Several standardized vocabularies such as Wordnet, DBPedia, Geonames, UNESCO, Eurovoc, MeSH, ChemIDPlus & UMLS are also incorporated and available in ready to use “domain cartridges”.

2] Semantic Model Manager

3RDi Enterprise has built-in visual point-and-click semantic model development for query enhancement, concept and entity extraction, disambiguation and content enrichment – leveraging controlled vocabularies, NLP and machine learning. The semantic modeling workbench provides a visual semantic canvas to create multiple semantic models for different text analytics use cases, such as content enrichment, search, recommendations and promotions. These semantic models which are based on linked vocabularies, semantic rulesets and machine learning models, are then executed within Retina – the 3RDi text-analytics engine.

3RDi Semantic models can be consumed by many use cases in addition to search and also can be applied to enhance search effectiveness of any search engine. As an example, 3RDi Enterprise can be applied for content classification for evidence based medicine research (EBMR), as shown below in a screenshot of ResearchNet.io, a comprehensive research platform powered by 3RDi Search.

3] Retina: The Semantic Text Analytics Engine

The 3RDi Retina module and API is a semantic/text-analytics engine that provides content and context analytics based on 3RDi semantic models for entity and concepts extraction and enrichment. We have conducted several exhaustive benchmarks on our text analytics capabilities – below is a snapshot against leading well known text analytics engines with maturity in the Life Sciences domain as an example.

4] Search Model Manager

3RDi’s core search solutions accelerator is a declarative model-driven search relevancy workbench that seamlessly blends in 3RDi’s semantic models with search relevancy models to achieve relevant search rapidly with a visual modeler and a metrics-driven model validation and tuning capability.

5] Search Experience & Effectiveness (SEE) Manager

Once a search implementation is rolled out to end users, the focus typically shifts to monitoring, analyzing and enhancing the end user search experience and effectiveness. 3RDi Enterprise has extensive customizable built-in signal capturing and analytics capabilities. 

In addition, 3RDi SEE signals can be dynamically incorporated into active search models for continuous dynamic learning based on individual user preferences and queries to achieve model-based personalized search.

3RDi SEE further enhances the end-user search experience with targeted promotions and sponsored listings (which is again just another model) based on automatically identified user interests.

The Final Word

Most serious search implementations take over a year to develop, tune, test and release with conventional search engineering platforms and approaches. 3RDi’s unique model based solution accelerator is a strong foundation for rapid delivery usually in a few months (typically 3-4 months) for a specific set of customer requirements.