Oksana Hoard LIS 4404. Overview MatML stands for Materials Markup Language It is a freely-available XML schema designed to describe materials (metals,

Slides:



Advertisements
Similar presentations
Can I Use It, and If so, How? Christian Lieske SAP AG – MultiLingual Technology Discussion of Consortium Proposal for OLIF2 File Header.
Advertisements

OMV Ontology Metadata Vocabulary April 10, 2008 Peter Haase.
Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
Dublin Core for Digital Video: Overview of the ViDe Application Profile.
Status on the Mapping of Metadata Standards
Technical Committee on GJXDM Technical Committee Presentation on GJXDM.
FGDC & ISO: What is the Current Status and Considerations when Moving Forward? Viv Hutchison USGS Core Science Systems November 10, 2010 Salem, OR.
ISO TC184/SC4 Future architecture Rotterdam Progress on the Future SC4 Architecture PWI Friday 13 th November 2009.
1 Introduction to XML. XML eXtensible implies that users define tag content Markup implies it is a coded document Language implies it is a metalanguage.
Semantic Web and Web Mining: Networking with Industry and Academia İsmail Hakkı Toroslu IST EVENT 2006.
SKOS and Other W3C Vocabulary Related Activities Gail Hodge Information International Assoc. NKOS Workshop Denver, CO June 10, 2005.
ModelicaXML A Modelica XML representation with Applications Adrian Pop, Peter Fritzson Programming Environments Laboratory Linköping University.
Samad Paydar Web Technology Laboratory Computer Engineering Department Ferdowsi University of Mashhad 1389/11/20 An Introduction to the Semantic Web.
1 Augmenting MatML with Heat Treating Semantics Aparna Varde, Elke Rundensteiner, Murali Mani Mohammed Maniruzzaman and Richard D. Sisson Jr. Worcester.
Copyright © 2006, Open Geospatial Consortium, Inc., All Rights Reserved. The OGC and Emergency Services: GML for Location Transport & Formats & Mapping.
Modelling the spatial data of Hellenic Cadastre and generating the geodatabase schema Aris Sismanidis ARISTOTLE UNIVERSITY OF THESSALONIKI FACULTY OF ENGINEERING.
The Role of Modeling in Systems Integration and Business Process Analysis © Sparx Systems Pty Ltd 2011 Ben Constable Sparx Systems.
Ontology-based Access Ontology-based Access to Digital Libraries Sonia Bergamaschi University of Modena and Reggio Emilia Modena Italy Fausto Rabitti.
Digital Encoding What’s behind E-text Resources?.
SDC JE-xxxx. Bruce Bargmeyer EPA/OIRM/EIM Division Tel: (202) WWW URL:
1/ 27 The Agriculture Ontology Service Initiative APAN Conference 20 July 2006 Singapore.
Provo, 16 Aug 2007 LMF meeting 1 Lexical Markup Framework: ISO Provo meeting Gil Francopoulo.
SC32 WG2 Metadata Standards Tutorial Metadata Registries and Big Data WG2 N1945 June 9, 2014 Beijing, China.
 Copyright 2005 Digital Enterprise Research Institute. All rights reserved. Towards Translating between XML and WSML based on mappings between.
Practical RDF Chapter 1. RDF: An Introduction
Research Data Management Services Katherine McNeill Social Sciences Librarians Boot Camp June 1, 2012.
1 XML as a preservation strategy Experiences with the DiVA document format Eva Müller, Uwe Klosa Electronic Publishing Centre Uppsala University Library,
Research Information System for Materials - Database, Simulation and Knowledge Toshihiro Ashino Toyo University
Using the Open Metadata Registry (openMDR) to create Data Sharing Interfaces October 14 th, 2010 David Ervin & Rakesh Dhaval, Center for IT Innovations.
1 Technologies for distributed systems Andrew Jones School of Computer Science Cardiff University.
Metadata Management Case Study Date: 10/21/2008 Dan McCreary President Dan McCreary & Associates (952) M D Metadata Solutions.
Metadata and Geographical Information Systems Adrian Moss KINDS project, Manchester Metropolitan University, UK
EARTH SCIENCE MARKUP LANGUAGE Why do you need it? How can it help you? INFORMATION TECHNOLOGY AND SYSTEMS CENTER UNIVERSITY OF ALABAMA IN HUNTSVILLE.
Extensible Markup Language (XML) Extensible Markup Language (XML) is a simple, very flexible text format derived from SGML (ISO 8879).ISO 8879 XML is a.
Ontologies and Lexical Semantic Networks, Their Editing and Browsing Pavel Smrž and Martin Povolný Faculty of Informatics,
The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.
EU Project proposal. Andrei S. Lopatenko 1 EU Project Proposal CERIF-SW Andrei S. Lopatenko Vienna University of Technology
Topic Rathachai Chawuthai Information Management CSIM / AIT Review Draft/Issued document 0.1.
Metadata. Generally speaking, metadata are data and information that describe and model data and information For example, a database schema is the metadata.
1  Bob Hager Director of Publishing Standards Metadata Specification.
© 2011 Lantana Consulting Group, 1 Open Health Tools Membership Presentation July Lantana Consulting Group Transforming healthcare.
Metadata Semantic Web Solutions: Web 2.0 and beyond ______________________________ Stephanie Beene, 10/14/2008.
SKOS. Ontologies Metadata –Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies –Provide.
Metadata Schema for CERIF Andrei Lopatenko Vienna University of Technology
The future of the Web: Semantic Web 9/30/2004 Xiangming Mu.
Trustworthy Semantic Webs Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #4 Vision for Semantic Web.
Metadata Common Vocabulary a journey from a glossary to an ontology of statistical metadata, and back Sérgio Bacelar
TMF - Terminological Markup Framework Laurent Romary Laboratoire LORIA (CNRS, INRIA, Universités de Nancy) ISO meeting London, 14 August 2000.
Metadata “Data about data” Describes various aspects of a digital file or group of files Identifies the parts of a digital object and documents their content,
Tutorial on XML Tag and Schema Registration in an ISO/IEC Metadata Registry Open Forum 2003 on Metadata Registries Tuesday, January 21, 2003; 4:45-5:30.
Marine Metadata Interoperability Acknowledgements Ongoing funding for this project is provided by the National Science Foundation.
DANIELA KOLAROVA INSTITUTE OF INFORMATION TECHNOLOGIES, BAS Multimedia Semantics and the Semantic Web.
OECD Expert Group on Statistical Data and Metadata Exchange (Geneva, May 2007) Update on technical standards, guidelines and tools Metadata Common.
From XML to DAML – giving meaning to the World Wide Web Katia Sycara The Robotics Institute
Statistical Data and Metadata Exchange SDMX Metadata Common Vocabulary Status of project and issues ( ) Marco Pellegrino Eurostat
NeOn Components for Ontology Sharing and Reuse Mathieu d’Aquin (and the NeOn Consortium) KMi, the Open Univeristy, UK
MatML: Brief Overview Visit MatML is an extensible markup language for describing structured documents containing materials property data.
Improvement of Semantic Interoperability based on Metadata Registry(MDR) Doo-Kwon Baik Dept. of CSE Korea University.
The Agricultural Ontology Server (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Food and Agriculture Organization.
National Aeronautics and Space Administration 1 CCSDS Information Architecture Working Group Daniel J. Crichton NASA/JPL 24 March 2005.
Stanford University, Stanford, CA, USA
Document, Index, Discover, Access
CmpE 583- Web Semantics: Theory and Practice RULES & RULE MARKUP
Geospatial Knowledge Base (GKB) Training Platform
XML Data Introduction, Well-formed XML.
One Language. One Enterprise.™
SDMX in the S-DWH Layered Architecture
CSE591: Data Mining by H. Liu
Semantic Statistics DDI Lifecycle: Moving Forward Outcome of the Recent Workshops in Dagstuhl Joachim Wackerow.
Toward an Ontology-Driven Architectural Framework for B2B E. Kajan, L
Presentation transcript:

Oksana Hoard LIS 4404

Overview MatML stands for Materials Markup Language It is a freely-available XML schema designed to describe materials (metals, plastics, ceramics) and their properties (density, elasticity) for the field of materials science MatML ensures interoperability MatML facilitates information exchange between specialists

MatML Users

Development Schema initially defined by Ed Begley for the National Institute of Standards and Technology (NIST) 2000 – MatML version 1.0 released for public comment 2001 – MatML version 2.0 formally released 2003 – MatML version 3.0 registered with XML.org 2004 – MatML version 3.1 formally released 2006 – MatML published for public comment by OASIS

Elements: Representation

Elements: Example There are two main components in the schema Material – Mandatory Metadata – Optional Schema may be found at Example may be found at

Benefits Simplicity Understandability Flexibility Extensibility Business Tool

Challenges Problem: Variations in terminology in different domains, disciplines, etc. Solution: Creation of a thesaurus encompassing all relevant fields Problem: Variations in units and data formats between domains and countries Solution: Creation of automated format conversions and using the Glossary element in the schema Problem: Lack of guidance in using the schema Solution: Creation of user-friendly editors, user guidelines, and technical documentation

Present and Future Use in industry may not be wide-spread No formally-released standards since 2004 No documented activity since 2006 Use for Semantic Web Development Possible Semantic Web ontology study Transformation or extension of XML schema study Further study in Semantic Web ontology (MatOWL)

References Ashin, T. & Yoshizu, H. (n. d.) Formalization of material property data analysis with web ontology. Retrieved from: Bartolo, L. M., Cole, T. W., Giersch, S., & Wright, M. (2005). NSF / NSDL Workshop on Scientific Markup Languages. D-Lib Magazine, 11(11). Kaufman, J. G., & Begley, E. F. (2003). MatML: a data interchange markup language. Advanced Materials and Processes, 161(11), MatML. (2005). MatML history. Retrieved from: MatML. (2004a). MatML version 3.1. Retrieved from: MatML. (2004b). MatML version 3.0 schema: example 2. Retrieved from: MatML. (n. d.). MatML home. Retrieved from: OASIS. (2006). Material Markup Language public review draft 01. Retrieved from: open.org/materials/materials-matml-spec-pr-01.htm Ojala, T. & Over, H-H. (2008). Approaches in using MatML as a common language for materials data exchange. Data Science Journal, 7, Retrieved from: Varde, A. S., Begley, E. F., & Fahrenholz-Mann, S. (2006). MatML: XML for information exchange with materials property data. In DMSSP '06: Proceedings of the 4th international workshop on Data mining standards, services and platforms (pp ). New York: ACM. Zhang, X., Hu, C., & Li, H. (2009). Semantic query on materials data based on mapping MatML to an OWL ontology. Data Science Journal, 8, 1-17.Retrieved from: