Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

IF 3.3 3区材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Advanced Engineering Materials Pub Date : 2025-04-22 DOI:10.1002/adem.202570025

Bernd Bayerlein, Jörg Waitelonis, Henk Birkholz, Matthias Jung, Markus Schilling, Philipp v. Hartrott, Marian Bruns, Jörg Schaarschmidt, Kristian Beilke, Marcel Mutz, Vincent Nebel, Veit Königer, Lisa Beran, Tobias Kraus, Akhilesh Vyas, Lars Vogt, Moritz Blum, Basil Ell, Ya-Fan Chen, Tina Waurischk, Akhil Thomas, Ali Riza Durmaz, Sahar Ben Hassine, Carina Fresemann, Gordian Dziwis, Hossein Beygi Nasrabadi, Thomas Hanke, Melissa Telong, Stephan Pirskawetz, Mohamed Kamal, Thomas Bjarsch, Ursula Pähler, Peter Hofmann, Mena Leemhuis, Özgür L. Özçep, Lars-Peter Meyer, Birgit Skrotzki, Jörg Neugebauer, Wolfgang Wenzel, Harald Sack, Chris Eberl, Pedro Dolabella Portella, Tilmann Hickel, Lutz Mädler, Peter Gumbsch

{"title":"Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science","authors":"Bernd Bayerlein, Jörg Waitelonis, Henk Birkholz, Matthias Jung, Markus Schilling, Philipp v. Hartrott, Marian Bruns, Jörg Schaarschmidt, Kristian Beilke, Marcel Mutz, Vincent Nebel, Veit Königer, Lisa Beran, Tobias Kraus, Akhilesh Vyas, Lars Vogt, Moritz Blum, Basil Ell, Ya-Fan Chen, Tina Waurischk, Akhil Thomas, Ali Riza Durmaz, Sahar Ben Hassine, Carina Fresemann, Gordian Dziwis, Hossein Beygi Nasrabadi, Thomas Hanke, Melissa Telong, Stephan Pirskawetz, Mohamed Kamal, Thomas Bjarsch, Ursula Pähler, Peter Hofmann, Mena Leemhuis, Özgür L. Özçep, Lars-Peter Meyer, Birgit Skrotzki, Jörg Neugebauer, Wolfgang Wenzel, Harald Sack, Chris Eberl, Pedro Dolabella Portella, Tilmann Hickel, Lutz Mädler, Peter Gumbsch","doi":"10.1002/adem.202570025","DOIUrl":null,"url":null,"abstract":"<p><b>Semantic Data Integrations</b>\n </p><p>Data management in materials science traditionally relies on independent databases, making cross-domain analysis challenging due to the magnitude, diffuse character, and lack of specificity of relevant data. In article number 2401092, Bernd Bayerlein and co-workers discuss how subdomain data spaces—represented by ascending blocks—unlock their potential, making knowledge more visible, accessible, and interoperable. Semantic Web technologies enable structured access to heterogeneous data, tools, and knowledge through ontologies and cross-domain knowledge graphs.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":7275,"journal":{"name":"Advanced Engineering Materials","volume":"27 8","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adem.202570025","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Engineering Materials","FirstCategoryId":"88","ListUrlMain":"https://advanced.onlinelibrary.wiley.com/doi/10.1002/adem.202570025","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

Semantic Data Integrations

Data management in materials science traditionally relies on independent databases, making cross-domain analysis challenging due to the magnitude, diffuse character, and lack of specificity of relevant data. In article number 2401092, Bernd Bayerlein and co-workers discuss how subdomain data spaces—represented by ascending blocks—unlock their potential, making knowledge more visible, accessible, and interoperable. Semantic Web technologies enable structured access to heterogeneous data, tools, and knowledge through ontologies and cross-domain knowledge graphs.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

语义可访问材料数据空间的概念：材料科学中的具体实施概述

材料科学中的数据管理传统上依赖于独立的数据库，由于相关数据的规模、分散性和缺乏特异性，使得跨领域分析具有挑战性。在第2401092篇文章中，Bernd Bayerlein及其同事讨论了子域数据空间（由升序块表示）如何释放其潜力，使知识更加可见、可访问和可互操作。语义Web技术支持通过本体和跨领域知识图对异构数据、工具和知识进行结构化访问。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Advanced Engineering Materials 工程技术-材料科学：综合

CiteScore

5.70

自引率

5.60%

发文量

544

审稿时长

1.7 months

期刊介绍： Advanced Engineering Materials is the membership journal of three leading European Materials Societies - German Materials Society/DGM, - French Materials Society/SF2M, - Swiss Materials Federation/SVMT.