Ingentium D3K™ - Deep, Dynamic Diseases-Focused Knowledgebases

The Ingentium Knowledge Platform™ (IKP™) is a cloud-based infrastructure that serves as a knowledge hub and facilitates access to all organizational information to enable Big Data analytics. IKP employs leading edge semantic and cognitive technologies as well as cutting edge development architecture to facilitate integration for decision support and knowledge management across all areas of the enterprise. Additionally, by virtue of its highly modular architecture, IKP™ also serves as an enterprise development platform for automating scientific, business, and collaborative applications.

IKP™ provides the capability to create information commons that provide query, browsing and analysis capabilities focused on specific disease areas and health related topics.  In addition, from the one or more information commons, knowledge networks can be assembled to offer unparalleled views with query and analysis of broad collections of information across multiple data types.

IKP™ operates from a “Big Data” perspective. This means the infrastructure is cloud-based and both compute and storage are independently scalable in response to load. From an architectural perspective, IKP™ is an extreme articulation of a service-oriented architecture in that all communication between ILP™ and other media sources is carried out via RESTful API calls. IKP™ takes this a step further by introducing fault tolerance through a pull-only communication scheme. Finally, IKP™ takes a very different approach in terms of data integration; it integrates semantically and cognitively as opposed to integrating by data structure relations. The usage of semantic integration allows the user to retrieve information from a pool that is broader and deeper than through relational methods, and the information returned is of higher quality, sensitivity, and selectivity. In a nutshell, you get the all information you need from all facets of your organization to support your decision.

Knowledge Networks are created by identifying connections between specific items in the Data Classes listed above that represent their relationships (edges).