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--- didattica:ay2122:ke:main [2022/05/23 20:13] – [Study material] knut
+++ didattica:ay2122:ke:main [2022/08/17 11:18] – [News] knut
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 **Dear students,**\\
-Please download and install the [[https://protege.stanford.edu/ | Protege ontology editor]] before the lecture on Monday, 9th of May.
+If you do not want to accept your grade in Knowledge Engineering, you can improve the project and add a graphical modeling language for meals using ADOxx. Holger and I will offer a coaching session about this improvement on
+  * Friday, 2nd of September, at 10:00 am online: [[https://unicam.webex.com/meet/knut.hinkelmann]]
+In the beginning we will provide general information about what we expect. Then we will make individual coachings with each team.
+Best regards,
+Holger and Knut
-The lecture on Monday 9th of May, will be online [[https://unicam.webex.com/meet/knut.hinkelmann]]\\
-Best regards\\
-Knut
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       * Example: {{ :didattica:ay2122:ke:ke2022.zip |Ontology for university teaching to open in Protege}}
     * Exercise: {{ :didattica:ay2122:ke:exercise_-_business_process_ontology.pdf |Business Process Ontology}}
-      * {{ :didattica:magistrale:kebi:ay_2021:2021-05-11_bpm.zip |University and Business Process Ontologies to open in Protege (preliminary version from 11 May 2021)}}
+      * {{ :didattica:ay2122:ke:bpm_and_university_ontologies.zip |University and Business Process Ontologies to open in Protege}}
+    * {{ :didattica:ay2122:ke:prolog_and_ontologies.pdf |Representing the knowledge in Prolog and RDFS}}
     * Literature: Noy, N. F., & McGuinness, D. L. (2001). [[http://protege.stanford.edu/publications/ontology_development/ontology101.pdf | Ontology development 101: A guide to creating your first ontology.]] Stanford Knowledge Systems Laboratory Technical Report KSL-01-05.
     * Download: [[https://protege.stanford.edu/ |Protege: Desktop Version (Platform independent or Windows)]]
@@ Line 154: / Line 159: @@
       * Data/Ontologies: https://aoame-fuseki.herokuapp.com/dataset.html
       * Modeling Environment: https://aoame.herokuapp.com/modeller
+      * Beta Version:
+        * Modeling Environment: http://aoame-webapp-test123.herokuapp.com/modeller
+        * Data/Ontologies: https://aoame-fuseki-test123.herokuapp.com/
+  * Lecture "Machine Learning"
+    * Slides: {{ :didattica:ay2122:ke:ke-11-1_machine_learning.pdf |Introduction to Machine Learning}}
+    * Slides:  {{ :didattica:ay2122:ke:ke-11-2_learning_decision_trees.pdf |Symbolic Machine Learning: Learning Decision Trees}}
+    * Reading Material:  {{ :didattica:ay2122:ke:decision_tree_learning_lecture.pdf |Decision Tree Learning}}
+    * Exercise: {{ :didattica:ay2122:ke:exercise_learning_carsales.pdf |Auto Traders}}
+    * Exercise: {{ :didattica:ay2122:ke:exercise_health_insurance_learning.pdf |Health Insurance: Learning Risk Assessment}}
+    * Tool: {{ :didattica:ay2122:ke:weka_introduction.pdf |WEKA Learning Environment}}
+    * Data Sets: {{ :didattica:ay2122:ke:datasets.zip |playing tennis, creditworthyness (CSV Files), car sales and Health Insurance (ARFF and Excel file)}}
+  * Lecture "Neural Networks"
+    * Slides: {{ :didattica:ay2122:ke:ke-12_neural_networks.pdf |Neural Networks}}
+  * Lecture "Combining Machine Learning and Knowledge Engineering"
+    * Slides: {{ :didattica:ay2122:ke:ke-13_combining_machine_learning_and_knowledge_engineering.pdf |Combining Machine Learning and Knowledge Engineering}}
+    * Example: {{ :didattica:ay2122:ke:example_machine_learning_and_knowledge.pdf |Machine Learning and Knowledge}}
+    * Assignment  with Solution: {{ :didattica:ay2122:ke:assignment_health_insurance_knowledge_with_solution.pdf |Health Insurance: Combining Learning with Knowledge Engineering}}
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 Recordings of the lectures are password protected (passwords on request from the lecturers)
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=c9b4ed77cb0c6e0a48a49d18b653297b | 7th of March: Introduction: What is knowledge]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=c9b4ed77cb0c6e0a48a49d18b653297b | 7th of March 2022: Introduction: What is knowledge]]
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=6e00f6a3a20a6b9329bcfd19a75cc9db | 8th of March: Knowledge in Processes, Decision Modeling, Decision Trees]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=6e00f6a3a20a6b9329bcfd19a75cc9db | 8th of March 2022: Knowledge in Processes, Decision Modeling, Decision Trees]]
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=a02cfc6beb0cf65ffe31265f3530e35a | 21st of March: Rule-Based Systems (Modelling)]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=a02cfc6beb0cf65ffe31265f3530e35a | 21st of March 2022: Rule-Based Systems (Modelling)]]
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=3554faaada88d36f3373b7d9d27725e1 | 22st of March: Rule-Based Systems (Reasoning)]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=3554faaada88d36f3373b7d9d27725e1 | 22st of March 2022: Rule-Based Systems (Reasoning)]]
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=ae99f92587d0cae30f9e5f7d5f504eee | 4th of April: Fuzzy Logic]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=ae99f92587d0cae30f9e5f7d5f504eee | 4th of April 2022: Fuzzy Logic]]
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=de34aaf46e4a15c649f62953a351633b | 5th of April: Fuzzy Controller]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=de34aaf46e4a15c649f62953a351633b | 5th of April 2022: Fuzzy Controller]]
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=16bbb64a5e5274a1621534e588b31899 | 26th of April: Knowledge Nets and RDF]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=16bbb64a5e5274a1621534e588b31899 | 26th of April 2022: Knowledge Nets and RDF]]
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=8e2378034b9b0fa5ef35209eef591762 | 9th of May: Ontology Engineering]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=8e2378034b9b0fa5ef35209eef591762 | 9th of May 2022: Ontology Engineering]]
-  * [[https://unicam.webex.com/unicam/ldr.php?RCID=db5acff66cdcd23e79126013eead50dc | 23rd of May: Conceptual Modelling]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=db5acff66cdcd23e79126013eead50dc | 23rd of May 2022: Conceptual Modelling]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=c427e2fdd1a30426e8bfddb3dcb49bf6 | 24th of May 2022: Ontology-based Modelling]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=73600d05b8cbc4c0a0f7f5684df9db7a | 30th of May 2022: Machine Learning: Learning Decision Trees]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=8896cf7d81580f92a106d88fed48efad | 31st of May 2022: Neural Networks; Combining Machine Learning and Knowledge Engineering]]
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