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Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. First Edition (Advanced Information and Knowledge Processing)
 
 
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Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. First Edition (Advanced Information and Knowledge Processing) (Hardcover)
by Asuncion Gomez-Perez (Author), Oscar Corcho (Author), Mariano Fernandez-Lopez (Author) "Ontologies are widely used in Knowledge Engineering, Artificial Intelligence and Computer Science, in applications related to knowledge management, natural language processing, e-commerce, intelligent integration information,..." (more)
Key Phrases: travel ontology, heavyweight ontologies, hoc binary relations, Ontolingua Server, Frame Ontology, American Airlines (more...)
  3.5 out of 5 stars 6 customer reviews (6 customer reviews)  

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Editorial Reviews
Book Description
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.

From the Author
We strongly recommend this book for anyone who wants to have the most updated state of the art on Ontological Engineering, covering also the practical aspects of selecting and applying methodologies, languages, and tools for building ontologies. This book is recommended for researchers, postgraduates, practitioners, libraries, institutions, industry, scientists, students

See all Editorial Reviews

Product Details
  • Hardcover: 415 pages
  • Publisher: Springer; 1st ed. 2004. 2nd printing edition (July 22, 2004)
  • Language: English
  • ISBN-10: 1852335513
  • ISBN-13: 978-1852335519
  • Product Dimensions: 9.1 x 6.4 x 1.3 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 3.5 out of 5 stars 6 customer reviews (6 customer reviews)
  • Amazon.com Sales Rank: #192,669 in Books (See Bestsellers in Books)

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    #2 in  Books > Computers & Internet > Computer Science > Artificial Intelligence > Knowledge-Based Computing
    #9 in  Books > Computers & Internet > Computer Science > Artificial Intelligence > Expert Systems

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Inside This Book (learn more)
First Sentence:
Ontologies are widely used in Knowledge Engineering, Artificial Intelligence and Computer Science, in applications related to knowledge management, natural language processing, e-commerce, intelligent integration information, information retrieval, database design and integration, bio-informatics, education, and in new emerging fields like the Semantic Web. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
travel ontology, heavyweight ontologies, hoc binary relations, ontology learning methods, rdf rest, supplies identity criterion, underlying knowledge model, ontology merge, primitive daml, units ontology, ontology life cycle, ontology development tools, ontology development process, binary relation diagrams, informal competency questions, ontology edition, backbone taxonomy, higher arity relations, traveling domain, primitive owl, ontology editor, implementing ontologies, ontology alignment, ontology markup languages, circularity errors
Key Phrases - Capitalized Phrases (CAPs): (