'Knowledge engineering' diaporamas de présentation

Knowledge Engineering

Knowledge Engineering. ???????? ?????? http://www.um.ac.ir/~kahani/. What is knowledge engineering?. The process of building intelligent knowledge based systems is called knowledge engineering. The process of knowledge engineering. Phase 1: Problem assessment.

1.05k views • 69 slides

Knowledge Representation

Knowledge Representation. Knowledge engineering: principles and pitfalls Ontologies Examples. Knowledge Engineer. Populates KB with facts and relations Must study and understand domain to pick important objects and relationships Main steps: Decide what to talk about

659 views • 54 slides

DT22 8 /3

DT22 8 /3. Software and Knowledge Engineering Lecturer: Deirdre Lawless. Data... is raw. simply exists and has no significance beyond its existence (in and of itself). Information data that has been given meaning by way of relational connection.

843 views • 45 slides

Top Level Ontologies Ontologies and Ontology Engineering

562 views • 33 slides

Abstraction Strata in Software Design

Abstraction Strata in Software Design. Amnon H. Eden Department of Computer Science, University of Essex Center for Enquiry, Amherst, New York SEUJP-FC, May 21, 2004. Contents. Abstractions Programming principles Architectural styles Design patterns The Local/Intensional hierarchy

602 views • 31 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

438 views • 27 slides

HLTHINFO 730 Healthcare Decision Support Systems Lecture 5: Production Rule Systems

384 views • 22 slides

Knowledge Representation using First-Order Logic (Part II)

Knowledge Representation using First-Order Logic (Part II). Reading: Chapter 8, 9.1-9.2 First lecture slides read: 8.1-8.2 Second lecture slides read: 8.3-8.4 Third lecture slides read: Chapter 9.1-9.2 (lecture slides spread across two class sessions)

320 views • 22 slides

Business process ontology

Business process ontology. Amina ANNANE, Nathalie AUSSENAC, Mouna Kamel. AVIREX Project. The goal of AVIREX project is to design and implement a virtual assistant that will: Monitor operators in the execution of business processes step-by-step

419 views • 21 slides

University of Economics, Prague

University of Economics, Prague. MLNET related activities of Laboratory for Intelligent Systems and Dept. of Information and Knowledge Engineering http://lisp.vse.cz/~berka/MLNet.html. Research. probabilistic methods - decomposable probability models and bayesian networks

329 views • 20 slides

Business Architecture and Business-Driven Development

Knowledge-Based System Course TUE. Business Architecture and Business-Driven Development. Leo Hermans (l.hermans@everest.nl) Principal All-Round IT-Business Architect. Outline. Everest BV (www.everest.nl) Business Process Management (BPM) BPM in Practice

417 views • 20 slides

First-Order Logic

First-Order Logic. Chapter 8 Modified by Vali Derhami. Outline. Why FOL? Syntax and semantics of FOL Using FOL Wumpus world in FOL Knowledge engineering in FOL. propositional logic. Propositional logic is declarative ( (??????

293 views • 19 slides

Knowledge Formulation for AI Planning

Knowledge Formulation for AI Planning. Lee McCluskey Ron Simpson Artform research group Department of Computing and Mathematical Sciences, The University of Huddersfield. Artform. Contents. Background + Problems in KE for AI Planning Automated acquisition by generic object patterns

259 views • 18 slides

Artificial Intelligence

Artificial Intelligence. Lecture 2. Knowledge. Knowledge is the collection of facts and principles accumulated by human. Knowledge can be language, concepts, procedures, rules, ideas, abstractions, places , customs, and so on. study of knowledge is called Epistemology.

549 views • 17 slides

HYGIA

HYGIA. Design and Application of new Artificial Intelligence techniques to the acquisition and use of medical knowledge represented as care pathways. Outline.

258 views • 13 slides

AMKM

AMKM. Agent-Mediated Knowledge Management AAAI Spring Symposium 2003 Organized by Ludger van Elst, Virginia Dignum, Andreas Abecker Presented by Adam Pease, Teknowledge. AMKM. Belief: Agent technology can aid in knowledge management

278 views • 10 slides

BIRN Knowledge Engineering Working Group

BIRN Knowledge Engineering Working Group. Chair: Gully APC Burns. Core Capabilities. Knowledge Representation and Reasoning Services within BIRN specifically geared towards applications Development of a knowledge engineering application development framework

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Analysing system-user cooperation in KADS

182 views • 9 slides

Knowledge Engineering

486 views • 6 slides

Pendulum Swings in AI

Pendulum Swings in AI. Top-down vs. Bottom-up Ground vs. Lifted representation The longer I live the farther down the Chomsky Hierarchy I seem to fall [Fernando Pereira] Pure Inference and Pure Learning vs. Interleaved inference and learning Knowledge Engineering vs. Model Learning

159 views • 3 slides