Periodic Reporting for period 1 - kANNa (Knowledge graph completion using Artificial Neural Networks for Herb-Drug Interaction discovery)
Reporting period: 2019-04-01 to 2021-03-31
The main objective of the kANNa project is to automatically extract facts about herb-drug interactions from unstructured text through information extraction, combining and linking extracted information with rich information already available in general-purpose and domain-specific knowledge bases. To achieve this, the kANNa research program pursues the following measurable objectives: (i) Integrate information extraction into the process of monitoring herb-drug interactions from medical literature; (ii) Enhance additional knowledge acquisition from sparse, incomplete, and unreliable evidence; (iii) Provide support for clinical decision making and promote collaboration and reuse over the acquired knowledge base.
An interactive visual interface was developed showing side by side two hierarchies and matching elements between those hierarchies. This prototype allows users to search and explore interactions between foods or plants and drugs.