Ontology Summit 2017 communiqué – AI, learning, reasoning and ontologies-Reference-Cited by-同舟云学术

Ontology Summit 2017 communiqué – AI, learning, reasoning and ontologies

Published:2018-02-20 Issue:1 Volume:13 Page:3-18
ISSN:1875-8533
Container-title:Applied Ontology
language:
Short-container-title:AO

Author:

Baclawski Kenneth¹,Bennett Mike²,Berg-Cross Gary³,Fritzsche Donna⁴,Schneider Todd⁵,Sharma Ravi⁶,Sriram Ram D.⁷,Westerinen Andrea⁸

Affiliation:

1. Northeastern University, Boston, MA, USA

2. Hypercube Limited, London, UK

3. RDA US Advisory Group, Troy, NY, USA

4. Hummingbird Design, Chicago, IL, USA

5. Engineering Semantics, Fairfax, VA, USA

6. Senior Enterprise Architect, Elk Grove, CA, USA

7. National Institute of Standards & Technology, Gaithersburg, MD, USA

8. Nine Points Solutions, Potomac, MD, USA

Publisher

IOS Press

Subject

Linguistics and Language,Language and Linguistics,General Computer Science

Reference55 articles.

1. Aasman, J. (2017). Cognitive probability graphs need an ontology. In Ontology Summit 2017: AI, Learning, Reasoning, and Ontologies. Retrieved July 19, 2017 from http://bit.ly/2xOVeOM.

2. Meaning and Cognition

3. Anderson, J. & Lebiere, C. (1998). The Atomic Components of Thought. Hillsdale, NJ: Lawrence Erlbaum Associates.

4. Baclawski, K. (2017). Combining ontologies and machine learning to improve decision making. In Ontology Summit 2017: AI, Learning, Reasoning, and Ontologies. Retrieved July 19, 2017 from http://bit.ly/2xPz8M8.

5. Baclawski, K., Chan, E., Gawlick, D., Ghoneimy, A., Gross, K., Liu, Z. & Zhang, X. (2017). Framework for ontology-driven decision making. Applied Ontology.

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