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The Science Discovery Engine: Leveraging an Insight Engine Capability to Enable Scientific Search
Kaylin Bugbee;Ashish Acharya;Emily Foshee;Muthukumaran Ramasubramanian;Carson Davis;Bishwas Praveen;Kartik Nagaraja;Tarun Misra;Shravan Vishwanathan;Stephanie Wingo;Nikita Balsara;Xiang Li;Meghna Okhade;Justin John
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Year: 2024 | Conference Paper |
NASA has created the Science Discovery Engine, a search capability built using insight engine technology, to enable discovery of NASA’s open science data and information. In this paper, we present the SDE architecture and curation methodology developed using an insight engine capability. We also share our progress to date, lessons learned implementing an insight engine capability and planned futur...Show More
The Science Discovery Engine: Leveraging an Insight Engine Capability to Enable Scientific Search
Kaylin Bugbee;Ashish Acharya;Emily Foshee;Muthukumaran Ramasubramanian;Carson Davis;Bishwas Praveen;Kartik Nagaraja;Tarun Misra;Shravan Vishwanathan;Stephanie Wingo;Nikita Balsara;Xiang Li;Meghna Okhade;Justin John
Year: 2024 | Conference Paper |
Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework
Kaylin Bugbee;Rahul Ramachandran;Aaron Kaulfus;Jeanne Le Roux;Ge Peng;Deborah Smith;Iksha Gurung;Ashish Acharya;Jerika Christman
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Year: 2024 | Conference Paper |
As scientific data volumes exponentially grow, dynamic, flexible and open approaches to data governance are needed. In this paper, we describe our efforts to build an open, scientific Modern Data Governance Framework (mDGF) that streamlines and makes actionable data governance requirements for projects and data providers. We present the goals and design of the mDGF. We also share our envisioned us...Show More
Navigating the Web of Disinformation and Misinformation: Large Language Models as Double-Edged Swords
Siddhant Bikram Shah;Surendrabikram Thapa;Ashish Acharya;Kritesh Rauniyar;Sweta Poudel;Sandesh Jain;Anum Masood;Usman Naseem
This paper explores the dual role of Large Language Models (LLMs) in the context of online misinformation and disinformation. In today’s digital landscape, where the internet and social media facilitate the rapid dissemination of information, discerning between accurate content and falsified information presents a formidable challenge. Misinformation, often arising unintentionally, and disinformat...Show More
IoT-Based Efficient Storage System for Sustainable Agriculture
Ashwini Gajarushi;Ashish Acharya;Puja Banerjee;Tabassum Shaikh;Raj Ladha;Rutvik Vasani;Niraj Dalal;Satya Aditya;Sachin Paramane;Bhushan Bibwe;Maryam Shojaei Baghini
The integration of real-time sensing via Internet of Things (IoT) technology has paved the way for innovative solutions to address various crucial challenges in agriculture. One such challenge is the effective management of agricultural storage facilities for reducing the spoilage and storage losses prone to happen during the storage of farm produce such as onions, potatoes, fruits like mangoes. T...Show More
Selecting Approaches for Enabling Enterprise Data Search: NASA's Science Mission Directorate (SMD) Catalog
Kaylin Bugbee;Rahul Ramachandran;Ashish Acharya;Dai-Hai Ton That;John Hedman;Ahmed Eleish;Charles Driessnack;Wesley Adams;Emily Foshee
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Year: 2022 | Conference Paper |
Cited by: Papers (2)
NASA's Science Mission Directorate (SMD) is working to build an open-source science infrastructure to accelerate open, collaborative and interdisciplinary science. One key component in the open-source science infrastructure is the SMD data catalog. In this paper, we present our process for selecting a technical approach to building a NASA SMD enterprise-wide integrated search capability for scienc...Show More
A Quantitative Analysis on the Use of Supervised Machine Learning in Earth Science
Katrina Virts;Ashlyn Shirey;George Priftis;Kumar Ankur;Muthukumaran Ramasubramanian;Hassan Muhammad;Ashish Acharya;Rahul Ramachandran
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Year: 2020 | Conference Paper |
Cited by: Papers (7)
Recent review papers have discussed the opportunities and challenges of applying machine learning (ML) techniques to Earth science data. A common challenge cited in these papers is the lack of labeled training data. A literature review of Earth science papers over the last 10 years demonstrates that while there is rapid adoption of ML, particularly in biogeoscience and land surface research, the t...Show More
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