- Overview
- User Interfaces
- Text Mining
- Semantic Database
- ASAPI
Alitora’s collaborative innovation networks combine search with collaboration into a single interface. Each user has a profile and within that profile searches can be performed on any concept. The results can be stored for later use, shared with other users, and annotated with comments, URLs, or documents. Additionally, users can be grouped into ad-hoc teams and data shared within the team. All exchanges of information can be controlled to preserve information security. All of this functionality and integrated data is available for integration with other applications through Alitora’s Application Program Interface.
The connection of people with data occurs within Alitora’s semantic database, kHarmony™. kHarmony™ is a first-of-its-kind semantic search platform that uses proprietary graph-theoretic and information retrieval techniques to organize information. Information in kHarmony™ is represented in a graph form, focusing on the connections among data objects. This allows a unstructured data to become structured as it is analyzed and connections across data objects are formed. Data from unstructured sources such as documents can then be more easily combined with structured forms of data, such as databases and webservices. The data within kHarmony™ can be queried in an almost unlimited number of ways. It can be used to explore data pathways within data, integration with inferencing tools, or a number of other traditional and experimental query methods.
Alitora’s text mining occurs in the Alitora Foundry technology extracts facts from documents. Approximately 80% of all information within a company is in the form of documents. The information about the contents of these documents are typically limited to author, date last modified, and a few other keywords or tags. Alitora’s Foundry extracts facts from these documents, not just key words.


