Knowledge based engineering


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Knowledge based engineering

  1. 1. SCHOOL OF COMPUTER SCIENCE & IT- DAVV, INDORE Presentation on knowledge based engineeringPresented to: Presented by:Prof. Ugrasen Suman Aditya Trivedi M.Tech.-I sem
  2. 2. Goal:The main goal of this presentation is to understand: Knowledge Knowledge based engineering Principles of knowledge engineering Views of knowledge engineering Trends in Knowledge Engineering Frameworks for knowledge based systems commanKADS framework References
  3. 3. What is knowledge?Plato:-“justified true belief”Knowledge is a familiarity with someone or something, which can include information, facts, descriptions, and/or skills acquired through experience or education. DATA INFORMATION KNOWLEDGE
  4. 4. Knowledge engineering:Knowledge engineering (KE) was defined in 1983 by Edward Feigenbaum, and Pamela McCorduck as follows:KE is an engineering discipline that involves integrating knowledge into computer systems in order to solve complex problems normally requiring a high level of human expertise.
  5. 5. Knowledge engineering for Knowledge basedsystems:Various activities of KE specific for the development of a knowledge- based system: Assessment of the problem Development of a knowledge-based system shell/structure Acquisition and structuring of the related information, knowledge and specific preferences (IPK model) Implementation of the structured knowledge into knowledge bases Testing and validation of the inserted knowledge Integration and maintenance of the system Revision and evaluation of the system.
  6. 6. Knowledge engineering principles: There are different: ◦ types of knowledge each requiring its own approach and technique. ◦ types of experts and expertise, such that methods should be chosen appropriately. ◦ ways of representing knowledge, which can aid the acquisition, validation and re- use of knowledge. ◦ ways of using knowledge, so that the acquisition process can be guided by the project aims (goal-oriented). Structured methods increase the efficiency of the acquisition process. Knowledge Engineering is the process of eliciting Knowledge for any purpose be it Expert system or AI development
  7. 7. Views of knowledge engineering:There are two main views to knowledge engineering: Transfer View Modelling View
  8. 8. Overview of Trends in Knowledge Engineering: The paradigm Shift from a transfer view to a modelling view The evolving of Role Limiting methods and Generic Tasks The usage of Modelling Frameworks The influence of Ontology
  9. 9. Modelling frameworks for knowledge basedsystems: commonKDAS MIKE(Model-based and incremental knowledge Engineering) PROTÉGÉ-II
  10. 10. What is CommonKADS? CommonKADS is the leading methodology to support structured knowledge engineering. enables to spot the opportunities and bottlenecks in how organizations develop, distribute and apply their knowledge resources, and so gives tools for corporate knowledge management. provides the methods to perform a detailed analysis of knowledge- intensive tasks and processes. supports the development of knowledge systems that support selected parts of the business process.
  11. 11. CommonKADS model suite:
  12. 12. References: Book by Schreiber et al “Knowledge Engineering and Management” published by University press.
  13. 13. Thank you..!! Queries??