The Ontotext Insights Platform was built to address very specific domain needs within the life sciences and healthcare industries. Research analysts, bio-informatics experts, doctors and insurers are faced with unique challenges every day. They need to find precise sets of information that are usually scattered across disparate data sources. None of the complex terminology is semantically indexed or connected. This results in lost time and less accurate research or care.
Ontotext Insight Platform dramatically reduces the time it takes to discover relevant content using a unique blend of text mining, a knowledge base of terms, linked open data integration and highly contextual semantic search. The Ontotext Insights Platform has:
- Semantic annotation pipelines to extract meaning from patient data and research documents using more than 100 different semantic types.
- Automatically recognize complex biomedical terms using tested “bio-medical tagging algorithms.”
- A semantically rich knowledge base with domain specific classifications allowing you to match and classify extracted terms for greater insights.
- Integrated biomedical ontologies like SNOMED, LOINC, RxNorm and UMLS used to structure patient records.
Linked Life Data
We built a public service based on this platform called Linked Life Data. This services provides access to 25 public biomedical databases through a single access point. The service allows writing of complex data analytical queries, answering complex bioinformatics questions such as ‘give me all human genes located in Y-chromosome with the known molecular interactions.’ You can try the service for free on the Linked Life Data Site.