An ontology-enabled natural language processing pipeline for provenance metadata extraction from biomedical text (short paper)

J Valdez, M Rueschman, M Kim, S Redline… - On the Move to …, 2016 - Springer
Extraction of structured information from biomedical literature is a complex and challenging
problem due to the complexity of biomedical domain and lack of appropriate natural …

Provenance for biomedical ontologies with RDF and Git

MR Stöhr, A Günther, RW Majeed - German Medical Data …, 2019 - ebooks.iospress.nl
Abstract The German Center for Lung Research (DZL) is a research network with the aim of
researching respiratory diseases. In order to enable consortium-wide retrospective research …

An extensible ontology modeling approach using post coordinated expressions for semantic provenance in biomedical research

J Valdez, M Rueschman, M Kim… - On the Move to …, 2017 - Springer
Provenance metadata describing the source or origin of data is critical to verify and validate
results of scientific experiments. Indeed, reproducibility of scientific studies is rapidly gaining …

Classification of provenance triples for scientific reproducibility: A comparative evaluation of deep learning models in the ProvCaRe project

J Valdez, M Kim, M Rueschman, S Redline… - … and Annotation of Data …, 2018 - Springer
Scientific reproducibility is key to the advancement of science as researchers can build on
sound and validated results to design new research studies. However, recent studies in …

ProvCaRe: characterizing scientific reproducibility of biomedical research studies using semantic provenance metadata

SS Sahoo, J Valdez, M Kim, M Rueschman… - International journal of …, 2019 - Elsevier
Objective Reproducibility of research studies is key to advancing biomedical science by
building on sound results and reducing inconsistencies between published results and …

[PDF][PDF] Knowledge of the ancestors: Intelligent ontology-aware annotation of biological literature using semantic similarity

P Devkota, S Mohanty, P Manda - International COnference on …, 2022 - par.nsf.gov
Natural language processing models have emerged as a solution to manual curation for fast
and automated annotation of literature with ontology concepts. Deep learning architectures …

A unified framework for managing provenance information in translational research

SS Sahoo, V Nguyen, O Bodenreider, P Parikh… - BMC …, 2011 - Springer
Background A critical aspect of the NIH Translational Research roadmap, which seeks to
accelerate the delivery of" bench-side" discoveries to patient's" bedside," is the management …

[HTML][HTML] Scientific reproducibility in biomedical research: provenance metadata ontology for semantic annotation of study description

SS Sahoo, J Valdez, M Rueschman - AMIA Annual Symposium …, 2016 - ncbi.nlm.nih.gov
Scientific reproducibility is key to scientific progress as it allows the research community to
build on validated results, protect patients from potentially harmful trial drugs derived from …

Comparison of natural language processing tools for automatic gene ontology annotation of scientific literature

L Beasley, P Manda - 2018 - peerj.com
Manual curation of scientific literature for ontology-based knowledge representation has
proven infeasible and unscalable to the large and growing volume of scientific literature …

Statistical algorithms for ontology-based annotation of scientific literature

C Chakrabarti, TB Jones, GF Luger, JF Xu… - Journal of biomedical …, 2014 - Springer
Background Ontologies encode relationships within a domain in robust data structures that
can be used to annotate data objects, including scientific papers, in ways that ease tasks …