activity
20202023
most citedBuilding Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies

6 citations · 9 across the 12 of their papers we have counts for

collaborators

13 papers

cs.DL2023★ 1 cited

Metadata for Scientific Experiment Reporting: A Case Study in Metal-Organic Frameworks

Xintong Zhao, Kyle Langlois, Jacob Furst +6

Research methods and procedures are core aspects of the research process. Metadata focused on these components is critical to supporting the FAIR principles, particularly reproduci…

cs.DL2023

Characterizing Semantic Ambiguity of the Materials Science Ontologies

Scott McClellan, Yuan An, Xintong Zhao +2

Growth in computational materials science and initiatives such as the Materials Genome Initiative (MGI) and the European Materials Modelling Council (EMMC) has motivated the develo…

cs.AI2023★ 1 cited

Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM

Yuan An, Jane Greenberg, Alex Kalinowski +6

We present a comprehensive benchmark dataset for Knowledge Graph Question Answering in Materials Science (KGQA4MAT), with a focus on metal-organic frameworks (MOFs). A knowledge gr…

cs.DL2022

Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework

Jane Greenberg, Scott McClellan, Xintong Zhao +6

Researchers across nearly every discipline seek to leverage ontologies for knowledge discovery and computational tasks; yet, the number of machine readable materials science ontolo…

cs.CL2022

Temporal Concept Drift and Alignment: An empirical approach to comparing Knowledge Organization Systems over time

Sam Grabus, Peter Melville Logan, Jane Greenberg

This research explores temporal concept drift and temporal alignment in knowledge organization systems (KOS). A comparative analysis is pursued using the 1910 Library of Congress S…

cs.AI2022

Exploring Wasserstein Distance across Concept Embeddings for Ontology Matching

Yuan An, Alex Kalinowski, Jane Greenberg

Measuring the distance between ontological elements is fundamental for ontology matching. String-based distance metrics are notorious for shallow syntactic matching. In this explor…

cs.AI2022★ 6 cited

Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies

Yuan An, Jane Greenberg, Xintong Zhao +9

Metal-Organic Frameworks (MOFs) are a class of modular, porous crystalline materials that have great potential to revolutionize applications such as gas storage, molecular separati…

cs.DL2022

MEDFORD: A human and machine readable metadata markup language

Polina Shpilker, John Freeman, Hailey McKelvie +7

Reproducibility of research is essential for science. However, in the way modern computational biology research is done, it is easy to lose track of small, but extremely critical,…

cs.DL2021

FAIR Metadata: A Community-driven Vocabulary Application

Christopher B. Rauch, Mat Kelly, John A. Kunze +1

FAIR metadata is critical to supporting FAIR data overall. Transparency, community engagement, and flexibility are key aspects of FAIR that apply to metadata. This paper presents Y…

cs.CL2021

Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences

Yuan An, Alexander Kalinowski, Jane Greenberg

Sentence embedding methods offer a powerful approach for working with short textual constructs or sequences of words. By representing sentences as dense numerical vectors, many nat…

cs.CL2021★ 1 cited

Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning

Xintong Zhao, Steven Lopez, Semion Saikin +2

Scientific literature is one of the most significant resources for sharing knowledge. Researchers turn to scientific literature as a first step in designing an experiment. Given th…

cs.DL2021

DARSI: An Ontology for Facilitating the Development of Data Sharing and Use Agreements

M. Greene, S. Grabus, J. Greenberg

The advantages of data sharing across organizations and disciplines are indisputable; although, sensitive and restricted data cannot be easily shared due to policies and legal matt…

cs.DL2020

The role of metadata in reproducible computational research

Jeremy Leipzig, Daniel Nüst, Charles Tapley Hoyt +3

Reproducible computational research (RCR) is the keystone of the scientific method for in silico analyses, packaging the transformation of raw data to published results. In additio…