Fix internal links

Jelly-RDF · Nov 7, 2024 · a0fea69 · a0fea69
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diff --git a/docs/index.md b/docs/index.md
@@ -44,24 +44,24 @@
 
 ## How fast is it?
 
-*Fast.* Jelly was specifically designed to serialize and deserialize streams of RDF data faster than N-Triples or other binary formats, while being [more compact than Turtle](performance.md#serialized-size).
+*Fast.* Jelly was specifically designed to serialize and deserialize streams of RDF data faster than N-Triples or other binary formats, while being [more compact than Turtle](performance/index.md#serialized-size).
 
-The benchmarks below were performed on streams of RDF graphs or datasets, but Jelly is also good at handling streams of triples or quads ("classic" serialization). The benchmark was performed with Jelly-JVM 2.2.2 with Apache Jena 5.2.0. See: **[more benchmark results and details about the benchmark setup](performance.md)**.
+The benchmarks below were performed on streams of RDF graphs or datasets, but Jelly is also good at handling streams of triples or quads ("classic" serialization). The benchmark was performed with Jelly-JVM 2.2.2 with Apache Jena 5.2.0. See: **[more benchmark results and details about the benchmark setup](performance/index.md)**.
 
 <figure markdown="span">
   ![Serialization speed bar plot](assets/benchmarks/grouped_ser.png){ width="100%" }
-  <figcaption markdown style="max-width: 100%;">Serialization speed of a stream of RDF graphs or RDF datasets, averaged over 13 datasets (RiverBench 2.1.0 profile [`stream-mixed-rdfstar`](https://w3id.org/riverbench/v/2.1.0/profiles/stream-mixed-rdfstar), task [`stream-serialization-throughput`](https://w3id.org/riverbench/v/2.1.0/tasks/stream-serialization-throughput)).<br>* Partial results for RDF/XML and JSON-LD (some datasets not supported).<br>[More details about the benchmark](performance.md).</figcaption>
+  <figcaption markdown style="max-width: 100%;">Serialization speed of a stream of RDF graphs or RDF datasets, averaged over 13 datasets (RiverBench 2.1.0 profile [`stream-mixed-rdfstar`](https://w3id.org/riverbench/v/2.1.0/profiles/stream-mixed-rdfstar), task [`stream-serialization-throughput`](https://w3id.org/riverbench/v/2.1.0/tasks/stream-serialization-throughput)).<br>* Partial results for RDF/XML and JSON-LD (some datasets not supported).<br>[More details about the benchmark](performance/index.md).</figcaption>
 </figure>
 
 <figure markdown="span">
   ![Deserialization speed bar plot](assets/benchmarks/grouped_des.png){ width="100%" }
-  <figcaption markdown style="max-width: 100%;">Deserialization (parsing) speed of a stream of RDF graphs or RDF datasets, averaged over 13 datasets (RiverBench 2.1.0 profile [`stream-mixed-rdfstar`](https://w3id.org/riverbench/v/2.1.0/profiles/stream-mixed-rdfstar), task [`stream-deserialization-throughput`](https://w3id.org/riverbench/v/2.1.0/tasks/stream-deserialization-throughput)).<br>* Partial results for RDF/XML and JSON-LD (some datasets not supported).<br>[More details about the benchmark](performance.md).</figcaption>
+  <figcaption markdown style="max-width: 100%;">Deserialization (parsing) speed of a stream of RDF graphs or RDF datasets, averaged over 13 datasets (RiverBench 2.1.0 profile [`stream-mixed-rdfstar`](https://w3id.org/riverbench/v/2.1.0/profiles/stream-mixed-rdfstar), task [`stream-deserialization-throughput`](https://w3id.org/riverbench/v/2.1.0/tasks/stream-deserialization-throughput)).<br>* Partial results for RDF/XML and JSON-LD (some datasets not supported).<br>[More details about the benchmark](performance/index.md).</figcaption>
 </figure>
 
 ## See also
 
 - **[User guide](user-guide.md)**
-- **[Performance benchmarks](performance.md)**
+- **[Performance benchmarks](performance/index.md)**
 - **[Protocol specification](specification/index.md)**
 - **[Contributing to Jelly](contributing.md)**
 - **Code on GitHub:** [protocol definition](https://github.com/Jelly-RDF/jelly-protobuf), [JVM implementation](https://github.com/Jelly-RDF/jelly-jvm), [website](https://github.com/Jelly-RDF/jelly-rdf.github.io)

diff --git a/docs/performance/index.md b/docs/performance/index.md
@@ -32,7 +32,7 @@ Software: Linux kernel 6.10.11, Oracle GraalVM 23.0.1+11.1, Apache Jena 5.2.0, E
 - [Jena's RDF binary](https://jena.apache.org/documentation/io/rdf-binary.html) Protobuf format (Apache Jena 5.2.0, `RDF_PROTO`)
 - [Jena's RDF binary](https://jena.apache.org/documentation/io/rdf-binary.html) Thrift format (Apache Jena 5.2.0, `RDF_THRIFT`)
 - [RDF4J Binary RDF Format](https://rdf4j.org/documentation/reference/rdf4j-binary/) (Eclipse RDF4J 5.0.2, `BINARY`)
-    - *Note: to avoid confusion, on this page we only show the performance results for Apache Jena. The results for RDF4J can be found here: [RDF4J performance](performance/rdf4j.md).*
+    - *Note: to avoid confusion, on this page we only show the performance results for Apache Jena. The results for RDF4J can be found here: [RDF4J performance](rdf4j.md).*
 - Jelly (Jelly-JVM 2.2.2, "big" preset)
     ```protobuf
     max_name_table_size = 4000;
@@ -149,4 +149,4 @@ When reviewing these results, it's important to remember that Jelly is faster th
 - [Benchmark code](https://github.com/Jelly-RDF/jvm-benchmarks/tree/dd58f5de0916c1223ca115052567c1fb39f4cd62)
 - [RiverBench benchmark suite](https://w3id.org/riverbench/)
 - [Jelly-JVM]({{ jvm_link() }}) – the Jelly implementation used in the benchmarks
-- [User guide](user-guide.md)
+- [User guide](../user-guide.md)
diff --git a/docs/performance/rdf4j.md b/docs/performance/rdf4j.md
@@ -87,4 +87,4 @@ Flat streaming serialization is admittedly the one scenario where Jelly is prett
 - [Benchmark code](https://github.com/Jelly-RDF/jvm-benchmarks/tree/dd58f5de0916c1223ca115052567c1fb39f4cd62)
 - [RiverBench benchmark suite](https://w3id.org/riverbench/)
 - [Jelly-JVM]({{ jvm_link() }}) – the Jelly implementation used in the benchmarks
-- [User guide](user-guide.md)
+- [User guide](../user-guide.md)
diff --git a/docs/use-cases.md b/docs/use-cases.md
@@ -8,7 +8,7 @@
     - Jelly is used as [one of the serialization formats](https://w3id.org/riverbench/v/dev/documentation/dataset-release-format) for distributing datasets in RiverBench.
     - Jelly is also used for [distributing the RDF metadata](https://w3id.org/riverbench/v/dev/documentation/metadata) of benchmark datasets, tasks, and other resources.
     - This is implemented in the [ci-worker](https://github.com/RiverBench/ci-worker) application – a Scala 3 program making heavy use of [Jelly-JVM's]({{ jvm_link() }}) streaming capabilities.
-- [Jelly-JVM benchmark code](https://github.com/Jelly-RDF/jvm-benchmarks). This code was used to produce the results seen on the [performance page](performance.md).
+- [Jelly-JVM benchmark code](https://github.com/Jelly-RDF/jvm-benchmarks). This code was used to produce the results seen on the [performance page](performance/index.md).
 - [RDF Stream Taxonomy (RDF-STaX)](https://w3id.org/stax) uses Jelly for distributing the RDF-STaX ontology and the living literature review of RDF streaming.
     - This is implemented using Apache Jena's RIOT command-line utility and [Jelly-JVM's Jena plugin]({{ jvm_link('getting-started-plugins') }}). Source code: [GitHub](https://github.com/RDF-STaX/ci-worker).
 - *Not released publicly yet – stay tuned!* A Scala 2 application using Jelly over Kafka, MQTT, and gRPC (full streaming protocol).