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Knowledge Bases

Our knowledgebases are curated by our novel cybernetic platform and includes relevant items (such as genes, diseases, drugs, etc.) in a specific disease area or medical topic.

One advantage of using knowledgebases is the ability to analyze diverse types of data and relationships. Ingentium offers multiple ways of viewing this information, including knowledge graphs and magazines.

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Knowledge Graph Scaffold

Ingentium is offering our Biomedical Knowledge Graph Scaffold, which contains over 50 Million nodes and edges, representing 35 different node types and 20 different edge types.This scaffold spans the biology and chemistry of known human and model organism biological and medical knowledge.

The Ingentium biomedical Knowledge graph Scaffold is the perfect  starting point for your own custom knowledge graph development.  It can be augmented with internal content and data, as well as with network content and data.  Let Ingentium jumpstart your knowledge graph development efforts by providing the underlying graph infrastructure and data so you can concentrate on what makes your custom knowledge graph unique.

Take advantage of this crucial starting point to generate your own knowledge graphs specific to your organization’s interests.

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Knowledge Graphs

A knowledge graph is a semantic network for representing knowledge in patterns of interconnected nodes and edges, where nodes represent objects or concepts, and edges represent relationships.

Starting with our expansive Medical Knowledge Graph Scaffold, Ingentium can construct a disease- or topic-based knowledge graph specific to your organization, saving you time and processing costs.

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Ingentium offers well curated, timely, easy-to-access media focused on specific disease areas to the patient, physician, and healthcare community.

Articles, videos, and more, are accessible on major media platforms including Apple News, Flipboard, Twitter, and via RSS feeds.

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About Knowledge Science


Knowledge science is the study of knowledge formation and communication processes in organizations from
a socio-scientific perspective. Knowledge science investigates decision-making in groups from the viewpoint of cognitive science, and establishes information systems that support the creation and utilization of knowledge.

——— The 4 Components of Knowledge Science: ———

Knowledge Technology

Encompassing classification, representation, modeling, identification, acquisition, searching, organization, storage, conversion, and dissemination.

Knowledge Management

Which covers three different, yet related, areas: knowledge assets, knowing processes, and knower relations.

Knowledge Discovery & Data Mining

Which combines databases, statistics, machine learning, and related areas to discover and extract valuable knowledge from large volumes of data.

Knowledge Synthesis

Involving knowledge justification and knowledge construction, which are important in solving real-life problems.