AI Based Help Bot For Information Retrieval From MOSDOC Using Knowledge Graph
Tejashree B. Pangare, Raj Patil, Harshad More, Aryan Patil
Open MIND
Problems Identified (5)
Domain-Specific Information Retrieval: The paper addresses the difficulty of accessing relevant and correct domain-specific Space Science information from large digital information stores and search engines.
MOSDAC Data Search: The paper targets intelligent search over MOSDAC meteorological and oceanographic satellite archival data.
Conversational Information Access: The paper identifies the need for information seeking that feels conversational and natural to users.
Domain-Specific Information Retrieval: The paper addresses the difficulty of accessing relevant and correct domain-specific Space Science information from large digital information stores and search engines.
MOSDAC Data Search: The paper targets intelligent search over MOSDAC meteorological and oceanographic satellite archival data.
Proposed Solutions (4)
AI Help Bot with Knowledge Graphs: The proposed solution is an AI-based help bot for intelligent MOSDAC search using knowledge graphs, NLP, and semantic search algorithms.
Adaptive Entity-Relationship NLP Bot: The bot system uses NLP techniques that understand relationships between entities and dynamic learning algorithms that adapt to updated database content.
AI Help Bot with Knowledge Graphs: The proposed solution is an AI-based help bot for intelligent MOSDAC search using knowledge graphs, NLP, and semantic search algorithms.
Adaptive Entity-Relationship NLP Bot: The bot system uses NLP techniques that understand relationships between entities and dynamic learning algorithms that adapt to updated database content.
Results (3)
Improved Information Accessibility:
Reduced Search Time:
No-Miss Intent-Aware Search:
Research Domain
Space science information retrieval / meteorological and oceanographic satellite data