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Pertemuan 11 Akuisisi Pengetahuan

Pertemuan 11 Akuisisi Pengetahuan. Matakuliah : H0383/Sistem Berbasis Pengetahuan Tahun : 2005 Versi : 1/0. Learning Outcomes. Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu : Menjelaskan prinsip akuisisi Pengetahuan pada expert systems. Outline Materi. Pengertian Metode

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Pertemuan 11 Akuisisi Pengetahuan

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  1. Pertemuan 11Akuisisi Pengetahuan Matakuliah : H0383/Sistem Berbasis Pengetahuan Tahun : 2005 Versi : 1/0

  2. Learning Outcomes Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu : • Menjelaskan prinsip akuisisi Pengetahuan pada expert systems

  3. Outline Materi • Pengertian • Metode • Knowledge Engineering

  4. Pengertian • Sistem menyerap Pengetahuan dari Knowledge Engineer melalui representasi pengetahuan. • Pengetahuan diserap oleh Knowledge Engineer dari sumber Pengetahuan melalui proses yg biasa disebut Knowledge Acquisition

  5. Pengertian • Source of Knowledge: documented and undocumented • Level of knowledge: shallow(surface) and deep • Categories of Knowledge: Declarative, procedural, semantic, episodic, metaknowledge

  6. Difficulties of acquisition • Expressing the knowledge • Transfer to machine • Number of participants • Structuring knowledge • Other factors • Expert unwilling / not time to corporate • Testing and refining is complicated • Tendency to collect from one source • Preference to documented knowledge • Interpersonal communication between expert and engineer • Inconstantly expert knowledge

  7. Skill of KL Engineer • Computer skills • Tolerance • Effective communication abilities, diplomacy • Broad education • Advanced, socially sophisticated verbal skill • Fast learning capabilities • Understanding of org and individual • Intelligence • Empathy and patience • Persistence • Logical thinking • Self confidence

  8. Process of knowledge acquisition (Hayes-Roth)  • Identification (output: requirement) • Conceptualization : Find concept to represent knowledge (output:concept) • Formalization: Design structure to organize knowledge (output: structure) • Implementation: Formulate rule(frame, etc) (output:Rules) • Testing: validate rule that organize knowledge

  9. Methods of acquisition: • Interview: structured and unstructured(informal) • Tracking method: protocol analysis • Observation • Expert driven • Repertory Grid analysis • Induction • Documented acquisition

  10. Measure of validation: • Accuracy : How well the system reflect the reality • Adaptability: possibility for future development/ change • Completeness: Portion of necessary knowledge that • Is included in the knowledge base. • Breadth: how well the domain is covered. • Depth: degree of detail knowledge • Reliability • Robustness • Sensitivity: impact of change in knowledge base on quality of output

  11. Penutup • Tugas seorang Knowledge Engineer adalah mengambil intisari knowledge dari sumbernya. • Sumber terbagi dua yaitu documented (buku, tulisan dll) dan undocumented (domain experts) • Knowledge Engineer harus dapat menterjemahkan Pengetahuan tsb. ke dalam sistem berbasis Pengetahuan

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