Core 2: Knowledge Engineering Tool

Objective

The main objective of Knowledge Engineering Tool is to facilitate the physicians for creating shareable and interoperable knowledge. It provides evidence and dialogue based knowledge engineering system to facilitate the physicians to create, verify, validate, and manage the knowledge base using multimodal knowledge resources and diverse communication ways.

Features

The primary feature of Knowledge Engineering Tool to evolve the knowledge of a medical platform to generate up to date recommendation to the end users using the state-of-the-art knowledge resource and natural language conversation technologies. It has following features:

• To facilitate domain experts with base-line knowledge acquired from existing practice data sets and their experiences and heuristics.
• To facilitate the physicians for verifying and validating the extracted knowledge from structured and unstructured data.
• To equip the platform with Intelligent Knowledge Engineering Tool (Rule Editor and Rule Compiler) to author sharable and interoperable knowledge base
• To facilitate users (patients and physicians) to dialogue with the system using multimodal (text, voice, and image) dialogue interface
• To provide execution environment with Inference Engine supporting Rule-based Reasoner and case based reasoning.
• To facilitate ontological modeling for Intent identification from the dialogue between user and system
• To design SPARQL queries to interact with Ontological Model for text/speech based dialogue process

Uniqueness & Contribution

• Semantic Reconciliation model to generate interoperable knowledge
• Automatic generation of Medical Logic Module
• Facilitates MLM (Medical Logic Module) based knowledge base maintenance
• Enlist Highly Relevant Evidence against a user provided natural language query
• Select High Quality evidentiary documents based on novel statistical models
• Intent Recognition
• Context Aware Dialogue Management