Getting Started Step 1. Click the “Ontologies” subsection under your “Data Catalog” menu, located on the left-hand side of your Layar home page. Step 2. Click the ontology name to see the Ontology View for that ontology, with the terms, synonyms, and related metadata. Step 3. Search andclick on a term to see its references, […]

Identifying a document ID or data source is useful for both search and API calls. Below is a step-by-step guide for identifying both via the Layar interface. Identifying a Document ID 1. Select a document from the Layar data catalog. 2. Click the three-dot menu on the right-hand side of the Layar document view. 3. […]

How to use Vyasa Layar’s automated table extraction feature. Step 1: Click the “View Original” menu item from the Three Dot menu in the upper left hand corner of the Document view. Step 2: Navigate to the page with the table you are interested in extracting. Click and Drag a box to fit around the […]

While Layar can handle keyword and boolean search, we find it helpful to provide an overview of boolean operators to enhance your Layar search experience.  What are Boolean Operators?  If you have ever Googled something, you have already created Boolean search strings. If you use it without realizing it, you can learn a few Boolean […]

Support documentation covering updates, bug fixes, and new software features for Vyasa Layar. Vyasa Layar 2.60.0 September 2022 What’s New Automated Language Detection! Every document indexed with Layar is now run through our language detection model to identify the language used in the text. This prediction is then tagged as an annotation on the document […]

How to Effectively Use Vyasa’s QA Features

How to generate your own Layar API keys within Layar. Step 1. Click the three dot icon located in the top left of the Layar home page. Step 2. Select “Generate API Access Token“. Step 3. Click “Generate Access Keys” to confirm. Step 4. Save your access keys somewhere safe where you can reference them […]

A list of all ontologies currently available off-the-shelf in Vyasa products. Table of Available Ontologies Ontology Acronym Author Version Last Updated Current Procedural Terminology CPT American Medical Association (AMA) 2020AB 01/06/2021 Experimental Factor Ontology EFO EMBL’s European Bioinformatics Institute (EMBL-EBI) 3.39.1 02/24/2022 Foundational Model of Anatomy FMA NIH NLM’s Unified Medical Language System (UMLS) 5.0.0 […]

Understanding how NER concepts facilitate your analyses. NER, or Named Entity Recognition, is a deep learning text analytics subdomain where terms and phrases are identified within unstructured text and classified into categorical (aka entity) types (e.g. proteins, cell line, disease, companies, etc.). We use NER tagging to create NER Concepts, which appear in several areas […]

A quick guide on how to upload your own ontologies into Vyasa Layar for implementation. Table-Based Files (.csv, .xls, etc) Step 1. Add your ontology file to Layar using one of your connectors (or local upload). The ontology file can be any table-based file (for example, .csv, .tsv, .xls, etc are all compatible). The system […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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.

Expanded terms within Radar have different options as well. Clicking the 3 dot symbol to the right of the related term allows you to: View Evidence Search the Web Copy to Clipboard

Highlight a cell or multiple cells you would like to find related terms for.  Right click the cell(s) and click the Radar – Expand Terms button from the drop down menu or click the radar tab from the right menu bar represented by a radar symbol.  3. Determine what related terms from the index you […]

Users have different options and combinations of options when sorting the Radar Tab Proximity – Users can filter proximity by most closely related (down arrow) and least likely related (up arrow) to represent related terms and their relation to the cell that was selected. Trending – This filter will show the relation between related terms […]

Below are the different filter options for Radar Tab Click the filter button at the top of the radar tab represented by a funnel icon  The Search Bar allows users to search for specifics in the related terms list  Source Filter enables users to select what sources within Synapse they would like to filter the […]

The Radar tab assists users in finding contextually similar terms to highlighted terms in their table based on current sources in the system. From this section, users can also search the web and view evidence for expanded terms in the list. For example, add the term ‘headache’ to a cell in your table and find […]

Click the Data Sources tab on the right menu bar on the home screen. Scroll down to the User Upload Section. Drag and Drop an accepted file type (.pdf, .doc, .docx) anywhere into Synapse to add the file to sources.

Highlight the cell(s) you would like to search within the Evidence Tab.  Click the Evidence Tab or right click the cell(s) and select View Evidence from the drop down menu.  Click the Filter button at the top right of the evidence tab represented by a funnel symbol.  Filter by Standard, User or User Uploaded Sources […]

Users have different options within individual articles in the evidence tab. Open Abstract – Users can click on an individual article/source and it will open an enlarged abstract within the evidence tab. View Website – Click the blue view website button, this will open a separate tab within your web browser of the article. 3. […]

Open the Evidence Tab from a term within your Workspace.  Within an article/evidence highlight the word(s) that you would like to add to your smart table as a term. Beneath the highlighted term, a blue “+” button will appear. Click the “+” button . A drop down menu will appear. Choose the column header that […]

Click on the individual cell you would like to learn more information about.  Click the Detail tab on the right menu bar of your screen represented by an “i” symbol.  Choose from the three blue highlighted options of – View Evidence, Search Web, and Wikipedia   Clicking View Evidence will open the evidence tab – […]