OVERVIEW
Virtual Assistants
Kore.ai Platform
Key Concepts
Natural Language Processing (NLP)
Accessing Platform
VIRTUAL ASSISTANTS
Virtual Assistant Builder
Virtual Assistant Types
Getting Started
Creating a Simple Bot
SKILLS
Storyboard
Dialog Task
Introduction
Dialog Builder (New)
Dialog Builder (Legacy)
User Intent Node
Dialog Node
Entity Node
Supported Entity Types
Composite Entities
Supported Colors
Supported Company Names
Form Node
Logic Node
Message Nodes
Confirmation Nodes
Bot Action Node
Service Node
Custom Authentication
2-way SSL for Service nodes
Script Node
Agent Transfer Node
WebHook Node
Grouping Nodes
Connections & Transitions
Manage Dialogs
User Prompts
Knowledge Graph
Terminology
Building
Generation
Importing and Exporting
Analysis
Knowledge Extraction
Build
Alert Tasks
Introduction
Ignore Words and Field Memory
How to Schedule a Smart Alert
Small Talk
Digital Views
Overview
Configuring Digital Views
Digital Forms
Overview
How to Configure Digital Forms
NATURAL LANGUAGE
Overview
Machine Learning
Introduction
Model Validation
Fundamental Meaning
Introduction
NLP Guidelines
Knowledge Graph
Traits
Introduction
How to Use Traits
Ranking and Resolver
Advanced NLP Configurations
INTELLIGENCE
Overview
Context Management
Overview
Session and Context Variables
Context Object
How to Manage Context Switching
Manage Interruptions
Dialog Management
Sub-Intents & Follow-up Intents
Amend Entity
Multi-Intent Detection
Sentiment Management
Tone Analysis
Sentiment Management
Event Based Bot Actions
Default Conversations
Default Standard Responses
TEST & DEBUG
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
CHANNELS
PUBLISH
ANALYZE
Overview
Dashboard
Custom Dashboard
Overview
How to Create Custom Dashboard
Conversation Flows
NLP Metrics
ADVANCED TOPICS
Universal Bots
Overview
Defining
Creating
Training
Customizing
Enabling Languages
Store
Smart Bots
Defining
koreUtil Libraries
SETTINGS
Authorization
Language Management
PII Settings
Variables
Functions
IVR Integration
General Settings
Management
Import & Export
Delete
Versioning
Collaborative Development
Plan Management
API GUIDE
API Overview
API List
API Collection
SDKs
SDK Overview
SDK Security
SDK App Registration
Web SDK Tutorial
Message Formatting and Templates
Mobile SDK Push Notification
Widget SDK Tutorial
Widget SDK – Message Formatting and Templates
Web Socket Connect & RTM
Using the BotKit SDK
Installing
Configuring
Events
Functions
BotKit SDK Tutorial – Agent Transfer
BotKit SDK Tutorial – Flight Search Sample Bot
Using an External NLP Engine
ADMINISTRATION
HOW TOs
Creating a Simple Bot
Creating a Banking Bot
Context Switching
Using Traits
Schedule a Smart Alert
Configure UI Forms
Add Form Data into Data Tables
Configuring Digital Views
Add Data to Data Tables
Update Data in Data Tables
Custom Dashboard
Custom Tags to filter Bot Metrics
Patterns for Intents & Entities
Build Knowledge Graph
Global Variables
Content Variables
Using Bot Functions
Configure Agent Transfer
Update Balance Task
Transfer Funds Task
RELEASE NOTES
  1. Home
  2. Docs
  3. Virtual Assistants
  4. Builder
  5. Knowledge Graph
  6. Importing and Exporting Bot Ontology

Importing and Exporting Bot Ontology

You can build a Knowledge Graph in a CSV or JSON file and upload it to a bot. Similarly, you can export the existing Knowledge Graph to CSV or JSON. Exporting a Knowledge Graph helps you edit it in a spreadsheet or import it to another Bot.

There is a platform restriction of a maximum of 50k FAQs spread across a maximum of 20k nodes. Import of files exceeding these numbers is rejected.

Importing Knowledge Graph

  1. Open the bot where you want to import the KG and select the Build tab.
  2. On the left pane, click Conversational Skills > Knowledge Graph.
  3. You can find the Import option on the respective Knowledge Graph.
  4. Click Import.
  5. On the Import dialog box, do one of the following:
    • If you are creating the Knowledge Graph from scratch, click Proceed.
      (or)
    • If you have an existing Knowledge Graph, make sure to take a backup of the same to a CSV or JSON file, and then Proceed.
      Note: Importing a Knowledge Graph does not update it but replaces the entire existing Knowledge Graph.
  6. Drag and drop the file in the Import window or click Browse to locate the file.
  7. Click Next to begin the import.
  8. After the import is complete, the success message appears in a dialog box. Click Done.
  9. The hierarchy is displayed in the Knowledge Graph and you can edit and train the same.

Exporting Knowledge Graph

To export a Knowledge Graph, follow the below steps:

  1. On the left pane, click Conversational Skills -> Knowledge Graph.
  2. You can find the Export option on the respective Knowledge Graph.
  3. Based on the preferred format: click Export JSON or Export CSV.
  4. The Knowledge Graph file is downloaded to your machine.

Creating a Knowledge Graph

Instead of creating the Knowledge Graph from the platform UI, you can work in your preferred editor like Spreadsheet or as a JSON file. The platform gives you the option to create a Knowledge Graph in a spreadsheet or JSON and use the same to import it into the bot.

To import, follow the below steps:

  1. Download sample CSV or a JSON file. You can download these sample files from a blank Knowledge Graph too.
  2. Edit the file by adding rows corresponding to the questions, responses, synonyms, etc.
  3. Import the file to your bot.

From a CSV File

You can create the Knowledge Graph using a sample spreadsheet that you can download from the bot. If you anticipate frequent changes to the Knowledge Graph, we recommend you to create it in a spreadsheet as it is easier to perform bulk updates compared to the application UI.

Follow the instructions below to build your Knowledge Graph in a spreadsheet.

Download the Sample CSV file

  1. On the left pane, click Bot Tasks > Knowledge Graph.
  2. You can find the Import option on the respective Knowledge Graph.
  3. You are prompted to back up the Knowledge Graph before proceeding. Choose the CSV or JSON format for the backup.
  4. After backup, click Proceed.
  5. On the corresponding dialog box, click Sample CSV. The CSV file is downloaded to your local computer.

Build the Knowledge Graph in a CSV

The format for the CSV file includes details regarding alternate answers, extended responses, and advanced responses.

  • The following types of entries are supported:
    • Faq – The leaf level nodes with questions and answers.
    • Node – For node/tags, traits, preconditions, and output context.
    • Synonyms
    • KG Params
    • Traits
  • Each of the above categories needs to be preceded by the appropriate header.
  • The header helps identify the new vs old versions of the JSON file by the platform.

The following is the detailed information for each section and the content expected for each.

FAQ

This contains the actual questions and answers along with the alternate questions, answers, and extended answers.

Following are the column-wise details that can be given:

  • Faq – Mandatory entry in the header, must be left blank in the following rows.
  • Que ID – The question ID generated by the platform for each question.
  • Path – To which the FAQ belongs
    • Mandatory node names must be prefixed with ** and organizer nodes with !!
  • Primary Question – The actual question user might ask: When left blank, the entry in the Answer column is considered as the alternative answer to the previous primary question.
  • Alternate Question – Optional: Alternate question to the primary question if there are multiple alternate questions, they must be given in multiple rows.
  • Tags – For each question or alternate question.
  • Answer – Answer to the question serves as an alternate answer when the primary question field is left blank. Answer format can be:
    • Plain text
    • Script with SYS_SCRIPT prefix i.e. SYS_SCRIPT <answer in javascript format>
    • Channel-specific formatted response when prefixed with SYS_CHANNEL_<channel-name>, the answer can be simple or in script format:
      • SYS_CHANNEL_<channel-name> SYS_TEXT <answer>
      • SYS_CHANNEL_<channel-name> SYS_SCRIPT <answer in javascript format>
    • Trigger a dialog then prefix with SYS_INTENT i.e. SYS_INTENT <dialog ref id>
  • Extended Answer-1: Optional to be used in case the response is lengthy.
  • Extended Answer-2: Optional to be used in case the response is lengthy.
  • ReferenceId – reference to any external content used as a source for this FAQ
  • Display Name – The name that would be used for presenting the FAQ to the end-users in case of ambiguity.

Nodes

This section includes settings for both nodes and tags.

  • Node – Mandatory entry in the header must be blank in the following rows.
  • Que ID – Mandatory when specifying settings for tags, leave blank for nodes.
  • Nodepath – Path for reaching the node/tag.
  • Tag – Mandatory for tag settings, leave blank for node.
  • Precondition – For qualifying this node/tag.
  • outputcontext – Context to be populated by this node/tag.
  • Traits – for this node/tag.

Synonyms

Use this section to enter the synonyms as key-value pairs.

  • Synonyms – Mandatory entry in the header, must be blank in the following rows.
  • Phrase – for which the synonym needs to be entered.
  • Synonyms – Comma-separated values.

Use of bot synonyms in KG term identification can be enabled using the following:

  • confidenceConfigs – Mandatory entry in the header, must be blank in the following rows.
  • parameter – useBotSynonyms in this case
  • value – true or false

KG Params

  • KG Params – mandatory entry in the header, must be blank in the following rows.
  • lang – Bot language code. For example, en for English.
  • stopwords – Comma-separated values.

Traits

Trait related information can be specified as follows:

  • Traits – Mandatory entry in the header, must be blank in the following rows.
  • lang – Bot language code. For example, en for English.
  • GroupName – Trait group name.
  • matchStrategy – Pattern or probability (for ML-based).
  • scoreThreshold – Threshold value (between 0 and 1) when the matchStrategy above is set to ML-based.
  • TraitName – The name of the trait.
  • Training data – Utterances for the trait.

For Taxonomy Based KG, the following fields can be included if there are one or more faqs linked to another faq in the KG. :

  • faqLinkedTo – To identify source faq.
  • faqLinkedBy – To identify linked faqs.
  • isSoftDeleted – To identify faq is deleted but it has some linked faqs.

From a JSON file

Kore.ai allows you to create the Knowledge Graph in JSON and upload it. You can download a sample JSON from the bot to understand its structure.

Follow the instructions below to build your Knowledge Graph using JSON:

Downloading the JSON sample

  1. On the left pane, click Conversational Skills –> Knowledge Graph.
  2. You can find the Import option on the respective Knowledge Graph.
  3. You are prompted to back up the Knowledge Graph before proceeding. Choose the CSV or JSON format for the backup.
  4. After backup, click Proceed.
  5. On the corresponding dialog box, click Sample JSON. The JSON file is downloaded to your local computer.

JSON Reference

Property Name Type Description
FAQ Array Consists of the following:

  • Question
  • Answer
  • Leaf and parent terms up to the First-level node in the path
  • Alternative question
Question String Primary question; included in the FAQ array.
Answer String Bot response; included in the FAQ array.
Terms Array Includes the leaf node to which the question is added, and its parents up to the First-level node.
refId String Optional reference to any external content used as a source for this FAQ
Alternate Questions Array Consists of alternative question and terms. Include terms from leaf to the First-level node.
Synonyms Object Consists of arrays of terms and their synonyms.
Unmappedpath Array Consists of arrays of nodes that do not have any questions, and all their parents up to the First-level node.
Traits Object Consists of trait names as keys and an array of utterances as values.

For Taxonomy Based KG, the following fields can be included if there are one or more faqs linked to another faq in the KG. :

  • faqLinkedTo – To identify source faq.
  • faqLinkedBy – To identify linked faqs.
  • isSoftDeleted – To identify faq is deleted but it has some linked faqs.
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