Semantex™
Semantex™ is an enterprise-class information extraction system that supports the automatic or semi-automatic analysis of large volumes of electronic information in order to detect entities, attributes, relationships and events. Semantex™ represents a hybrid model for information extraction, combining machine-learning and grammatical approaches to achieve better results than any of the techniques could individually.
Semantex™ is modular, scalable and portable to various domains of interest and is used to power both commercial and intelligence applications. It can exploit multiple processors to achieve the throughput necessary for high-volume environments typically encountered in data-intensive government applications. The XML output reflects the rich features assigned to elements of the text based on syntactic and semantic knowledge.
Benefits
- Time Savings
- Reduce time to evaluate critical information
- Increase productivity of key personnel
- System Productivity
- Distributed architecture increases throughput
- Grows with increasing volume requirements
- Information Discovery
- Profiles allow tracking of associated information
- Quickly identifies obscure or hidden relationships
- Tight Integration with Search
- Works with any search engine index
- Combine keyword search with text analytics
- Domain Customization
- Optimizes extraction of relevant information
- Rapid adaptation to changing circumstances
- Supports a Variety of Data Sources & Formats
- FBIS, USMTF, HUMINT, Dialog, Lexis-Nexis, Factiva, etc.
Differentiators
- Profiles
- One profile for each unique entity identified
- Pulls together all related information
- Events
- Detailed extraction of events, including participants, actions and details
- Resolves time information into standard date and/or time
- Hybrid Processing Model
- Uses most appropriate technology at each processing stage
- Best quality results by minimizing compounding variances
- Customizability
- Configurable architecture and customization tools simplify domain porting
- Non-linguists can customize text analytics capabilities
- Scalability
- Designed from the beginning as a distributed solution
- Individual processing modules can be configured differently
