Difference between revisions of "MaterialWays"

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== Relevant Activities Undertaken by Others ==
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* European Committee for Standardization (CEN)
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** [http://www.cen.eu/cen/Sectors/Sectors/ISSS/Activity/Pages/SERES.aspx The SERES draft CEN WORKSHOP AGREEMENT (CWA)  'ICT Standards in support of an eReporting framework for the Engineering Materials Sector' and its Annexes, are under public review as from 23 December 2014 till 23 February 2014. ]
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** [http://www.cen.eu/cen/Sectors/Sectors/ISSS/Activity/Documents/SERES_BP_final.pdf Business Plan for the CEN Workshop on Standards for Electronic Reporting in the Engineering Sector (WS SERES)] 22 March 2012 - The proposed new CEN Workshop SERES builds on the success of CEN Workshop ELSSIEMD (Economics and Logistics of Standards-compliant Schemas and ontologies for Engineering Materials Data), acting on the key recommendations reported in CWA 16200:20101, and leveraging procedural Standards in he engineering materials sector to encourage stakeholder engagement and buy-in.  The period of performance for the workshop is from March 2012 through November 2013 (21 months)
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** [ftp://ftp.cen.eu/CEN/Sectors/List/ICT/CWAs/CWA16200_2010_ELSSI.pdf Workshop Agreement] Sep 2010
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** [http://www.cen.eu/cen/Sectors/Sectors/ISSS/Activity/Documents/WSELSSI_CWAComments.pdf A Guide to the Development and Use of Standards-compliant Data Formats for Engineering Materials Test Data] CEN 17 March 2010 - The engineering community invests significantly in generating materials test data of an high inherent value. Very often the data sets are richly structured and amenable to reuse. The materials community has, however, largely failed to address the issue of data capture and preservation. Although technologies for the automated capture and preservation of test data exist, on the rare occasions that data are conserved, they are invariably inaccessible to the wider materials community. This inevitably acts as an obstacle to the research process, and hinders business activities in the engineering sector. In recognition of these issues, CEN (the European Committee for Standardization) sponsored the 12-month ELSSI-EMD Workshop to develop schemas and ontologies derived from procedural materials testing standards.
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* NIST
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== A Shared Materials Vocabulary ==
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=== Guidance for Creating Vocabularies ===
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A new (June 2013) [http://www.w3.org/TR/vocab-data-cube/#dsd W3C recommendation] for capturing multidimensional data sets has been published.  Perhaps this could be used to capture array data typically encountered in materials research (e.g. process time, temperature, pressure, degree-of-cure prediction).
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* [http://www.w3.org/TR/swbp-vocab-pub/ Best practices] for publishing a vocabulary (W3C)
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* [http://www.w3.org/2001/sw/wiki/SKOS/FAQs#Q:_Can_I_use_SKOS_to_publish_a_glossary_or_other_type_of_knowledge_organization_system.3F SKOS/FAQs Can I use SKOS to publish a glossary?] (W3C)
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* [https://collab.firelab.org/software/projects/semantic-tech/wiki/Simple_Knowledge_Organization_System Useful information about SKOS from FFS Software Center]
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=== Units ===
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At some point we'll want to include "units" for the terms in the vocabulary.  A couple of sources of information:
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* [http://ontolog-02.cim3.net/wiki/UoM A web page with links to ontologies for Units of Measure]
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* [http://www.qudt.org/ QUDT - Quantities, Units, Dimensions and Data Types Ontologies] 24 August 2013
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* [http://physics.nist.gov/cuu/Units/index.html NIST Reference on Constants, Units, and Uncertainty] Last update was Oct 2000.
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* [http://idi.fundacionctic.org/muo/muo-vocab.html Measurement Units Ontology] A working draft.(2008)
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* [http://unitsofmeasure.org/trac/ Unified Code for Units of Measure] 1 Nov 2012
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* [http://wiki.eclass.eu/wiki/UnitsML UnitsML from NIST]  UnitsML is a project underway at the (US) National Institute of Standards and Technology (NIST) to develop a schema for encoding scientific units of measure in XML. UnitsML allows encoding of scientific units of measure and quantities into XML and will validate XML documents that use UnitsML. Initial development of this schema was done at NIST, but completion of the development process should include input from the international scientific and engineering community. Towards this end, NIST is initiating an OASIS Technical Committee to address any needed changes in the schema and publish a final recommendation. (See: http://unitsml.nist.gov/)
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As OntoML does not cover units and quantities to the extent that is required within eCl@ss XML 1.0, an additional format named unitsML is included.
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=== Vocabulary Sources ===
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* [http://lov.okfn.org/dataset/lov/ Linked Open Vocabularlies: ]Vocabularies (RDFS or OWL ontologies) used in the Linked Data Cloud. Here you will find vocabularies listed and individually described by metadata, classified by vocabulary spaces, interlinked using the dedicated vocabulary VOAF.
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=== Milestones ===
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{| border="1"
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| '''Date'''
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| '''Milestone'''
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|-
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| align="right" | Sep 2013 || Glossary received from ASM
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|-
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| align="right" |9 Oct 2013 || ASM Handbook 21 accessible via URL
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|-
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| align="right" |Oct 2013 || Mil-hdbks 5 and accessible via URL
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|}
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== Ontology Development ==
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=== Existing Materials Ontologies or Schemas ===
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==== Ontologies ====
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* MatOnto ''''''How can we get a copy of this ontology?''''''
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** [https://www.google.com/search?q=matonto&oq=matonto&aqs=chrome..69i57j69i60l3j0l2.1100j0&sourceid=chrome&espvd=210&es_sm=93&ie=UTF-8#es_sm=93&q=matonto+materials Towards an Ontology for Data-driven Discovery of New Materials (.pdf)‎] Materials scientists and nano-technologists are struggling with the challenge of managing the large volumes of multivariate, multidimensional and mixed-media data sets being generated from the experimental, characterisation, testing and post-processing steps associated with their search for new materials. In addition, they need to access large publicly available databases containing: crystallographic structure data; thermodynamic data; phase stability data and ionic conduction data. Materials scientists are demanding data integration tools to enable them to search across these disparate databases and to correlate their experimental data with the public databases, in order to identify new fertile areas for searching. Systematic data integration and analysis tools are required to generate targeted experimental programs that reduce duplication of costly compound preparation, testing and characterisation. This paper presents MatOnto – an extensible ontology, based on the DOLCE upper ontology, that aims to represent structured knowledge about materials, their structure and properties and the processing steps involved in their composition and engineering. The primary aim of MatOnto is to provide a common, extensible model for the exchange, re-use and integration of materials science data and experimentation. (circa 2008 or 2009)
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* MatSEEK
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** [http://www.itee.uq.edu.au/eresearch/papers/2009/MatSeek_Cheung_Hunter_Drennan.pdf MatSEEK:  An Ontology-Based Federated Search Interface for Materials Scientists] (Feb 2009)
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** The MatSeek system is an ontology-based federated search interface to key materials science databases and analytical tools. By combining Semantic Web and Web 2.0 technologies, MatSeek provides materials scientists with a single Web interface that enables them to search across disparate databases containing crystal-structure data, ionic-conductivity data, and phase stability data; render 3D crystal-structure images; calculate bond lengths and angles; retrieve relevant scholarly references; and identify potential new materials with the structure and properties required to satisfy specific applications. The MatOnto ontology underlying MatSeek enables integration of data across disparate databases, and Web 2.0 technologies enable iterative searching across the databases. The results retrieved from searching the previous database are used as input to the query on the next database. By providing materials scientists with a single, integrated Web interface to the critical materials science databases and analytical tools, MatSeek represents a significant advance toward a full-fledged materials-informatics workbench.
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* MASON '''''Can't get it to open with Protege'''''
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** MASON (MAnufacturing's Semantics ONtology) is an effort to draft a common upper ontology in manufacturing domain. This project relies on OWL-DL formalism.
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** [http://sourceforge.net/projects/mason-onto/files/mason-onto/1.0/ MAnufacturing Semantics ONtology .owl file] 1 Feb 2006
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* Plinius
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** The Plinius ontology of ceramic materials covers the conceptualisation of the chemical compositionof materials. The design decisions underlying ontology development at our group are discussed.The ontology of ceramic materials is given as a conceptual construction kit, involving several sets ofatomic concepts and construction rules for making complex concepts. One of its implementations,that in Ontolingua, is presented. [http://libra.msra.cn/Publication/96741/the-plinius-ontology-of-ceramic-materials source]
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==== Schemas ====
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* MATML
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** [http://www.matml.org/ MatML] is an extensible markup language (XML) developed especially for the interchange of materials information.  NIST seemed to stop extending MATML around 2006.
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** [https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CC4QFjAA&url=http%3A%2F%2Fdocs.oasis-open.org%2Fmaterials%2Fmaterials-matml-spec-pr-01.doc&ei=ZfNFUvqrH8P-4AOA-4HwCg&usg=AFQjCNFeiqWj7j0HFlrPCge8sYiM0ceYiQ&sig2=7fpGIZ8kXoEZ_JbMMnFvDA&bvm=bv.53217764,d.dmg Oasis-Open MatML (.doc)] 6 June 2006
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** [http://www.matml.org/downloads/matml31.xsd Schema:  xsd file]
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** [https://docs.google.com/file/d/0B12FzdE7Nx-QQ01pMGxOZkoxbkU/edit?usp=sharing Graphical Representation of the Schema]
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** [http://web.cs.wpi.edu/~aparna/MatMLAESJuly14.pdf MatML: XML for Information Exchange with Materials Property Data by WPI, NIST, and ASM] 2005
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* AnIML
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** [http://animl.sourceforge.net/ Analytical Information Markup Language (AnIML)] is the emerging ASTM XML standard for analytical chemistry data.  Last update to the webpage was around
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** [http://animl.cvs.sourceforge.net/viewvc/animl/schema/animl-core.xsd Current Schema] 15 July 2010
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** [https://docs.google.com/file/d/0B12FzdE7Nx-QNnI0eW5MMUt4Ym8/edit?usp=sharing Graphical Representation of the Schema]
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* EC MatDB
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** [http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1628734 XML Related MatDB Tools for Data Exchange and Interoperability] (proceedings)  The web-enabled materials properties database MatDB of the European Commission Joint Research Centre (EC-JRC) is a database application for the storage, retrieval and evaluation of experimentally measured materials data coming from European R&D projects. Data exchange and interoperability are important database issues to reduce costs of expensive material tests. Many organizations world-wide are participating in the development of GEN IV reactors. To reduce costs the GEN IV International Forum has agreed to interoperate and exchange data for the screening and qualification of candidate materials. To simplify the complexity of data mapping between differently structured databases, adoption of a standardized XML schema is the favored option. The paper focuses on MatDB XML related tools and items: • Upgrade, extension and implementation of the MatDB XML schema within a planned US/EC cooperation; • European standardization activities for data exchange, interoperability and the development of standard formats for engineering materials data; • MatDB data cite participation.
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** [https://odin.jrc.ec.europa.eu/produ_info.jsp EC MatDB Schema]
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* CEN_Schema for ISO-6892-1
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** [https://docs.google.com/file/d/0B12FzdE7Nx-QcTBTa0lsbWlOMjg/edit?usp=sharing CEN]
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** [https://docs.google.com/file/d/0B12FzdE7Nx-QRzJQcEtJNVM4d0U/edit?usp=sharing Graphical Representation of Schema]
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===== Reviews and Synopsis =====
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* [http://ep2dc-s1.soton.ac.uk/23/1/materials_schemas_review.pdf A review of materials schemas] has identified 3 potential candidates for the MDC back-end
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** [http://www.oasis-open.org/committees/materials MatML]
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** [http://odin.jrc.ec.europa.eu EC MatDB]
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** [http://www.nims.go.jp/ NMC MatDB]
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These schemas are at various stages of development, each with their own benefits and limitations. Most promising appears to be the EC MatDB schema, about which you can [http://www.jstage.jst.go.jp/article/dsj/7/0/7_179/_article read more].
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==== Ontology Development Approaches (beyond vocabularies) ====
 +
===== Taxonomies =====
 +
 +
===== Triplets =====
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*[http://knoesis.org/tripletcollector/ Ontology Concept Elicitation Tool (OnCET) Development ]  This tool is being designed and developed by Nishita, Siva and Clare to directly elicit ontological concepts and their relationships from the user.  The user provides the relationship (predicate) between two parameters or entities (concepts).  The source for these relationships can be the user's subject matter expertise or captured while the user is reads a document from the materials and manufacturing domain.
 +
 +
===== Concept Extraction from Reports/Articles =====
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Perhaps Dr Prasad could add a paragraph here.
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== Materials Databases ==
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* National Institute for Materials Science (NIMS)
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** [http://en.wikipedia.org/wiki/National_Institute_for_Materials_Science Description of NIMS on Wikipedia]
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* European Commission Joint Research Centre
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** EC MatDB
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* National Institute for Aviation Research (NIAR)
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== Useful References ==
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* [http://books.google.com/books?id=8UuurLiduv4C&pg=PA67&lpg=PA67&dq=matDB+schema&source=bl&ots=0iyEhRQDV5&sig=yNVHsb1i4Tk551BrK8CKUBs6X8A&hl=en&sa=X&ei=vfVFUtPeFbe34AP46oGwDw&ved=0CFkQ6AEwBQ#v=onepage&q=matDB%20schema&f=false Models, Databases, and Simulation Tools Needed for the Realization of Integrated Computational Materials Engineering] edited by Steve Arnold and Terry Wong, 20 October 2010
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* [http://www.cen.eu/cen/Sectors/Sectors/ISSS/Activity/Documents/WSELSSI_CWAComments.pdf A Guide to the Development and Use of Standards-compliant Data Formats for Engineering Materials Test Data (.pdf)] 17 March 2010
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* [http://www.researchgate.net/publication/220390027_Semantic_Query_on_Materials_Data_Based_on_Mapping_MatML_to_an_OWL_Ontology Semantic Query on Materials Data Based on Mapping MatML to an OWL Ontology] Xiaoming Zhang, Changjun Hu, Huayu Li Data Science Journal 01/2009; 8:1-17. DOI:10.2481/dsj.8.1 Source: DBLP
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 +
== Generally Useful Information ==
 +
 +
=== Keyboard Shortcuts ===
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* <shift><click> on a link will open the linked page in a new window
 +
 +
=== Software Tools ===
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* Graphical representations (saved as pdf) of the schemas were created using [https://code.google.com/p/qxmledit/ QXmlEdit]
 +
 +
 
Materialinformatics
 
Materialinformatics
  

Revision as of 20:42, 7 March 2014

Relevant Activities Undertaken by Others

  • NIST

A Shared Materials Vocabulary

Guidance for Creating Vocabularies

A new (June 2013) W3C recommendation for capturing multidimensional data sets has been published. Perhaps this could be used to capture array data typically encountered in materials research (e.g. process time, temperature, pressure, degree-of-cure prediction).

Units

At some point we'll want to include "units" for the terms in the vocabulary. A couple of sources of information:

As OntoML does not cover units and quantities to the extent that is required within eCl@ss XML 1.0, an additional format named unitsML is included.

Vocabulary Sources

  • Linked Open Vocabularlies: Vocabularies (RDFS or OWL ontologies) used in the Linked Data Cloud. Here you will find vocabularies listed and individually described by metadata, classified by vocabulary spaces, interlinked using the dedicated vocabulary VOAF.

Milestones

Date Milestone
Sep 2013 Glossary received from ASM
9 Oct 2013 ASM Handbook 21 accessible via URL
Oct 2013 Mil-hdbks 5 and accessible via URL

Ontology Development

Existing Materials Ontologies or Schemas

Ontologies

  • MatOnto 'How can we get a copy of this ontology?'
    • Towards an Ontology for Data-driven Discovery of New Materials (.pdf)‎ Materials scientists and nano-technologists are struggling with the challenge of managing the large volumes of multivariate, multidimensional and mixed-media data sets being generated from the experimental, characterisation, testing and post-processing steps associated with their search for new materials. In addition, they need to access large publicly available databases containing: crystallographic structure data; thermodynamic data; phase stability data and ionic conduction data. Materials scientists are demanding data integration tools to enable them to search across these disparate databases and to correlate their experimental data with the public databases, in order to identify new fertile areas for searching. Systematic data integration and analysis tools are required to generate targeted experimental programs that reduce duplication of costly compound preparation, testing and characterisation. This paper presents MatOnto – an extensible ontology, based on the DOLCE upper ontology, that aims to represent structured knowledge about materials, their structure and properties and the processing steps involved in their composition and engineering. The primary aim of MatOnto is to provide a common, extensible model for the exchange, re-use and integration of materials science data and experimentation. (circa 2008 or 2009)
  • MatSEEK
    • MatSEEK: An Ontology-Based Federated Search Interface for Materials Scientists (Feb 2009)
    • The MatSeek system is an ontology-based federated search interface to key materials science databases and analytical tools. By combining Semantic Web and Web 2.0 technologies, MatSeek provides materials scientists with a single Web interface that enables them to search across disparate databases containing crystal-structure data, ionic-conductivity data, and phase stability data; render 3D crystal-structure images; calculate bond lengths and angles; retrieve relevant scholarly references; and identify potential new materials with the structure and properties required to satisfy specific applications. The MatOnto ontology underlying MatSeek enables integration of data across disparate databases, and Web 2.0 technologies enable iterative searching across the databases. The results retrieved from searching the previous database are used as input to the query on the next database. By providing materials scientists with a single, integrated Web interface to the critical materials science databases and analytical tools, MatSeek represents a significant advance toward a full-fledged materials-informatics workbench.
  • MASON Can't get it to open with Protege
  • Plinius
    • The Plinius ontology of ceramic materials covers the conceptualisation of the chemical compositionof materials. The design decisions underlying ontology development at our group are discussed.The ontology of ceramic materials is given as a conceptual construction kit, involving several sets ofatomic concepts and construction rules for making complex concepts. One of its implementations,that in Ontolingua, is presented. source

Schemas

  • EC MatDB
    • XML Related MatDB Tools for Data Exchange and Interoperability (proceedings) The web-enabled materials properties database MatDB of the European Commission Joint Research Centre (EC-JRC) is a database application for the storage, retrieval and evaluation of experimentally measured materials data coming from European R&D projects. Data exchange and interoperability are important database issues to reduce costs of expensive material tests. Many organizations world-wide are participating in the development of GEN IV reactors. To reduce costs the GEN IV International Forum has agreed to interoperate and exchange data for the screening and qualification of candidate materials. To simplify the complexity of data mapping between differently structured databases, adoption of a standardized XML schema is the favored option. The paper focuses on MatDB XML related tools and items: • Upgrade, extension and implementation of the MatDB XML schema within a planned US/EC cooperation; • European standardization activities for data exchange, interoperability and the development of standard formats for engineering materials data; • MatDB data cite participation.
    • EC MatDB Schema
Reviews and Synopsis

These schemas are at various stages of development, each with their own benefits and limitations. Most promising appears to be the EC MatDB schema, about which you can read more.

Ontology Development Approaches (beyond vocabularies)

Taxonomies
Triplets
  • Ontology Concept Elicitation Tool (OnCET) Development This tool is being designed and developed by Nishita, Siva and Clare to directly elicit ontological concepts and their relationships from the user. The user provides the relationship (predicate) between two parameters or entities (concepts). The source for these relationships can be the user's subject matter expertise or captured while the user is reads a document from the materials and manufacturing domain.
Concept Extraction from Reports/Articles

Perhaps Dr Prasad could add a paragraph here.

Materials Databases

  • European Commission Joint Research Centre
    • EC MatDB
  • National Institute for Aviation Research (NIAR)

Useful References

Generally Useful Information

Keyboard Shortcuts

  • <shift><click> on a link will open the linked page in a new window

Software Tools

  • Graphical representations (saved as pdf) of the schemas were created using QXmlEdit


Materialinformatics

Project page

Federated Semantic Services Platform for Open Materials Science and Engineering (AFRL/Rome) This three-year project will undertake three broad classes of tasks. The first related to creating semantic infrastructure including ability to create semantic metadata for a variety of data types utilizing domain models and knowledge bases. The second relates to semantic search for all varieties of data, including resources with services based access. The third relates to development of a novel semantic data exchange scheme for materials science (termed Linked Open Materials Data) by developing an open data based approach

KDDM: Materials Database Knowledge Discovery and Data Mining (AFRL/RX) Knoesis Center with the collaboration with AFRL/RX applying knowledge and technology in informatics to the material domains, thus introducing the materials and process community to better data management practices. A data exchange system that will allow researchers to index, search, and compare data will enable a shortened transition cycle in material science which is usually takes 5 to 10 years. This multi-disciplinary project seeks to span informatics and material science to fill this gap.

Download ontologies

MO, Material Ontology BMO, BioMaterial Ontology

Process Modeling

Data Modeling, Feature Identities, Descriptors and Handles with Philip Sargent Cambridge, UK

Modelling Materials Processing:An overview by Philip Sargent, Cambridge, UK

Materials Information and Conceptual Data Modelling

links

Read latest news in Material Science here: Materialstoday

Related publications

Non-structured Materials Science Data Sharing Based on Semantic Annotation

Towards an Ontology for Data-driven Discovery of New Materials

Other publications

Presentations

ppt

Handbooks and Online Sources

MIL-HDBK-5J - College of Engineering

Integrated Computational Materials Engineering (ICME)

MatWeb, Your Source for Materials Information The heart of MatWeb is a searchable database of material data sheets, including property information on thermoplastic and thermoset polymers such as ABS, nylon, polycarbonate, polyester, polyethylene and polypropylene; metals such as aluminum, cobalt, copper, lead, magnesium, nickel, steel, superalloys, titanium and zinc alloys; ceramics; plus semiconductors, fibers, and other engineering materials. There are over 59,000 data sheets in the collection.

  • Subjects Include: Aluminum, Ceramics, Materials Science, Metals, Nylons, Polycarbonate, Polyester, Polymers, Steels, and Titanium
  • Publisher: Automation Creations, Inc.

Wiki Page

General

Ontology

Doozer at Knoesis Kino Kino Presentation

Contact us

knoesismat@gmail.com

Blog

MaterialWays

Discussion group

MaterialWays google group

Get the data

Data

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