westei

anno4j

Read and write API for W3C Web Annotation Model and W3C Open Annotation Data Model

commons-rdf

working repository for experimenting with idea of providing a commons library for RDF 1.1 that could be implemented by the upcoming versions of the main Java toolkits

Disambiguation-Stanbol

Non

jsonld-java

JSON-LD implementation for Java

n3-collection

N3 - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format

nodekeeper

SolrTextTagger

A text tagger based on Lucene / Solr, using FST technology

stanbol-gosen

This modules allow to use the [lucene-gosen](https://code.google.com/p/lucene-gosen/) for processing Japanese Texts with Apache Stanbol

stanbol-stanfordnlp

Integration between Stanford NLP and Apache Stanbol

stanbol-talismane

Integration of Talismane with Apache Stanbol

westei/stanbol-stanfordnlp

Integration between Stanford NLP and Apache Stanbol

westei/Disambiguation-Stanbol

Non

westei/stanbol-gosen

This modules allow to use the [lucene-gosen](https://code.google.com/p/lucene-gosen/) for processing Japanese Texts with Apache Stanbol

westei/stanbol-talismane

Integration of Talismane with Apache Stanbol

westei/anno4j

Read and write API for W3C Web Annotation Model and W3C Open Annotation Data Model

westei/commons-rdf

working repository for experimenting with idea of providing a commons library for RDF 1.1 that could be implemented by the upcoming versions of the main Java toolkits

westei/jsonld-java

JSON-LD implementation for Java

westei/n3-collection

N3 - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format

westei/nodekeeper

westei/SolrTextTagger

A text tagger based on Lucene / Solr, using FST technology

westei/stanbol-1007

TBD enhancement engine uses Sphinix library to convert the captured audio. Media (audio/video) data file is parsed with the ContentItem and formatted to proper audio format by Xuggler libraries. Audio speech is than extracted by Sphinix to 'plain/text' with the annotation of temporal position of the extracted text. Sphinix uses acoustic model and language model to map the utterances with the text, so the engine will also provide support of uploading acoustic model and language model.

westei/thumbnailator

Automatically exported from code.google.com/p/thumbnailator

westei/thumbnailator.examples

Automatically exported from code.google.com/p/thumbnailator.examples