Representasi Pengetahuan – Knowledge Representation
Deskripsi Mata Kuliah – Course Description:
Matakuliah ini mengenalkan konsep-konsep representasi pengetahuan, desain dan implementasinya dalam ontology, serta peranannya pada sistem cerdas. Bahasan mencakup: Logika klasik dalam first order logic dan penalarannya, description logic, rekayasa ontology, evaluasi dan query ontology, kombinasi logika dengan probabilitas, dan aplikasi representasi pengetahuan dan penalaran.
This course is to provide an introduction to knowledge representation and reasoning, which is one of the fundamental areas in artificial intelligence.The course begins with a review of first order logic and resoning/inference. The main concepts students will learn in this course are description logic and its representation in ontology in OWL. Ontology evaluation and query are also introduced to give students knowledge about processes to have valid ontologies and information retrieval from ontologies. Finally, logic and probability will be introduced to give students a view how the concepts of knowledge representation and reasoning can be combined with the concepts of probability in intelligent systems.
Pustaka – Bibliography:
Utama:
1. Catatan kuliah (lecture notes) Representasi Pengetahuan
Pendukung:
1. Stuart Russel and Peter Norvig, Artificial Intelligence: A Modern Approach
(4th edition), Prentice Hall, 2020.
2. Franz Baader, Diego Calvanese, Deborah L. McGuinness, Daniele Nardi,
Peter F. Patel-Schneider, The Description Logics Handbook: Theory,
Implementation and Application, Cambridge University Press, 2010.
3. Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph, Foundations of
Semantic Web Technologie, Chapman and Hall/CRC, 2009.
