alamb commented on code in PR #10233:
URL: https://github.com/apache/datafusion/pull/10233#discussion_r1580115729


##########
doap.rdf:
##########
@@ -0,0 +1,55 @@
+---
+---
+<?xml version="1.0"?>
+<?xml-stylesheet type="text/xsl"?>
+<rdf:RDF xml:lang="en"
+         xmlns="http://usefulinc.com/ns/doap#";
+         xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#";
+         xmlns:asfext="http://projects.apache.org/ns/asfext#";
+         xmlns:foaf="http://xmlns.com/foaf/0.1/";>
+<!--
+    Licensed to the Apache Software Foundation (ASF) under one or more
+    contributor license agreements.  See the NOTICE file distributed with
+    this work for additional information regarding copyright ownership.
+    The ASF licenses this file to You under the Apache License, Version 2.0
+    (the "License"); you may not use this file except in compliance with
+    the License.  You may obtain a copy of the License at
+
+         http://www.apache.org/licenses/LICENSE-2.0
+
+    Unless required by applicable law or agreed to in writing, software
+    distributed under the License is distributed on an "AS IS" BASIS,
+    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+    See the License for the specific language governing permissions and
+    limitations under the License.
+-->
+  <Project rdf:about="https://datafusion.apache.org";>
+    <created>2024-04-17</created>
+    <license rdf:resource="https://spdx.org/licenses/Apache-2.0"; />
+    <name>Apache DataFusion</name>
+    <homepage rdf:resource="https://datafusion.apache.org"; />
+    <asfext:pmc rdf:resource="https://datafusion.apache.org"; />
+    <shortdesc>Apache DataFusion is a very fast, extensible query engine for 
building high-quality data-centric systems.</shortdesc>
+    <description>
+        Apache DataFusion is a very fast, extensible query engine for building 
high-quality data-centric systems
+        in Rust, using the Apache Arrow in-memory format. Python Bindings are 
also available. DataFusion offers SQL
+        and Dataframe APIs, excellent performance, built-in support for CSV, 
Parquet, JSON, and Avro,
+        extensive customization, and a great community.
+    </description>
+    <bug-database rdf:resource="https://github.com/apache/datafusion/issues"; />
+    <mailing-list 
rdf:resource="https://lists.apache.org/[email protected]"; />
+    <download-page 
rdf:resource="https://github.com/apache/datafusion/releases"; />

Review Comment:
   Sounds good -- I filed to track 
https://github.com/apache/datafusion/issues/10236



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