Update sldt2024.md

Author: pbonte

_events/sldt2024.md

@@ -25,33 +25,28 @@ The tutorial will include several examples and exercises built around a relevant
 ## Program
 The tutorial will take place on **Monday, November 11th** from 2pm till 5.40pm.
 
-1. **Streaming Linked Data: An Introduction** [15m] [**slides**](https://drive.google.com/file/d/1ox6Sm33ReryhA4yhcO5y9K_zQPcskdsx/view?usp=drive_link)
+1. **Streaming Linked Data: An Introduction**  [**slides**](https://drive.google.com/file/d/1CkFRk7NN-QrVkSbPGK26GRF584aLjHR9/view?usp=drive_link)
     1. The Stream Reasoning research question
     2. Taming data variety and velocity on the web
     3. Use-cases & applications
-2. **Background on Streaming Data** [25m] [**slides**](https://drive.google.com/file/d/1g3PVV-18YEU4Xknb7bpjbm-4vxfsZJeu/view?usp=drive_link)
-    1. Stream Processing 101
-        1. Paradigm shift to continuous semantics 
-        2. Stream processing languages and architectures 
-        3. Streaming Machine Learning
-3. **The Streaming Linked Data Lifecycle Part 1** [60m] [**slides**](https://drive.google.com/file/d/1cyzBH8n4dTy_gZCswvbndRKaNVcY_RPB/view?usp=drive_link)
+2. **The Streaming Linked Data Lifecycle Part 1**  [**slides**](https://drive.google.com/file/d/1cyzBH8n4dTy_gZCswvbndRKaNVcY_RPB/view?usp=drive_link)
     1. Naming and modelling: an introduction to ontology modelling for SLD
     2. Shaping and annotating web streams (briefly)
     3. Exercise 1: Modeling web stream processing services with VoCaLS
-
-4. **COFFEE BREAK** [20m] 
-  
-5. **The Streaming Linked Data Lifecycle Part 2** [30m] [**slides**](https://drive.google.com/file/d/1cyzBH8n4dTy_gZCswvbndRKaNVcY_RPB/view?usp=drive_link)
-    1. Describing and serving streams on the web
+    4.  Describing and serving streams on the web
         1. Streams on the Web: publication challenges
         2. A vocabularies and tools for publishing web streams
         3. Demo 1: Converting Wikimedia Changes with [*RSP4J*](https://github.com/streamreasoning/RSP4J)
-6. **Querying and processing Linked Streams** [45m] [**slides**](https://drive.google.com/file/d/1my2vrfrrKfpn5AvbSriO3KLkwY_2IrId/view?usp=drive_link)
-    1. RSP-QL and RSP Dialects
-    2. Demo 2: representative RSP dialects and engines: [*C-SPARQL*](https://github.com/streamreasoning/CSPARQL-engine)
-    3. Exercise 2: Building an SLD Application with [*RSP4J*](https://github.com/streamreasoning/RSP4J)
-    4. Exercise 3: Fast Prototyping with [*RSP4J*](https://github.com/streamreasoning/RSP4J)
-7. **Wrap-up and discussion** [15m] [**slides**](https://drive.google.com/file/d/1IWp5_6auJ8MJSJF3XZZuj9I3DlafxCbG/view?usp=drive_link)
+
+4. **COFFEE BREAK** [20m] 
+  
+5. **The Streaming Linked Data Lifecycle Part 2: Querying and processing Linked Streams**  [**slides**](https://drive.google.com/file/d/1Rz8OteRjQO6mPphLOuv5iqtfoX9lkjt-/view?usp=drive_link)
+    1. Stream Processing 101
+    2. RSP-QL and RSP Dialects
+    3. Demo 2: representative RSP dialects and engines: [*C-SPARQL*](https://github.com/streamreasoning/CSPARQL-engine)
+    4. Exercise 2: Building an SLD Application with [*RSP4J*](https://github.com/streamreasoning/RSP4J)
+    5. Exercise 3: Fast Prototyping with [*RSP4J*](https://github.com/streamreasoning/RSP4J)
+6. **Wrap-up and discussion** [15m] 
     1. On-going research trends, real-world deployments
     2. Open problems and future directions