Update sldt2024.md

_events/sldt2024.md

@@ -25,33 +25,33 @@ 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/open?id=1enWXdrqIJHP3SAvqAqu1y-x6N8SZpYt-)
+1. **Streaming Linked Data: An Introduction** [15m] [**slides**](https://drive.google.com/file/d/1ox6Sm33ReryhA4yhcO5y9K_zQPcskdsx/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]
-    1. Stream Processing 101 [*slides*](https://drive.google.com/open?id=1zphiaJFxirmrPcxDPXzZNCRyyk4-6Pjy)
-        1. Paradigm shift to continuous semantics [*slides*](https://drive.google.com/open?id=1bN0yZlFACadI8AtLJzrSUPv4_si61085)
-        2. Stream processing languages and architectures [*slides*](https://drive.google.com/open?id=1gx6vDDfb2P1LaSQA43Rjwgwjzp82hgAG)
+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]
+3. **The Streaming Linked Data Lifecycle Part 1** [60m] [**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
 
 **COFFEE BREAK [20m]** 
 
-5. **The Streaming Linked Data Lifecycle Part 2** [30m]
+4. **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
         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)
-4. **Querying and processing Linked Streams** [45m] [*slides*](https://drive.google.com/open?id=1gx6vDDfb2P1LaSQA43Rjwgwjzp82hgAG)
+5. **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)
-5. **Wrap-up and discussion** [15m]
+6. **Wrap-up and discussion** [15m] [*slides*](https://drive.google.com/file/d/1IWp5_6auJ8MJSJF3XZZuj9I3DlafxCbG/view?usp=drive_link)
     1. On-going research trends, real-world deployments
     2. Open problems and future directions