Support Articles For AXON

Dynamic Knowledge Graph Application

Axon enables derivation of dynamically generated knowledge graphs directly from integrated data and documents sources integrated in a Layar Data Fabric.

Find more support in our help center about:

  • The Basics of Axon
  • Narrowing Down Results with Filters
  • Understanding Evidence View & Supporting Documents

Understanding Evidence View in Axon

What is Evidence? Evidence is the collection of documents and data used by the models when generating answers to your natural language query. When a user asks a question in Axon, the knowledge graph populates answers to this query as individual nodes in the knowledge graph. Each node on your knowledge graph can be considered […]

How to View Evidence

The Evidence View provides all of the data and used in Vyasa’s deep learning algorithms to answer your natural language query. Here’s how you can view what supporting documents are the evidence for a question or specific answer. Viewing the Evidence Tab Click on the node of interest. This node can be either a question […]

Clear Filters

After selecting the filters you are interested in, you may wish to clear all of the filters and review the original knowledge graph. Here’s how: In the top right of your knowledge graph, there is a box with all of the current “Active Filters“. Click the “Clear Filters” button. All filters will be removed from […]

Filter by Data Provider

If you have asked a series of questions in Axon, it’s likely that your knowledge graph has become cluttered with answers. Search for answers that exist in a specific subset of data providers from your data fabric (PubMed, Clinical Trials, Patents, etc.). Show Answers That Are Common Between One or More Questions Ask multiple questions […]

Filter With Ontologies

If you have asked a series of questions in Axon, it’s likely that your knowledge graph has become cluttered with answers. If you would like to narrow down your results to only those defined in an ontology, follow these steps. Ask multiple questions in the search bar. Once the answer nodes have populated the knowledge […]

Filter By Keyword Terms

If you have asked a series of questions in Axon, it’s likely that your knowledge graph has become cluttered with answers. Search for a specific term of interest with the following steps. Show Answers That Are Common Between One or More Questions Ask multiple questions in the search bar. Once the answer nodes have populated […]

Adding Top Related Concepts to Graph

For starters, let’s get you familiar with some of the terms we are using. NER is an acronym for Named Entity Recognition, which is a deep learning text analytics subdomain where terms and phrases are identified within text and classified into categorical (aka entity) types (proteins, cell lines, diseases, etc.). Read more about the benefits […]

Tips for Asking Natural Language Questions

Why do these make a huge difference in the quality of results? Although our elastic search tries to find appropriate evidence from query understanding, our transformer-based models are semantics driven, and fed the exact query as written. Tips 1 and 2 are central to getting good results consistently. The remaining tips can help users format […]

Getting Started – Asking Questions in Axon

Users can ask questions in the search bar that will return real time answers to questions from sources within your data fabric. When a question is asked, it will create a node with the question, and answer nodes will appear and connect to it. Type a starter question into the search bar at the top […]

What is Axon

A knowledge graph application that enables derivation of dynamically generated knowledge graphs directly from integrated data and document sources integrated in a Layar Data Fabric.