FieldDB / berlin-buzzwords-2013

Demo examples for Lucene, Solr, ElasticSearch and OpenNLP from Berlin Buzzwords 2013 talk

Berlin Buzzwords 2013 - linguistics-demo

Demo examples for linguistics in Lucene, Solr, ElasticSearch and OpenNLP.

The demo consists of the following modules:

• lucene-analyzer-example
• opennlp-example
• elasticsearch-multilang-example
• solr-multilang-example

Each example demo can be run as described below.

lucene-analyzer-example

The Lucene analyzer example consists of two demos, AnalyzerExampleTest and FrenchSynonymExampleTest.

Run both demos with mvn test.

$ cd lucene-analyzer-example

$ mvn test

The demos can be run individually as well. For example:

$ mvn -Dtest=AnalyzerExampleTest test

opennlp-example

The OpenNLP example consists of examples demonstrating sentence segmentation, tokenization, person name extraction as well as part-of-speech tagging.

Execute the following commands to run the examples.

$ cd opennlp-example

$ mvn -Dget-models test

elasticsearch-multilang-example

The ElasticSearch multilangauge example demonstrates how to do basic multilanguage analysis with ElasticSearch

Download and unpack ElasticSearch (We are using 0.90.1 in this example)

$ cd elasticsearch-multilang-example

$ tar zxvf elasticsearch-0.90.1.tar.gz

Start up Elastic Search

$ ./elasticsearch-0.90.1/bin/elasticsearch -f

Install Kuromoji plugin

$ ./elasticsearch-0.90.1/bin/plugin -install elasticsearch/elasticsearch-analysis-kuromoji/1.4.0

Create index with mappings

$ curl -XPUT 'localhost:9200/wiki' -d @mappings.json

Analyze French and Japanese

$ curl -XGET 'http://localhost:9200/wiki/_analyze?analyzer=french&pretty' -d "Le champagne est un vin pétillant français protégé appelation d'origine contrôlée."

$ curl -XGET 'http://localhost:9200/wiki/_analyze?analyzer=japanese&pretty' -d 'ＪＲ新宿駅の近くにビールを飲みに行こうか？'

Post documents

$ curl -XPOST 'http://localhost:9200/wiki/article' -d @test_en.json

$ curl -XPOST 'http://localhost:9200/wiki/article' -d @test_de.json

$ curl -XPOST 'http://localhost:9200/wiki/article' -d @test_fr.json

$ curl -XPOST 'http://localhost:9200/wiki/article' -d @test_ar.json

$ curl -XPOST 'http://localhost:9200/wiki/article' -d @test_ja.json

Search for Shinjuku

$ curl -XGET 'http://localhost:9200/wiki/article/_search?pretty' -d '{ "query" : { "match" : { "body" : { "query" : "新宿", "analyzer" : "japanese" } } } }'

solr-multilang-example

The Solr multilanguage example demonstrates how language can be detected automatically based on content in fields title and body of Wikipedia documents.

Download and unpack Solr (we are using 4.3.0 in this example)

$ cd solr-multilang-example

$ tar zxvf solr-4.3.0.tgz

Copy the demo schema.xml and solrconfig.xml to Solr's example config as follows

$ cp cp conf/schema.xml
conf/solrconfig.xml
solr-4.3.0/example/solr/collection1/conf/

Start up Solr

$ cd solr-4.3.0/example

$ java -jar start.jar

In a different directory, post the Wikipedia documents

$ ./posh.sh

The below query gives an overview of the documents now searchable from the various Wikipedia language editions

$ curl 'http://localhost:8983/solr/collection1/select?q=*%3A*&rows=0&wt=xml&indent=true&facet=true&facet.field=wiki

The below query gives the distribution of languages detected

$ curl 'http://localhost:8983/solr/collection1/select?q=*%3A*&rows=0&wt=xml&indent=true&facet=true&facet.field=languages

The below query gives the distribution of languages detected in the Japanese Wikipedia

$ curl 'http://localhost:8983/solr/collection1/select?q=wiki%3Ajawiki&rows=0&wt=xml&indent=true&facet=true&facet.field=language'

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