Accelerate Knowledge Graph Development with Ontotext LinkedLifeData Inventory
Ontotext’s Life Sciences and Healthcare Data Inventory will give you access to 200+ public datasets and ontologies in RDF format and empower you to:
- create large, highly interconnected and use-case specific knowledge graphs in just a few weeks
- enrich your proprietary data to get deeper insights
- leverage our proven methodology for semantic data integration
- subscribe to a custom set of datasets and preferred update frequency (depending on the update frequency guaranteed by the official publisher)
Request a personalized demo
About Ontotext’s LinkedLifeData Inventory
Ontotext Life Sciences and Healthcare Data Inventory offers access to 200+ public datasets and ontologies in RDF format about genomics, proteomics, metabolomics, molecular interactions and biological processes, pharmacology, clinical, medical and scientific publications and many more (UMLS, SNOMED, LOINC, ICD-9, ICD-10, ChEBI, ChEMBL, UniProt, PubMed, ClinicalTrials.gov, FDA AERS as well as very niche ones like GWAS, DisGenet, OpenTargets, PathwayCommons, FDA NDC, Drugs@FDA).
A data inventory organized as a map of data domains
Who is Ontotext’s LinkedLifeData Inventory for?
Pharma companies
Discover and repurpose a number of existing drugs to treat rare and newly identified diseases.
Biotech companies
Use target data of drug indications and build model datasets.
Research
Navigate efficiently the huge volume and wide range of data about genes, proteins, compounds, diseases, etc.
How it works
Our established FAIRification process ensures the semantic harmonization of the data, normalizing property values to corresponding ontology / terminology instances specific for the biomedical domain.
For datasets serialized in RDF by their official publishers, we generate additional semantic mappings between certain concepts from referential datasets for genes, proteins, drugs, compounds, pathways, diseases, cell types and cell lines.
Whenever necessary for the delivery of a custom knowledge graph solution, we provide a definition of the mappings between the customer proprietary ontology and the incorporated public datasets from our inventory.
Each single dataset in the inventory is represented by a documented schema and a detailed description of each RDF serialization including classes, properties and semantic mappings.
What to expect?
Find your Dataset
You will get access to the LinkeLifeData Catalog system, in which you can identify relevant for your use case data set, using either the search or just filtering the results.
Dive Deeper
You can dive deeper in the dataset dashboard in order to validate that the information you need is present and how it is related to other data sets
Build your Knowledge Graph
Once you identify the relevant data sets for your use case, you can start building your knowledge graph starting with the source data sets loaded and accessible through GraphDB Workbench
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