Introduction to KnowledgeScope
The KnowledgeScope template is an innovative QualiWare Lifecycle Manager (QLM) tool designed to configure the Generative QualiAI. It is structured to streamline the process of creating intelligent and context-aware response diagrams. By leveraging the KnowledgeScope, businesses can harness the power of AI to generate diagrams that are not only accurate but also tailored to the specific nuances of their operations.
Key Features:
- Configurable Sections: The KnowledgeScope has configurable sections, such as AIKnowledgeScope, Context, Prompting, and Response, which allow you to determine the content of the diagrams created with the AI.
- AI-Driven Diagram Generation: Leverages QualiWare’s AI capabilities to produce diagrams informed by the context and prompting provided.
Section Details
KnowledgeScope
This primary section offers a succinct overview of the template’s purpose, along with a business definition and a selection of example diagrams for reference.
- Short Description: Concisely articulates the purpose of the KnowledgeScope.
- Business Definition: Provides a broad context of the business or a specific business space, if detailed in the definition.
- Example Diagram List: A curated list (recommended to be 1 or 2) of diagrams from your repository which exemplify the desired outcome, aiding the AI in context understanding.
Context
The Context section is the backbone of the template, influencing the AI’s understanding and generation process.
- Context Dropdown Menu: Offers four methods to establish context for content generation:
- Current Selected Object: Targets the object currently selected in the web-modeler.
- Current Diagram: Utilizes the open diagram in the current tab.
- Select from List: Employs the selected context from the “Link Context” function.
- Context Undefined: Provides flexibility for open context definition via text input or object selection.
- Context Templates Text Field: Lists available templates serving as potential context sources for the KnowledgeScope.
- Knowledge Structure: Comprises two subfields—Ontology and Root Definition
- Ontology: This field is dedicated to defining the ontology that governs the data to be accessed from the Context Templates. Users should link to a pre-defined ontology, using the template “OntologyDiagram:owl” in QualiWare. This format helps the AI understand what data is relevant and should be considered during the generation process. For example, if using the BusinessProcess template, the Ontology field should point to an ontology diagram that outlines the necessary data to be accessed from the BusinessProcess context.
- Ontology Example: ‘BusinessProcess’ The accompanying image illustrates an ontology with ‘BusinessProcess’ as the root. Use this as a guide to link your context templates to your ontology. Proper linkage ensures that AI-generated content aligns with your business framework.
- Root Definition: Root definition is crucial as it marks the starting point for the AI’s data extraction from the ontology. When multiple context templates are used, there must be a corresponding root for each, and all roots should be contained within the same diagram. This ensures that the AI has a clear entry point to begin its contextual data interpretation for each template. The roots collectively form a map of data points that the AI uses to extract information relevant to the generation of the new content.
Prompting
This section allows users to input additional knowledge characteristics and set the randomness level of AI responses.
- Additional Knowledge Characteristics: This section directs the AI in creating diagrams that align with specific organizational standards. For clarity and precision, input concise directives. For example:
- Diagram Initiation: “Begin and end WorkFlowDiagrams with a Business Event.”
- Naming Conventions: “Use concise, descriptive naming for all symbols.”
These instructions shape the AI’s output, ensuring it meets your defined criteria and maintains consistency with your organization’s practices.
- Randomness (Temperature): A dropdown to adjust the AI’s creativity level, with a recommended default of 0.3 for diagram creation.
- Knowledge Prompts: A collection of pre-defined AI query templates, that you have created, used to standardize rules or commands across various KnowledgeScopes.
Template Naming Conventions
Proper naming of templates is critical for ensuring seamless functionality within the KnowledgeScope. Adhering to QualiWare’s naming conventions allows the AI to accurately recognize and apply the correct templates during diagram generation. Here’s what to keep in mind:
- Exact Match Requirement: Name all templates precisely as they appear in QualiWare, with correct capitalization and spacing. For example, use “WorkFlowDiagram,” not “workflow diagram” or “Work Flow Diagram.”
- Consistency Is Key: Uniform naming across all sections of KnowledgeScope ensures that the AI correctly interprets and utilizes the templates.
- Verification: Double-check template names for typos or discrepancies before finalizing the KnowledgeScope configuration.
Accurate template naming enables the AI to understand and execute your instructions effectively, ensuring the generated diagrams meet your exact specifications.
Response
The final section defines the desired outcome from the AI’s generation process.
- Response Type: Specifies the format of the AI’s output, e.g., “Diagram with objects.”
- Response Diagram Type: Indicates the template to be used for the response diagram, e.g., “WorkFlowDiagram,” with strict adherence to QualiWare naming conventions.
- Response Symbols & Connection Types: Defines the elements to be used within the generated diagram.
- Response Diagram Layout: Determines the presentation style of the generated diagram.
- Response Template Descriptions: Provides a detailed description of the diagram and its components, with more emphasis on lesser-known templates.
- Response Ontology: An ontology that guides the appearance and structure of the response diagram.
Utilization Guide
This template is structured for ease of use, guiding users through a step-by-step configuration for the Generative QualiAI. For precise diagram generation, it is recommended to provide detailed and accurate information in each section, aligning closely with your business’s operational context and requirements.