Semantic enrichment, ontology management from Luxid Version 7

TEMIS has released the seventh generation of its flagship semantic content enrichment platform. The company reports Luxid 7 offers a more scalable and robust semantic enrichment pipeline and a dedicated ontology management tool, providing users with an integrated workflow that is said to be more powerful and more efficient.

Also new is Luxid Webstudio, which is described as a natively multi-user, collaborative Web application enabling users to create, edit and maintain an ontology while governing the way ontological objects are recognized by the Luxid semantic enrichment pipeline. It also fully exploits the platform's Natural Language Processing layer to:

• preview in real time the results of the semantic enrichment process when applied to the user’s corpus of documents, allowing users to quickly see and correct gaps between ontology and real-world semantic enrichment, directly within the Webstudio interface, for example, by adding variants or adjusting extraction mechanisms;
• suggest relevant objects mentioned in the user's corpus that are not yet included in the ontology, which can be extended with any Luxid Skill Cartridge to suggest new objects and relationships based on linguistic patterns, statistics or machine learning, helping non-subject-matter experts to build their own ontologies, as well.

TEMIS explains users will be more autonomous in creating or maintaining an ontology and the corresponding semantic enrichment pipeline, resulting in a considerably simplified and accelerated workflow, enabling improved time-to-market and lower total cost of ownership, claims TEMIS.

Luxid Annotation Server is TEMIS' flagship natural language processing pipeline that lends itself to a broad range of usage scenarios, thanks to its comprehensive range of information extraction engines based on syntactical, statistical, taxonomical and machine-learning algorithms.

Capabilities include:

• A simplified internal architecture employs a single data model that reduces overhead, improves CPU utilization and efficiently lends itself to a variety of scale-in and scale-out configurations, for real-time, high-availability or batch content processing applications for both cloud and big data (Hadoop) deployment.
• Comprehensive REST Web services enable easy integration into any application or workflow.