'Knowledge engineer' presentation slideshows

CHAPTER 11

CHAPTER 11. Knowledge Acquisition and Validation. Knowledge Acquisition and Validation. Knowledge Engineering. Knowledge Engineering. Art of bringing the principles and tools of AI research to bear on difficult applications problems requiring experts' knowledge for their solutions

1.09k views • 80 slides

Rule-based Knowledge (Expert) Systems

Rule-based Knowledge (Expert) Systems. eie426-knowledge-systems-0809.ppt. Contents. What is knowledge? Rules as a knowledge representation technique The main players in the development team Structure of a rule-based expert system Characteristics of an expert system

1.29k views • 72 slides

Exam 2 Review

Exam 2 Review. June 9, 2014. Info. Systems in Organizations Decision Making. IS & Hierarchical Organizational structure. 3. Administrative Information Systems. Transaction Processing Systems (TPS)

790 views • 69 slides

Knowledge Based Systems

735 views • 62 slides

Chapter 7: Introduction to Expert Systems

Chapter 7: Introduction to Expert Systems. Expert Systems: Principles. Objectives. Learn the meaning of an expert system Understand the problem domain and knowledge domain Learn the advantages of an expert system Understand the stages in the development of an expert system

721 views • 50 slides

Expert Systems

Expert Systems. Content. What is an Expert System? Characteristics of an Expert System. Classification of Expert Systems. Components of an Expert System. Advantages & Disadvantages of Expert Systems. Creating an Expert System. Content. What is an Expert System?

1.06k views • 46 slides

Collaborative Authoring of Decision Support Knowledge: A Demonstration

Collaborative Authoring of Decision Support Knowledge: A Demonstration. Tonya Hongsermeier, MD, MBA Corporate Manager, Clinical Informatics R&D, Partners HealthCare System Vipul Kashyap, PhD Senior Medical Informatician, Clinical Informatics R&D, Partners HealthCare System Robert Masson

623 views • 39 slides

Dr. John R. Jensen Department of Geography University of South Carolina Columbia, SC 29208

574 views • 39 slides

A New Content Processing Framework for Search Applications Iain Fletcher ifletcher@searchtechnologies.com

A New Content Processing Framework for Search Applications Iain Fletcher ifletcher@searchtechnologies.com. Agenda. Briefly About Search Technologies Key Issues for Enterprise Search A New Content Processing Framework for Search Applications How do we use it? What does it look like?

436 views • 34 slides

451 views • 34 slides

Knowledge-Based Systems

Knowledge-Based Systems. Rule-Based Expert Systems. Expert Systems One of the most successful applications of AI reasoning technique using facts and rules

771 views • 32 slides

Review For Exam 1

379 views • 31 slides

SCCS452: Introduction to Expert/ Knowledge-based Systems

451 views • 29 slides

Chapter 13 Artificial Intelligence and Expert Systems

Chapter 13 Artificial Intelligence and Expert Systems. Learning Objectives. List the basic concepts of artificial intelligence Give examples of how artificial intelligence technologies have been used in business and other fields

516 views • 27 slides

Artificial Intelligence Lecture No. 15

405 views • 26 slides

SEA Side Software Engineering Annotations

352 views • 24 slides

Application of Artificial Intelligence for the Development Africa

Application of Artificial Intelligence for the Development Africa. Dr Osei Adjei. Overview. What is Artificial Intelligence? AI applications Agriculture Other significant applications. AI paradigms Previous applications. Current Research and applications Conclusions Acknowledgements.

484 views • 20 slides

CS62S: Expert Systems

CS62S: Expert Systems. Based on: The Engineering of Knowledge-based Systems: Theory and Practice, A. J. Gonzalez and D. D. Dankel. Expert Systems Structure. Three perspectives: User Knowledge engineer Tool builder. User. Intelligent program User interface Problem specific database.

208 views • 14 slides

CS62S: Expert Systems

CS62S: Expert Systems. Knowledge acquisition and system implementation Based on Chap. 12: The Engineering of Knowledge-based Systems: Theory and Practice, A. J. Gonzalez and D. D. Dankel. Knowledge acquisition. Involves two parts: Knowledge elicitation, and Knowledge representation.

320 views • 8 slides

Are we comparing Dana & Fahiem or SHOP and TLPlan? (A Critique of Knowledge-based Planning Track at ICP)

155 views • 6 slides