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KU Data Model, NEEScentral & Dublin Core Ontologies

Profesor Adolfo Matamoros Department of Civil, Environmental and Architectural Engineering University of Kansas. KU Data Model, NEEScentral & Dublin Core Ontologies. Will Kritikos Graduate Student Research Assistant University of Kansas. Definition of Ontologies Ontology Engineering

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KU Data Model, NEEScentral & Dublin Core Ontologies

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  1. Profesor Adolfo Matamoros Department of Civil, Environmental and Architectural Engineering University of Kansas KU Data Model, NEEScentral & Dublin Core Ontologies Will Kritikos Graduate Student Research Assistant University of Kansas

  2. Definition of Ontologies • Ontology Engineering • KU Data Model • Description of Class Structure • Usage • Industry Foundation Classes • Dublin Core File Metadata • NEEScentral File Hierarchy • Recommended Metadata Strategy Topics

  3. Ontology is a description of the concepts and relationships that can exist for an agent or a community of agents What is an ontology? in other words... Ontology is a formal and explicit description of concepts in a certain domain. It features properties and their restrictions for each concept, as well as relationships among the concepts.

  4. Specification : Who will use this ontology? What will it be used for? • Knowledge Acquisition : Capture the concepts and relationships in the target domain. • Integration : Are there any ontologies we can reuse? • Conceptualization : Define the classes and relationships. Top-down, Middle-out, and Bottom-up. • Implementation : Code the ontology in a formal language. Ontology Engineering

  5. KU Data Model for Structural Engineering Research Ontology Coverage Research Projects Experiments Specimens Documentation Built on Standard Ontologies Industry Foundation Classes Projects, Specimens, Scientific Units Dublin Core Documentation

  6. Important Class Relationships

  7. Specimens The Industry Foundation Classes ontology can describe general structures A single specimen is considered in the IFC as a small structure Many specimens can be used for a single project or experiment Predefined structural materials include concrete and steel. Concrete can be post-tensioned, pre-stressed, or simply reinforced

  8. Using the KU Data Model Tools must be developed to input the metadata about a project into the KU ontology Tools need to be developed to visualize and search the metadata after it has been filled

  9. Use Case for the KU Data Model 3D renditions of specimen geometry and sensor locations were created using AutoCAD Materials were specified using Architectural Desktop Three-dimensional models were converted to IFC format (Express) using third party software Models were converted from the IFC (Express) format to the KU ontology format, XML, using a custom parser.

  10. Example 3D Models Drawn By Mike Brunin The University of Kansas

  11. Dublin Core Standard set of metadata about documents Currently used by ~75 international projects where metadata about files and documents needs to be maintained. Many companies, including Intel and Microsoft have shown great interest in Dublin Core

  12. Dublin Core Elements

  13. NEEScentral http://central.nees.org System of Hierarchical Folders Documents uploaded into these folders contain the majority of information about a project Some metadata information can be entered directly for projects, experiments, trials, and documents

  14. Recommend Use of NEEScentral Managing Research Data in NEEScentral by Tim Warnock and Lelli Van Den Einde Very good start describing what files to upload into the hierarchy. However, no document explaining the contact information, and project roles for people and organizations was recommended Metadata about each file was not specified

  15. Recommended Metadata for Each File in NEEScentral

  16. References • Industry Foundation Classes Architecture Description http://www.iai-international.org/Model/R2x2_add1/order_by_architecture.html • Dublin Core Introductory Guide http://www.w3schools.com/rdf/rdf_dublin.asp • Managing Research Data in NEEScentral http://it.nees.org/documentation/library/data_metadata/000281.php • KU Data Model for Structural Engineering Research http://neespop.ceae.ku.edu/ontologies/damster.owl

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