the representation of data for the semantic web, expert systems and others. This book initially explains the most common methodologies for the development of ontologies, ranging from the simple methodology, through the Skeletal, until reaching the NeON, each has its own characteristics that make it useful depending on the problem to be modeled and the adoption of the knowledge engineer. Next, a semantic representation model is proposed to describe a university environment, then an ontology is built in Protege. Finally, Java and Apache Jena are used to execute desktop queries and web services.