Semantics for Life Sciences

Challenges

R&D processes in the Life Sciences – such as the invention of a new drug therapy – are typically high risk knowledge intensive processes that involve a large number of people from different organizations. Scientists engaged in Life Science research are faced with

• huge amounts of heterogeneous and distributed data on the one hand, and
• open web databases rarely following a common pattern when it comes to storing and designing data on the other.

Information needs are often complex and can only be answered by combining information from multiple sources. Therefore, tools that are able to combine, mine, and correlate massive amounts of highly structured and unstructured content from several sources are required.

Our Solution

With the Information Workbench™ we offer one tool to process bio-medical and chemical data and to connect information from different sources. With its innovative semantic platform, the Information Workbench™ allows users to:

• search large volumes of bio-medical literature and databases,
• extract and link relevant information,
• get a unified view across data silos, and
• use data in an integrated way.

Your Benefits

• Semantic Integration: Interlink your private bio-medical databases with public databases such as KEGG, Drugbank, ChEBI, and Pubmed.
• Enhanced Search and Interrogation: Query previously disparate data sources through a unified view, e.g. to find paths between compounds and reactions across multiple sources.
• Collaboration: Improve collaboration and knowledge sharing among virtual teams of researchers, clinicians and academic centers, tightly integrated with existing knowledge generation processes that are already in place.
• Discovery: Make new discoveries by interpreting data in the broadest possible scientific context, combining experimental and clinical data and correlating private and public data.

Interested?

Please contact us for more information or visit the Information Workbench product page.