2013 - AAAI Robert S. Engelmore Memorial Lecture Award For leadership in semantic web research and in bridging AI and eScience, significant contributions to deployed AI applications, and extensive service to the AI community.
2013 - Fellow of the American Association for the Advancement of Science (AAAS)
Her scientific interests lie mostly in World Wide Web, Semantic Web, Ontology, OWL-S and Semantic Web Stack. Deborah L. McGuinness works mostly in the field of World Wide Web, limiting it down to topics relating to Information retrieval and, in certain cases, Data model, as a part of the same area of interest. Deborah L. McGuinness has researched Semantic Web in several fields, including Data manipulation language, Description logic and Open government.
Her research on Ontology focuses in particular on Process ontology. Her Semantic Web Stack study combines topics from a wide range of disciplines, such as Web standards, Social Semantic Web and Data Web. The various areas that Deborah L. McGuinness examines in her Ontology language study include Theoretical computer science, Field, F-logic, Resource and Data science.
Deborah L. McGuinness spends much of her time researching World Wide Web, Data science, Semantic Web, Ontology and Information retrieval. Deborah L. McGuinness interconnects Semantic technology, RDF and Knowledge representation and reasoning in the investigation of issues within Data science. Her study in Knowledge representation and reasoning is interdisciplinary in nature, drawing from both Theoretical computer science and Knowledge base.
Deborah L. McGuinness works in the field of Semantic Web, namely OWL-S. Her biological study spans a wide range of topics, including Upper ontology and Process ontology. The concepts of her Ontology study are interwoven with issues in Ontology, Resource and Domain.
Deborah L. McGuinness focuses on Ontology, Data science, Information retrieval, Artificial intelligence and World Wide Web. Her Ontology research integrates issues from Ontology, RDF, Semantic Web and Human–computer interaction. The study incorporates disciplines such as Question answering and Knowledge representation and reasoning in addition to Semantic Web.
Her research on Data science also deals with topics like
Deborah L. McGuinness mainly focuses on Data science, Ontology, Set, Autism spectrum disorder and Artificial intelligence. Her Data science research is multidisciplinary, incorporating perspectives in Identification, Lifestyle factors, Population health and Association. Her studies in Ontology integrate themes in fields like Knowledge integration and Representation.
Deborah L. McGuinness combines subjects such as Variable, Machine learning, Biological network and Natural language processing with her study of Artificial intelligence. Her Semantics study frequently intersects with other fields, such as World Wide Web. Her study ties her expertise on Ontology-based data integration together with the subject of World Wide Web.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Ontology Development 101: A Guide to Creating Your First Ontology
Natalya F. Noy;Deborah L. McGuinness.
(2002)
OWL Web ontology language overview
D. L. Mcguinness.
W3C Recommendation (2004)
The Description Logic Handbook: Theory, Implementation and Applications
Franz Baader;Diego Calvanese;Deborah L. McGuinness;Daniele Nardi.
Kybernetes (2003)
The Description Logic Handbook
Franz Baader;Diego Calvanese;Deborah L. McGuinness;Daniele Nardi.
(2007)
OIL: an ontology infrastructure for the Semantic Web
D. Fensel;F. van Harmelen;I. Horrocks;D.L. McGuinness.
IEEE Intelligent Systems (2001)
Bringing semantics to web services: the OWL-S approach
David Martin;Massimo Paolucci;Sheila McIlraith;Mark Burstein.
international semantic web conference (2004)
CLASSIC: a structural data model for objects
Alexander Borgida;Ronald J. Brachman;Deborah L. McGuinness;Lori Alperin Resnick.
international conference on management of data (1989)
An environment for merging and testing large ontologies
Deborah L. McGuinness;Richard Fikes;James Rice;Steve Wilder.
principles of knowledge representation and reasoning (2000)
Living wiht Classic: When and How to Use a KL-ONE-Like Language.
Ronald J. Brachman;Deborah L. McGuinness;Peter F. Patel-Schneider;Lori Alperin Resnick.
Principles of Semantic Networks (1991)
Web Ontology Language
DL McGuinness;Frank van Harmelen.
W3C Recommendation. (2004)
Profile was last updated on December 6th, 2021.
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