Differences

This shows you the differences between two versions of the page.

--- courses:hcai:lab_krr [2026/11/01 21:44] – [Before the lab] kkt
+++ courses:hcai:lab_krr [2026/11/02 09:48] (current) – [Learn more!] kkt
@@ Line 15: / Line 15: @@
 ==== Q&A ====
-  - FIXME
+  - A museum stores each artwork as one text description. What questions become difficult to answer?
+  - Two artworks were created by the same person. Should the creator's name be copied into both records?
+  - If every painting is a cultural object, must we record both categories for every painting?
+  - Should a museum knowledge model contain every known fact about an artwork?
 ==== Notebook ====
@@ Line 27: / Line 30: @@
 Work in groups of **2-4** to **curate a small digital exhibition** using cultural heritage data from **Wikidata**.
-Choose your own theme and audience, then adapt the SPARQL templates from the FIXME **__starter notebook__** to find suitable objects. Your query should use at least **two meaningful relationships**, such as: <code>artwork -> creator -> place of birth
+Choose your own theme and audience, then adapt the SPARQL templates from the **__[[https://colab.research.google.com/drive/1aCoLzRA_AH9XWdQuhjbfiG58MJWJu6j7?usp=sharing|STARTER NOTEBOOK]]__** to find suitable objects. Your query should use at least **two meaningful relationships**, such as: <code>artwork -> creator -> place of birth
 artwork -> collection -> museum location
 artwork -> depicts -> person or place</code>
@@ Line 38: / Line 41: @@
 ==== Learn more! ====
-  * FIXME
+  * {{https://protege.stanford.edu/publications/ontology_development/ontology101.pdf|Ontology Development 101}} -- A practical guide to defining scope, classes, properties, hierarchies, and competency questions
+  * [[https://protege.stanford.edu/|Protégé]] -- A free ontology editor for modelling classes, relationships, individuals, and logical constraints.
+  * [[https://www.w3.org/TR/owl2-primer/|OWL 2 Primer]] -- An accessible introduction to more expressive ontology modelling and automated inference.
+  * {{https://www.media.mit.edu/publications/bttj/Paper23Pages211-226.pdf|ConceptNet}} -- A large semantic network representing everyday knowledge used in commonsense reasoning.
+  * [[https://doi.org/10.18653/v1/2021.conll-1.38|Commonsense knowledge in ConceptNet and word associations]] -- A research perspective on how different graph-based resources represent implicit everyday knowledge.
+  * [[https://obofoundry.org/|OBO Foundry]] -- A collection of interoperable ontologies used across biology, medicine, and scientific data integration.
+  * [[https://saref.etsi.org/|SAREF]] -- Ontologies for connecting smart devices, sensors, measurements, buildings, energy systems, and IoT services.
+  * [[https://docs.cloud.google.com/enterprise-knowledge-graph/docs/overview|Google Enterprise Knowledge Graph]] -- See how organizations reconcile entities and connect information stored across heterogeneous data sources.