The core technology for extracting knowledge from published abstracts is based on sophisticated text mining algorithms from our software partner, Bioalma. Every night, the text mining system automatically extracts relevant information from all new abstracts added to PubMed, and then inserts this new information to the knowledge database.
The database information can be searched as an enterprise solution located at your site and updated as often as you choose.
AlmaKnowledgeServer 2 (AKS 2) - Enterprise solution
AKS 2 is perfect for organizations that want to install a private knowledge database system for local access and internal software development.
CLICK HERE TO REQUEST A FREE TRIAL ACCOUNT OR PRICE QUOTE.
While others search, AKS already knows!
AKS v2.1 is a knowledge management system with a powerful and intuitive interface that analyzes and organizes biological and biomedical literature on a daily basis. In fact, every day the system automatically extracts the relevant information from all new abstracts that have been aded to PubMed, applies it unique text mining algorithms, and adds the updated knowledge to the AKS database.
Exploration
- Uncover literature associations between diseases, genes drugs, etc.
- Use web links to learn more about genes and proteins identified in abstracts
- View chemical structures and use web links to investigate compounds
- Perform searches using identifiers from common biological databases
- Receive automatic search alerts via email
Visualization
- Visualize trend analysis reports
- Visualize relationships with an interactive graphical browser
Collaboration
- Export search results to Microsoft Exel and generate PDF reports
- Store, organize and share analysis results
- Create custom analyses with a flexible API


