Results 61 to 70 of about 208,737 (313)
Advanced Engineering Materials, EarlyView.In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling +7 more
wiley +1 more source
Population-based metaheuristics for Association Rule Text Mining [PDF]
arXiv, 2020 Nowadays, the majority of data on the Internet is held in an unstructured format, like websites and e-mails. The importance of analyzing these data has been growing day by day. Similar to data mining on structured data, text mining methods for handling unstructured data have also received increasing attention from the research community.
arxiv
Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development
Advanced Engineering Materials, EarlyView.This work addresses the inefficiencies in traditional glass development by implementing an ontology‐based digital infrastructure coupled with a high‐throughput robotic melting system. The approach integrates machine learning models, predictive tools, and a semantic database.
Ya‐Fan Chen +20 more
wiley +1 more source
The Anatomical Record, EarlyView., 2022 Abstract A number of helochelydrid turtle shell remains were recovered over the course of the 19th century from mid‐Cretaceous sediments throughout Southern England, including the poorly figured and described types of Trachydermochelys phlyctaenus from the Cambridge Greensand of Cambridgeshire, Plastremys lata from the Upper Greensand of the Isle of ...
Walter G. Joyce
wiley +1 more source
Mining Healthcare Procurement Data Using Text Mining and Natural Language Processing -- Reflection From An Industrial Project [PDF]
arXiv, 2023 While text mining and NLP research has been established for decades, there remain gaps in the literature that reports the use of these techniques in building real-world applications. For example, they typically look at single and sometimes simplified tasks, and do not discuss in-depth data heterogeneity and inconsistency that is common in real-world ...
arxiv
KupferDigital: Ontology‐Based Digital Representation for the Copper Life Cycle
Advanced Engineering Materials, EarlyView.It is demonstrated how data from different stages in the life cycle of a copper product can be stored in an ontology‐based data space. In order to showcase the methods and tools used in the project, four use cases are presented that show how data from different sources can be semantically described and queried from a shared data space.
Miriam Eisenbart +18 more
wiley +1 more source
Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit? [PDF]
arXiv, 2018 Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data mining from concerns of the researcher wishing to mine data to include concerns of researcher-authors about how their data are mined, by whom, for what purposes, and to whose ...
arxiv
Advanced Engineering Materials, EarlyView.The combination of battery product and characterization ontology (BPCO) and domain knowledge guides hypotheses development and leads to new insights into material–property relationship of battery materials. The use of “intermediate data” is introduced as a concept, and examples are shown on its use to analyze the agglomeration of carbon black and its ...
Lisa Beran +5 more
wiley +1 more source
Opinion Mining Using Population-tuned Generative Language Models [PDF]
arXiv, 2023 We present a novel method for mining opinions from text collections using generative language models trained on data collected from different populations. We describe the basic definitions, methodology and a generic algorithm for opinion insight mining.
arxiv
Advanced Engineering Materials, EarlyView.The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier +37 more
wiley +1 more source