Ontology Engineering

Author:   Elisa F. Kendall ,  Deborah L. McGuinness ,  Ying Ding ,  Paul Groth
Publisher:   Morgan & Claypool Publishers
ISBN:  

9781681733081


Pages:   120
Publication Date:   30 April 2019
Format:   Paperback
Availability:   In stock   Availability explained
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Ontology Engineering


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Author:   Elisa F. Kendall ,  Deborah L. McGuinness ,  Ying Ding ,  Paul Groth
Publisher:   Morgan & Claypool Publishers
Imprint:   Morgan & Claypool Publishers
ISBN:  

9781681733081


ISBN 10:   1681733080
Pages:   120
Publication Date:   30 April 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Foreword: Dean Allemang Foreword: Richard Mark Soley, Ph.D. Preface Foundations Before You Begin Requirements and Use Cases Terminology Conceptual Modeling Conclusion Bibliography Author's Biographies

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Author Information

Elisa F. Kendall is a Partner in Thematix Partners LLC and graduate-level lecturer in computer science, focused on data management, data governance, knowledge representation, and decisioning systems. Her consulting practice includes business and information architecture, knowledge representation strategies, and ontology design, development, and training for clients in financial services, government, manufacturing, media, pharmaceutical, and retail domains. Recent projects have focused on use of ontologies to drive natural language processing, machine learning, interoperability, and other knowledge graph-based applications. Elisa represents knowledge representation, ontology, information architecture, and data management concerns on the Object Management Group (OMG)'s Architecture Board, is co-editor of the Ontology Definition Metamodel (ODM), and a contributor to a number of other ISO, W3C, and OMG standards, including the Financial Industry Business Ontology (FIBO) effort. Prior to joining Thematix, she was the founder and CEO of Sandpiper Software, an early entrant in the Semantic Web domain. Earlier in her career, she was software development manager for Aspect Development, and before that a ground systems data processing engineer for Lockheed Martin. She holds a B.S. in Mathematics and Computer Science from UCLA, and an A.M in Linguistics from Stanford University. Deborah L. McGuinness is the Tetherless World Senior Constellation Chair and Professor of Computer, Cognitive, and Web Sciences at RPI. She is also the founding director of the Web Science Research Center and the CEO of McGuinness Associates Consulting. Deborah has been recognized with awards as a fellow of the American Association for the Advancement of Science (AAAS) for contributions to the Semantic Web, knowledge representation, and reasoning environments and as the recipient of the Robert Engelmore award from the Association for the Advancement of Artificial Intelligence (AAAI) for leadership in Semantic Web research and in bridging Artificial Intelligence (AI) and eScience, significant contributions to deployed AI applications, and extensive service to the AI community. Deborah leads a number of large diverse data intensive resource efforts and her team is creating next-generation ontology-enabled research infrastructure for work in large interdisciplinary settings. Prior to joining RPI, Deborah was the acting director of the Knowledge Systems, Artificial Intelligence Laboratory, and Senior Research Scientist in the Computer Science Department of Stanford University, and previous to that she was at AT&T Bell Laboratories. Deborah consults with numerous large corporations as well as emerging startup companies wishing to plan, develop, deploy, and maintain Semantic Web and/or AI applications. Some areas of recent work include: data science, next-generation health advisors, ontology design and evolution environments, semantically enabled virtual observatories, semantic integration of scientific data, context-aware mobile applications, search, eCommerce, configuration, and supply chain management. Deborah holds a Bachelor of Math and Computer Science from Duke University, a Master of Computer Science from University of California at Berkeley, and a Ph.D. in Computer Science from Rutgers University.|Indiana University.

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