# Ann: Elasticsearch SKOS analysis plugin 1.0.0 **URL:** \ **Category:** Elasticsearch\ **Created:** [August 13, 2012, 8:50am UTC](https://discuss.elastic.co/t/ann-elasticsearch-skos-analysis-plugin-1-0-0/8727 "2012-08-13T08:50:00Z")\ **Posts on this page:** 4\ **Page:** 1
**Author:** ![jprante](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/jprante/32/44941_2.png) [@jprante](https://discuss.elastic.co/u/jprante)\ **Post date:** [August 13, 2012, 8:50am UTC](https://discuss.elastic.co/t/ann-elasticsearch-skos-analysis-plugin-1-0-0/8727/1 "2012-08-13T08:50:00Z")
Hi, I'd like to announce a port of this effort "SKOS support for Apache Lucene and Solr" which can be found at [https://github.com/behas/lucene-skos](https://github.com/behas/lucene-skos) to Elasticsearch. What is SKOS? The Simple Knowledge Organization System (SKOS) is a model for expressing controlled structured vocabularies (classification schemes, thesauri, taxonomies, etc.). As an application of the Resource Description Framework (RDF), SKOS allows these vocabularies to be published as dereferenceable resources on the Web, which makes them easy to retrieve and reuse in applications. SKOS plays a major role in the ongoing Linked Data activities. SKOS analysis SKOS for Elasticsearch is an analyzer plugin. It takes existing SKOS concepts schemes and performs term expansion for given documents and/or queries. You can found it here: [https://github.com/jprante/elasticsearch-analysis-skos](https://github.com/jprante/elasticsearch-analysis-skos) Feedback is welcome! Best regards, Jörg -- ---
**Author:** ![David\_G\_Ortega](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/david_g_ortega/32/46359_2.png) [@David\_G\_Ortega](https://discuss.elastic.co/u/David_G_Ortega)\ **Post date:** [October 24, 2012, 11:03am UTC](https://discuss.elastic.co/t/ann-elasticsearch-skos-analysis-plugin-1-0-0/8727/2 "2012-10-24T11:03:19Z")
Amazing Jorg, Im using maui at the minute and was trying to replace it with lucene-skos just to not use too much "tools". I'm trying to setup this during the week and I will tell you. Thanks a lot for this awesome contribution. David El lunes, 13 de agosto de 2012 10:50:00 UTC+2, Jörg Prante escribió: > Hi, > > I'd like to announce a port of this effort "SKOS support for Apache Lucene > and Solr" which can be found at [GitHub - behas/lucene-skos: SKOS Support for Apache Lucene and Solr](https://github.com/behas/lucene-skos) to > Elasticsearch. > > What is SKOS? > > The Simple Knowledge Organization System (SKOS) is a model for expressing > controlled structured vocabularies (classification schemes, thesauri, > taxonomies, etc.). As an application of the Resource Description Framework > (RDF), SKOS allows these vocabularies to be published as dereferenceable > resources on the Web, which makes them easy to retrieve and reuse in > applications. SKOS plays a major role in the ongoing Linked Data activities. > > SKOS analysis > > SKOS for Elasticsearch is an analyzer plugin. It takes existing SKOS > concepts schemes and performs term expansion for given documents and/or > queries. > > You can found it here: > [GitHub - jprante/elasticsearch-analysis-skos: SKOS analysis for Elasticsearch](https://github.com/jprante/elasticsearch-analysis-skos) > > Feedback is welcome! > > Best regards, > > Jörg -- ---
**Author:** ![jprante](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/jprante/32/44941_2.png) [@jprante](https://discuss.elastic.co/u/jprante)\ **Post date:** [October 24, 2012, 6:30pm UTC](https://discuss.elastic.co/t/ann-elasticsearch-skos-analysis-plugin-1-0-0/8727/3 "2012-10-24T18:30:34Z")
Hi David, glad to hear you are interested in semantic text processing. Just FYI, I have another three ES plugins in the pipeline, elasticsearch-analysis-stanford-pos with the Stanford Part-of-Speech Tagger [The Stanford Natural Language Processing Group](http://nlp.stanford.edu/software/tagger.shtml), elasticsearch-analysis-opennlp wrapping the Apache OpenNLP project [http://opennlp.apache.org](http://opennlp.apache.org) and elasticsearch-analysis-uima using the Apache UIMA project originally from IBM [http://uima.apache.org](http://uima.apache.org) - more info soon... Cheers, Jörg On Wednesday, October 24, 2012 1:03:19 PM UTC+2, David G Ortega wrote: > Amazing Jorg, > > Im using maui at the minute and was trying to replace it with lucene-skos > just to not use too much "tools". I'm trying to setup this during the week > and I will tell you. > Thanks a lot for this awesome contribution. > > David > > El lunes, 13 de agosto de 2012 10:50:00 UTC+2, Jörg Prante escribió: > > > Hi, > > > > I'd like to announce a port of this effort "SKOS support for Apache > > Lucene and Solr" which can be found at > > [GitHub - behas/lucene-skos: SKOS Support for Apache Lucene and Solr](https://github.com/behas/lucene-skos) to Elasticsearch. > > > > What is SKOS? > > > > The Simple Knowledge Organization System (SKOS) is a model for expressing > > controlled structured vocabularies (classification schemes, thesauri, > > taxonomies, etc.). As an application of the Resource Description Framework > > (RDF), SKOS allows these vocabularies to be published as dereferenceable > > resources on the Web, which makes them easy to retrieve and reuse in > > applications. SKOS plays a major role in the ongoing Linked Data activities. > > > > SKOS analysis > > > > SKOS for Elasticsearch is an analyzer plugin. It takes existing SKOS > > concepts schemes and performs term expansion for given documents and/or > > queries. > > > > You can found it here: > > [GitHub - jprante/elasticsearch-analysis-skos: SKOS analysis for Elasticsearch](https://github.com/jprante/elasticsearch-analysis-skos) > > > > Feedback is welcome! > > > > Best regards, > > > > Jörg -- ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [July 6, 2017, 3:07am UTC](https://discuss.elastic.co/t/ann-elasticsearch-skos-analysis-plugin-1-0-0/8727/4 "2017-07-06T03:07:24Z")