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The DBpedia Extraction Framework QuickStart Guide

TODO: requires further extension with info from: https://github.com/dbpedia/extraction-framework/blob/master/documentation/extraction-process.md


  • Maven 3.2+ - used for project management and build automation. Get it from: http://maven.apache.org/.
  • Java 1.8+ JDK - user Java version 1.8. The framework does not compile with OpenJDK 10 & 1
  • rapper version 2.14+ - get it from http://librdf.org/raptor/rapper.html
  • Git
  • Your favourite IDE for coding. There are a number of options:
    • IntelliJ IDEA - currently the most stable IDE for developing with Java/Scala (preferred). To get the most recent Scala Plugin get the current early access version and install the Scala plugin from the official repository.
    • Eclipse - please follow the DBpedia & Eclipse Quick Start Guide.
    • Netbeans - also offers a Scala plugin.

1. Setting Up

  • Clone the latest version of the framework from the master branch.

git clone https://github.com/dbpedia/extraction-framework

  • Configure the framework

TODO: missing docu with in-depth description of the configuration options, being prepared at https://github.com/dbpedia/extraction-framework/tree/configDocu


  • base-dir: Path to DATADIR -> the data directory
  • log-dir: Path to LOGDIR -> the log directory

  • Configure your execution properties in dump/*.properties
    • already prepared configurations:
      • extraction.default.properties: the default extraction
      • extraction.mappings.properties: only extracts mapping datasets
      • extraction.spark.properties: configuration options for the spark-extraction. Executes all spark-supported extractors. (no mapping, no NIF, no images)
      • extraction.wikidata.properties: extraction on wikidata datasets
      • download.10000.properties: pre-configured to download all dumps with more than 10.000 articles
    • configuration options include:
      • require-download-complete: checks directories for the download-complete file
      • languages: list of languages, used for the extraction
      • extractors: list of extractor classes to be used in the extraction
      • extractors.language-code: additional extractor classes used for this language
      • spark-master (sparkextraction only): value for the spark-master. For local mode, you can configure your number of processor-threads to be used with local[X]. Optimum seems to be reached at 32 Threads with the current implementation.
      • spark-local-dir (sparkextraction only): location for sparks temporary files, incase /tmp/ is too small.
  • Edit dump/pom.xml and change memory settings for extraction launcher <jvmArg>-Xmx16G</jvmArg>, if needed.

  • Compile the framework

mvn install

2. Download Input Data

There are several input datasets required for the framework.

  • Wikipedia XML Dumps:

The Wikimedia XML dumps are the main source for the extraction. The data is distributed as one file per language per dump-release. The extraction framework downloads these files the download script (see below). You can also manually download the files from here, but this very tedious task.

cd dump
../run download download.10000.properties

Note: check if everything has been downloaded. If not, run the download command again!

  • DBpedia Ontology

Download the latest version of the DBpedia ontology using the script.

cd core
../run download-ontology
  • DBpedia Mappings

Download the latest versions of the mappings from the mappings wiki.

cd core
../run download-mappings
  • Wikidata-r2r Mappings

This is only needed for the Wikidata-Extraction and downloads the latest version of the additional r2r mappings from the official repository.

cd core/src/main/resources && curl https://raw.githubusercontent.com/dbpedia/extraction-framework/master/core/src/main/resources/wikidatar2r.json > wikidatar2r.json
cd ../../../../ && mvn clean install # again to ensure new wikidatar2r.json is loaded correctly

3A Running per-entity ad hoc extraction / Deploying Ad hoc Extraction Server

run redeploy-server script go to http://localhost:9999/server/extraction/ you can also use this script as cronjob for one instance per machine / docker container to redeploy the ad hoc extraction daily using latest master source code + ontology + mappings

0 3 * * * /bin/bash -c "cd /home/gfs/extraction-framework && ./redeploy-server"

3B Running the Dump Extraction

  • Default Extraction

This is the default way of starting the extraction. The extractor classes that get used, and with that the datasets that get produced, can be configured in the .properties file used.

cd dump`
../run extraction extraction.default.properties
  • Mappings Based Extraction

The mapping-based extraction produces higher quality data through the usage of community-made mapping files. Due to the complexity of this task, the mapping-extraction is currently not supported by the spark-based extraction.

cd dump
../run extraction extraction.mappings.properties

TODO: missing info on generic extraction

  • Wikidata based Extraction
cd dump
../run extraction extraction.wikidata.properties
  • Apache Spark Based Extraction

The Spark based extraction is using Apache Spark to speed up the extraction process. It currently works with every Extractor except MappingExtractor, ImageExtractor and the Text extraction.

cd dump
../run sparkextraction extraction.spark.properties

TODO: extend with info from https://github.com/dbpedia/extraction-framework/blob/master/documentation/extraction-process.md#2-generic-spark-extraction

4. Post-Processing

  • Wikidata Post-processing

TODO: extend with https://github.com/dbpedia/extraction-framework/blob/master/documentation/extraction-process.md#4-wikidata-extraction

The wikidata files have their own dedicated postprocessing scripts, that should be executed before publishing the data. ```cd scripts ../run ResolveTransitiveLinks DATADIR redirects transitive-redirects .ttl.bz2 wikidata ../run MapObjectUris DATADIR transitive-redirects .ttl.bz2 mappingbased-objects-uncleaned,raw -redirected .ttl.bz2 wikidata ../run WikidataSubClassOf process.wikidata.subclassof.properties ../run TypeConsistencyCheck type.consistency.check.properties

## 5. Release Deployment on the Databus (ONLY for official releases, not for local)

* **Preparation for export to the downloads server & release deployment on the [DBpedia Databus](https://databus.dbpedia.org)**

This script moves the data to the `EXPORTDIR` and renames the files according to the naming scheme used by the [databus-maven-plugin](https://github.com/dbpedia/databus-maven-plugin). Replace `DUMPDATE` with the current date in the format `dd.mm.yyyy`.

mkdir EXPORTDIR cd DATADIR` extraction-framework/scripts/src/main/bash/databusPreparation.sh EXPORTDIR src/main/databus/DUMPDATE

* **Data cleansing (sort -u & rapper)**

Sort, remove duplicates and parse the data with the rapper tool.

cd DATADIR extraction-framework/scripts/src/main/bash/sortandrap.sh ```