A semantic-based approach to content abstraction and annotation for content management
Expert Systems with Applications: An International Journal
Building a global normalized ontology for integrating geographic data sources
Computers & Geosciences
A meta-model of business interaction for assisting intelligent workflow systems
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
OntoFIS as a NLP resource in the drug-therapy domain: design issues and solutions applied
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Designing an intelligent ontological system for traffic light control in isolated intersections
Engineering Applications of Artificial Intelligence
OntoMetaWorkflow: an ontology for representing data and users in workflows
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Towards user modeling meta-ontology
UM'05 Proceedings of the 10th international conference on User Modeling
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Expert Systems with Applications: An International Journal
Advanced Engineering Informatics
Bat-MP: an ontology-based energy management platform
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
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Ontologies provide a common vocabulary of an area and define - with different levels of formality - the meaning of the terms and the relationships between them. Ontologies may be reused and shared across applications and groups Concepts in the ontology are usually organized in taxonomies and relations between concepts, properties of concepts, and axioms are typically used for representing the knowledge contained in ontologies. With the growth of information available, e.g. on the WWW, they are popularly applied in knowledge management, semantic web, natural language generation, enterprise modelling, knowledge-based systems, ontology-based brokers, e-commerce platforms and interoperability between systems. This book looks at questions such as: * What is an ontology? * What are the uses of ontologies? * What types of ontologies exist? What are the most well-known ones? * How do I select the best ontology for my application? * What are the principles for building an ontology? * What methodologies should I use to build my own ontology? Which techniques are appropriate for each step? * How do software tools support the process of building and using ontologies? * What language can I use to implement ontologies? * How can I integrate ontologies in a given language? The book presents the theoretical foundations of ontological engineering and covers the practical aspects of selecting and applying methodologies, tools and languages for building ontologies. The applications of ontologies are also illustrated with case studies taken from the areas of knowledge management, e-commerce and the semantic web.