Results 91 to 100 of about 3,747,488 (307)

Encoding Newton’s Alchemical Library: Integrating Traditional Bibliographic and Modern Computational Methods

Journal of the Text Encoding Initiative, 2020
The Chymistry of Isaac Newton (http://chymistry.org) project team has digitized and encoded, following the TEI Guidelines, the complete corpus of Newton’s alchemical manuscripts, which total more than two thousand pages and over one million words. Newton
Meridith Beck Mink, Michelle Dalmau, Wallace Hooper, William R. Newman, James R. Voelkel, John A. Walsh   +5 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Towards an Interoperable Digital Scholarly Edition

Journal of the Text Encoding Initiative, 2014
Recent proposals for creating digital scholarly editions (DSEs) through the crowdsourcing of transcriptions and collaborative scholarship, for the establishment of national repositories of digital humanities data, and for the referencing, sharing, and ...
Desmond Schmidt
doaj   +1 more source

Building a Collaborative Editorial Workbench for Legal Texts with Complex Structures

Journal of the Text Encoding Initiative, 2020
This paper presents the work undertaken by the Capitularia project to integrate a collaborative editorial workbench into the open-source content management system (CMS) WordPress.
Nils Geißler, Daniela Schulz
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

“Reports of My Death Are Greatly Exaggerated”: Findings from the TEI in Libraries Survey

Journal of the Text Encoding Initiative, 2015
In the early days of the TEI Guidelines, academic libraries extended their access and preservation mandates to include electronic text, providing expertise in authority control, subject analysis, and bibliographic description.
Michelle Dalmau, Kevin Hawkins
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

A Design Methodology for Exploring and Communicating System Values and Assumptions

Journal of the Text Encoding Initiative, 2014
This paper attempts to make two contributions to discussions related to TEI: (1) an analysis of how tools used for working with TEI documents encourage certain values and make certain assumptions about the work of textual editing and (2) a report on a ...
Daniel Carter
doaj   +1 more source

The Evolution of the Text Encoding Initiative: From Research Project to Research Infrastructure

, 2013
It is twenty-five years since the Text Encoding Initiative was first launched as a research project following an international conference funded by the US National Endowment for the Humanities.
L. Burnard
semanticscholar   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source