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new 01d6f31ef5 [MINOR] Add missing DOAP rdf file
01d6f31ef5 is described below
commit 01d6f31ef5164835692c5afaddf8d9582d3b878f
Author: Matthias Boehm <[email protected]>
AuthorDate: Wed Sep 13 10:35:04 2023 +0200
[MINOR] Add missing DOAP rdf file
---
doap.rdf | 56 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 56 insertions(+)
diff --git a/doap.rdf b/doap.rdf
new file mode 100644
index 0000000000..4f6f1a1fec
--- /dev/null
+++ b/doap.rdf
@@ -0,0 +1,56 @@
+<?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
+
+ https://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://systemds.apache.org/";>
+ <created>2023-09-13</created>
+ <license rdf:resource="https://spdx.org/licenses/Apache-2.0"; />
+ <name>Apache SystemDS</name>
+ <homepage rdf:resource="https://systemds.apache.org/"; />
+ <asfext:pmc rdf:resource="https://systemds.apache.org"; />
+ <shortdesc>An open source ML system for the end-to-end data science
lifecycle </shortdesc>
+ <description>Apache SystemDS is a machine learning (ML) system for the
end-to-end data science lifecycle from data preparation and cleaning, over
efficient ML model training, to scoring and debugging. ML algorithms or
pipelines are specified in a high-level language with R-like syntax, or related
Python and Java APIs, and the system automatically generates hybrid runtime
plans of local, in-memory operations and distributed operations on Apache
Spark.</description>
+ <bug-database
rdf:resource="https://issues.apache.org/jira/secure/Dashboard.jspa?selectPageId=12335852";
/>
+ <mailing-list rdf:resource="https://systemds.apache.org/community"; />
+ <download-page rdf:resource="https://systemds.apache.org/download"; />
+ <programming-language>C++</programming-language>
+ <programming-language>Java</programming-language>
+ <programming-language>Python</programming-language>
+ <programming-language>R</programming-language>
+ <category rdf:resource="https://projects.apache.org/category/big-data"; />
+ <category
rdf:resource="https://projects.apache.org/category/data-engineering"; />
+ <release>
+ <Version>
+ <name>Apache SystemDS 3.1.0</name>
+ <created>2023-03-13</created>
+ <revision>3.1.0</revision>
+ </Version>
+ </release>
+ <repository>
+ <GitRepository>
+ <location rdf:resource="https://github.com/apache/systemds"/>
+ <browse rdf:resource="https://github.com/apache/systemds"/>
+ </GitRepository>
+ </repository>
+ </Project>
+</rdf:RDF>
+
