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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.
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biomedical knowledge discovery - an enterprise solution
AlmaKnowledgeServer 2 (AKS 2) is perfect for organizations who want to install a knowledge database system locally behind their firewall, or for informatics specialists who want to access the AKS database for their custom data mining projects.
Figure 1: AKS 2 screen shots and software product
AKS 2 is an easy-to-use literature mining system that delivers powerful search capabilities and visualization tools, and it helps you uncover relationships between genes, proteins, drugs, chemical compounds, symptoms and diseases that exist within PubMed abstracts. The system can even help you discover links that exist, but have not been published yet.
The benefits of using AKS 2 include:
- Internal deployment
- Direct access to AKS database
- Access to AKS API
- Automatic local updates
- Secure internal searching
