MML1017 | Descoperirea cunoştinţelor şi semantici Web |
Titularii de disciplina |
Lect. Dr. SACAREA Cristian, csacareamath.ubbcluj.ro |
Obiective |
• Prezentarea principalelor metode de Knowledge Representation si Processing, precum si de Knowledge Engineering.
• Descoperirea structurii formale a cunoasterii, derivarea de cunostinte. • Paradigma peisajului cognitiv. • Dezvoltarea capacitatilor de intelegere a problemelor care apar in procesul de formalizare a datelor. • Metode practice de reprezentare a cunostintelor cu ajutorul calculatorului. • facilitarea experientei practice in aplicarea tehnicilor de structurare grafica a reprezentarilor cognitive. • Metode de preprocesare a datelor, incluzand conceptul de Data Warehouse • Metode de invatare automata. |
Continutul |
• Introducere: Conceptual Knowledge Processing
• Conceptual Theory Building • Analiza Conceptuala Formala • Grafuri conceptuale • Familii de contexte • Ontologii • Knowledge Discovery si Data Mining • Knowledge Discovery in baze de date • Decision Trees • Retele neuronale • Reguli de asociere • Knowledge Representation • Semantic Web • Aplicatii |
Bibliografie |
1. M. Ester und J. Sander: Knowledge Discovery in Databases: Springer-Verlag, 2000.
2. U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurasamy: Advances in Knowledge Discovery and Data Mining. Cambridge , London . MIT Press, 1996. 3. Frank Vogt, Formal Concept Analysis with C++, Springer, 1996 4. Rokia Missaoui, Jürg Schmid, eds., Formal Concept Analysis, Springer LNAI 3874, 2006. 5. B. Ganter, R. Wille, Formal Concept Analysis, Mathematical Foundations, Springer 2000. 6. G. Antoniou, F. van Harmelen: A Semantic Web Primer. MIT Press, Cambridge 2004. 7. Online Course in Knowledge Representation using Conceptual Graphs, Aalborg University@s Department of Communication. 8. J. Sowa: Knowledge Representation, Logical, Philosophical, and Computational Foundations. Brooks/Cole, Pacific Grove 2000. |
Evaluare |
In timpul semestrului se realizeaza un proiect, cu ponderea de 50% din nota finala. Evaluarea se finalizeaza cu un examen scris, nota finala fiind media aritmetica a celor doua note (proiect si examen scris). |
Legaturi: | Syllabus-urile tuturor disciplinelor Versiunea in limba engleza a acestei discipline Versiunea in format rtf a acestei discipline |