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--- didattica:ay2425:kebi:main [2025/05/03 18:36] – [Recordings] knut
+++ didattica:ay2425:kebi:main [2025/05/27 07:47] (current) – [Study material] e.laurenzi
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     * Slides: {{ :didattica:ay2425:kebi:ke-08_combining_machine_learning_and_knowledge_engineering.pdf |Combining Machine Learning and Knowledge Engineering}}
     * Assignment: {{ :didattica:ay2425:kebi:assignment_health_insurance_knowledge.pdf |Health Insurance: Combining Learning with Knowledge Engineering}}
+  * Lecture “Knowledge Graphs”
+    * Slides: {{ :didattica:ay2425:kebi:kebi_knowledge_graphs.pdf |Knowledge Graphs - Trends, Benefits, RDF and SPARQL}}
+    * Slides: {{ :didattica:ay2425:kebi:kebi_knowledge_graphs_-_2nd_part_rdf_s_.pdf |Knowledge Graphs - RDF(S) and Reasoning}}
+    * Download: [[https://www.ontotext.com/products/graphdb/ | Graph Database GraphDB]]
+    * Class exercise: {{:didattica:ay2425:kebi:kg_exercises_and_solutions.zip | Querying the KG family tree trhough SPARQL}}
+    * Class exercise: {{ :didattica:ay2425:kebi:kebi_schema_inferences_students_exercise.pdf | Reasoning with RDF(S)}}
+    * Optional exercise: {{ :didattica:ay2223:kebi:ke-7-1-exercise-rdf-graph.pdf |RDF Graphs}} and {{ :didattica:ay2223:kebi:ke-7-1-exercise-rdf-graph_solution.pdf |Solution}}
+    * Optional exercise: {{ :didattica:ay2223:kebi:ke-7-2-exercise-rdf-schema.pdf |RDF Schema}} and {{ :didattica:ay2223:kebi:ke-7-2-exercise-rdf-schema_solution.pdf |Solution}}
+    * Optional exercise: {{ :didattica:ay2223:kebi:ke-7-3-exercise-rdfs-inferences.pdf |RDF Schema Inferences}} and {{ :didattica:ay2223:kebi:ke-7-3-exercise-rdfs-inferences_solution.pdf |Solution}}
+  * Lecture “Ontology Engineering”
+    * Slides: {{ :didattica:ay2425:kebi:kebi_ontology_engineering.pdf |Ontology Engineering}}
+    * Class exercise {{ :didattica:ay2425:kebi:exercise_on_ontology_development_101.docx | Develop an ontology for Courses and Lecturers}} and {{ :didattica:ay2425:kebi:ontology_msc_bis_homework_solution_.zip | A solution}}
+    * 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)]]
+    * Solution: {{:didattica:ay2425:kebi:ontology_msc_bis_homework_solution_.zip | A solution MSc BIS ontology}}
+  * Lecture “Machine Reasoning”
+    * Slides: {{ :didattica:ay2425:kebi:kebi_machine_reasoning.pdf | Machine Reasoning }}
+    * Class hands-on: {{ :didattica:ay2425:kebi:family_tree_with_schema_for_showcasing_rules_with_sparql_in_slides_for_protege.zip | Family tree TTL file for hands-on with CONSTRUCT SPARQL}}
+    * Class exercise {{ :didattica:ay2425:kebi:family_tree_with_contradiction_protege.zip | Protégé File: Family Tree with Contradictions}} and {{:didattica:ay2425:kebi:possible_solutions_for_contradiction_exercise.pdf | possible solutions}}
+    * Class exercise {{ :didattica:ay2425:kebi:shacl_class_exercise_and_solution.pdf | Exercise and solution}} and {{:didattica:ay2425:kebi:shacl_constraint_-_no_more_than_2_parents.zip | the SHACL constraint "no more than 2 parents"}}
+    * Homework {{ :didattica:ay2425:kebi:homework_shacl.pdf | Create SHACL constraints for the MSc BIS ontology }}
+  * Lecture “Convergence of Knowledge Graph and Enterprise Modelling”
+    * Slides: {{ :didattica:ay2425:kebi:kebi_convergenge_of_ontologies_and_enterprise_modelling.pdf | Convergence of Knowledge Graph and Enterprise Modelling}}
+    * Slides: {{ {{ :didattica:ay2425:kebi:kebi_semantic_lifting.pdf | Semantic Lifting}}
+    * Download link: [[https://drive.google.com/file/d/1ZImYKymOB-oaPasdjh7OKJjozWF78G7k/view?usp=sharing | ADOxx-based Modelling Tool BeeUp]]
+    * Class exercise: {{ :didattica:ay2425:kebi:models_in_beeup.zip | ADL file (models) for BeeUp }} and {{ :didattica:ay2425:kebi:ontology_-_class_exercise_-_semantic_lifting.zip | generated TTL file}}
+    * Homework: {{ :didattica:ay2425:kebi:kebi_solution_class_exercise_query_to_ontology_models_created_from_beeup_.pdf | Homework and solution }}
+  * Lecture “Ontology-based Meta Modelling”
+    * Slides: {{ :didattica:ay2425:kebi:kebi_ontology-based_meta-modelling.pdf | Ontology-based Meta Modelling}}
+    * Link to local installation of AOAME: [[https://github.com/BPaaSModelling/AOAME_Local_Installation| Guide for local installation AOAME]]
+    * Class exercise {{ :didattica:ay2425:kebi:1.1_walkthrough_on_ontology-based_modelling_in_aoame.pdf | Walkthrough in AOAME_Part 1}} and {{ :didattica:ay2425:kebi:2.1_walkthrough_and_query_creation_for_agile_metamodelling_in_aoame.pdf | Walkthrough in AOAME_Part 2}}
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   * [[https://unicam.webex.com/unicam/ldr.php?RCID=a811fa5f03016a0bcff4aac7e614335b | 28th of April 2025: Fuzzy]]
   * [[https://unicam.webex.com/unicam/ldr.php?RCID=b207511157461a43f63daf322d14ff90| 29th of April 2025: Learning]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=859f5b5df2da277c7ef3489214f6283a| 5th of May 2025: Knowledge Graphs]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=0aa7bf0585051393c7046dd323254629| 6th of May 2025: RDFS Reasoning and Ontology Engineering]]
+  * [[https://unicam.webex.com/unicam/ldr.php?RCID=98f160ab97ff6278fd0f509c827e7c28| 19th of May 2025: Machine Reasoning]]
 </WRAP>