Download JAR files tagged by vocabularies with all dependencies

A package of services enabling the creation and storage of annotations based on formal vocabularies defined in ontologies.

The JSON Schema Definition Language is designed to describe JSON documents by using schema components to constrain and document the meaning, usage and relationships of their constituent parts: value types and their content. Schemas may also provide for the specification of additional document information, such as normalization and defaulting of values. Schemas have facilities for self-documentation. Thus, the JSON Schema Definition Language can be used to define, describe and catalogue JSON vocabularies for JSON documents.

Provides modules that bring language support for Japanese using the Solr/Lucene kuromoji analyzer. This includes a (1) Bundle providing the Solr Analyzer; (2) an NLP processing Engine that Tokenizes, detects sentences, POS taggs, extracts Named Entities and Lemmatizes Japanese text (3) an LabelTokenizer needed to match tokens of the analyzed text with the labels of Entities in the matched vocabularies.

Provides modules that allow basic language support for Chinese using the Solr/Lucene smartcn analyzer. This includes a (1) Bundle providing the Solr Analyzer; (2) an NLP processing Engine that detects Sentences and Tokenizes Chinese Text and (3) an LabelTokenizer needed to match tokens of the analyzed text with the labels of Entities in the matched vocabularies.

OpenIMAJ (Open Intelligent Multimedia in Java) is a collection of libraries and tools for multimedia analysis written in the Java programming language. OpenIMAJ intends to be the first truly complete multimedia analysis library and contains modules for analysing images, videos, text, audio and even webpages. The OpenIMAJ image and video analysis and feature extraction modules contain methods for processing visual content and extracting state-of-the-art features, including SIFT. The OpenIMAJ clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering algorithms including Hierarchical K-Means and Approximate K-Means. The clustering library makes it possible to easily create visual-bag-of-words representations for images and video with very large vocabularies. The text-analysis modules contain implementations of a statistical language classifier and low-level processing pipeline. A number of modules deal with content creation, including interactive slideshows and animations. The hardware integration modules allow cross-platform integration with devices including webcams, the Microsoft Kinect, and even devices such as GPS's. OpenIMAJ also incorporates a number of tools to enable extremely-large-scale multimedia analysis using a distributed computing approach based on Apache Hadoop.