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Information Retrieval Via Knowledge Graphs Developed for Aircraft Accidents Database and Aircraft Manuals

Implementing Organization

Indian Institute of Technology (IIT)
Principal Investigator
Prof. Pushpak Bhattacharyya
Indian Institute of Technology (IIT)

Project Overview

Knowledge Graphs are becoming increasingly important in knowledge and data management applications as they afford a semantic structure to the underlying data. They form crucial components of modern web search engines; state-of-the-art question answering systems and are used in a variety of applications especially in finance and healthcare. Knowledge Graphs give a method of representation of the contained knowledge in an interactive, learning and maintainable knowledge layer. Challenges are to tackle the end-to-end extraction and cognitive representation of documents in two related domains. The domains of interest in this project are Aircraft Accident Report Domain and the Aircraft Operational, Maintenance Manual Domain. The information in these domains is largely textual with images and tables. NLP Techniques can be exploited to organize information from these domains. One of the methods is to represent and organize information as knowledge graphs. The first phase of the project shall result in separate knowledge graphs in each domain – the Aircraft Accident Report Domain and the Aircraft/Subsystem Manual Domain. The second phase of the project shall attempt to build an information retrieval platform that would relate these two knowledge graphs for the given set of query/response evaluation sets or use the two knowledge graphs to generate common safety and operational insights for a given set or even generate a dashboard of major clusters of information. Phase 3 of the project shall explore optimization and pruning techniques and methods to add new data sets in both domains. The information retrieval platform will score some of the results of various algorithms and techniques based on a set of evaluation questions and answers. These methods and techniques could be used/reapplied for alternate domains like industrial safety, environment science, Transportation and many more. Honeywell, an industry partner shall benefit in using the information retrieval platform (The deliverable) in analyzing existing aircraft manual effectiveness related to safety domain information and derive strategies to improve safety and operational efficiency of their products, solutions or services via improvement of manuals, refinement in system design, training, maintenance or customer support procedures.
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Ministry of Education (MoE)
Quick Information
Area of Research
Computer Sciences and Information Technology
Focus Area
Development of Information Retrieval Platform
Start Year
2019
Sanction Amount
₹ 54.01 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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