MatML: XML for information exchange with materials property data

Aparna S. Varde, Edwin F. Begley, Sally Fahrenholz-Mann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

This paper describes the development and use of MatML, the Materials Markup Language. MatML is an emerging XML standard intended primarily for the exchange of materials property information. It provides a medium of communication for users in materials science and related fields such as manufacturing and aerospace. It sets the stage for the development of semantic web standards to enhance knowledge discovery in materials science and related areas. MatML has been used in applications such as the development of materials digital libraries and analysis of contaminant emissions data. Data mining applications of MatML include statistical process control and failure analysis. Challenges in promoting MatML involve satisfying a broad range of constituencies in the international engineering and materials science community and also adhering to other related standards in web data exchange. These issues are being addressed through the development of a good ontology, the automation of format conversions and possible schema extensions. MatML aims to be a lingua franca for data exchange in materials science and its broader horizons.

Original languageEnglish
Title of host publication4th International Workshop on Data MiningStandards, Services and Platforms
Pages47-54
Number of pages8
DOIs
StatePublished - 1 Dec 2006
Event2007 ACM SIGKDD Conference on Knowledge Discovery in Data - 4th International Workshop on Data MiningStandards, Services and Platforms - Philadelphia, PA, United States
Duration: 20 Aug 200620 Aug 2006

Publication series

Name4th International Workshop on Data Mining Standards, Services and Platforms

Other

Other2007 ACM SIGKDD Conference on Knowledge Discovery in Data - 4th International Workshop on Data MiningStandards, Services and Platforms
CountryUnited States
CityPhiladelphia, PA
Period20/08/0620/08/06

Keywords

  • Data mining
  • Information exchange
  • Semantic web

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