Difference between revisions of "Knowledge Graph Platform with Percuro"
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* Empowering machine learning (ML) & NLP techniques with domain knowledge | * Empowering machine learning (ML) & NLP techniques with domain knowledge | ||
| + | =Goals & Use-Cases= | ||
The goals of KGs are to provide | The goals of KGs are to provide | ||
* Contextualization | * Contextualization | ||
| + | ** [https://www.google.com/url?q=https://www.semanticscholar.org/paper/Context-Enriched-Learning-Models-for-Aligning-in/650e79de9f4a4a123d559240387db0e3c3d1f867&sa=D&source=editors&ust=1654007896106276&usg=AOvVaw2iUUH6T-CCQl6mV6oNlmMN Context-Enriched Learning Models for Aligning Biomedical Vocabularies in the UMLS Metathesaurus] | ||
* Personalization | * Personalization | ||
* Abstraction | * Abstraction | ||
| + | * Explainability | ||
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| + | =Objectives= | ||
| + | Most existing KG platforms & tools are limited in | ||
=Overview= | =Overview= | ||
Revision as of 13:42, 31 May 2022
Contents
[hide]Background and Motivation
The AIISC Knowledge Graph (KG) effort involves the development of a comprehensive tool and platform for KG development. Percuro is a collaborative research project involving WIPRO, The AI Institute at University of South Carolina (AIISC), and IIT-Patna (IIT-P). It involves development of semantic (i.e., knowledge graph enhanced) approach to natural language processing (NLP), natural language generation (NLG) and natural language understanding (NLU) targeted at the pharmaceutical domain. It will involve techniques for NLP/NLG/NLU on biomedical and clinical documents relevant to pharmaceutical markets.
Knowledge Graph (KG) is an encapsulation of structured knowledge in a graphical representation & used for a variety of information processing and management tasks such as
- Question answering
- Summarization
- Text simplification
- Named Entity Recognition (NER)
- Data & knowledge integration from diverse sources
- Improve automation
- Enabling new generation of applications
- Empowering machine learning (ML) & NLP techniques with domain knowledge
Goals & Use-Cases
The goals of KGs are to provide
- Contextualization
- Personalization
- Abstraction
- Explainability
Objectives
Most existing KG platforms & tools are limited in
Overview
GitHub
Demo
People
- Artificial Intelligence Institute, University of South Carolina
