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Unified Domain Model for Astronomy

This document discusses the Unified Domain Model (UDM) for Astronomy, aiming to find a place for seemingly disparate sub-areas in the domain model. It explores the background, goals, methodology, language (UML), content, binding (XML Schema, Java), and usage of the UDM.

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Unified Domain Model for Astronomy

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  1. Gerard Lemson, IVOA DM 28/5/2004

  2. Unified domain model for Astronomy“Much maligned and misunderstood”(anonymous)with Pat Dowler and Tony Banday (MPA) • Background/goals • Methodology (analysis model) • Language (UML) • Content • Binding (XML Schema, Java, …) • Usage (views) Gerard Lemson, IVOA DM 28/5/2004

  3. Goal • Find place for (seemingly) disparate sub-areas in DM: quantity-observation-simulation-phenomenology(-proposal ?) Background: analysis phase in software design • Understand the “universe of discourse” (problem domain) Benefits • Patterns for design and implementation models. • Formalize “comparability” • Domain model as Esperanto • Domain model == ontology ? Gerard Lemson, IVOA DM 28/5/2004

  4. Gerard Lemson, IVOA DM 28/5/2004

  5. Gerard Lemson, IVOA DM 28/5/2004

  6. Methodology • Object oriented analysis: • “a method of analysis in which requirements are examined from the perspective of the classes and objects found in the vocabulary of the problem domain.” (Booch) • Universe of Discourse • ”.. the world(or universe) that we are interested in talking (or discoursing) about” (Halpin) • List concepts and relations • Translate into formal language (UML) • Normalized • Explicit • Patterns Gerard Lemson, IVOA DM 28/5/2004

  7. UML Gerard Lemson, IVOA DM 28/5/2004

  8. Universe of Discourse for VO We want to talk/discourse about the work that astronomers, astrophysicists and support scientists do and the results they have obtained We want to do this in a scientifically rigorous manner Gerard Lemson, IVOA DM 28/5/2004

  9. Concepts experiment, observation, simulation, result, protocol, objective (observable, goal), variable (dependent, independent), measurement, value, quantity, category, uncertainty, confidence, error, classification, identification, phenomenon, property, subject (body, substance, space, ...), unit, reference system, representation, standard, physical artifact, file, table Gerard Lemson, IVOA DM 28/5/2004

  10. Analysis pattern:Observation and MeasurementMartin Fowler 1997, Analysis Patterns, Addisson Wesley Gerard Lemson, IVOA DM 28/5/2004

  11. SI http://physics.nist.gov/cuu/Units/introduction.html . A quantity in the general sense is a property ascribed to phenomena, bodies, or substances that can be quantified for, or assigned to, a particular phenomenon, body, or substance. Examples are mass and electric charge. A quantity in the particular sense is a quantifiable or assignable property ascribed to a particular phenomenon, body, or substance. Examples are the mass of the moon and the electric charge of the proton. A physical quantity is a quantity that can be used in the mathematical equations of science and technology. A unit is a particular physical quantity, defined and adopted by convention, with which other particular quantities of the same kind are compared to express their value. The value of a physical quantity is the quantitative expression of a particular physical quantity as the product of a number and a unit, the number being its numerical value. Thus, the numerical value of a particular physical quantity depends on the unit in which it is expressed. Gerard Lemson, IVOA DM 28/5/2004

  12. Gerard Lemson, IVOA DM 28/5/2004

  13. Gerard Lemson, IVOA DM 28/5/2004

  14. Gerard Lemson, IVOA DM 28/5/2004

  15. Gerard Lemson, IVOA DM 28/5/2004

  16. Gerard Lemson, IVOA DM 28/5/2004

  17. Gerard Lemson, IVOA DM 28/5/2004

  18. Gerard Lemson, IVOA DM 28/5/2004

  19. Binding • XML Schema • Presentation during registry telecon • Formalize bindings as XSLT working on XMI representation of UML diagrams • Example: • Java + hibernate mapping files + AXIS Java2WSDL == metadata repository Gerard Lemson, IVOA DM 28/5/2004

  20. Usage • Complex model • Simplify using view concept • Example from RDB (email to Francois Bonnarel, link) • XSLT for translation between domain XSD and application-specific derived schemas. Gerard Lemson, IVOA DM 28/5/2004

  21. CREATE VIEW SEXTRACTOR_GALAXIES AS SELECT S.RA AS _RAJ2000, S.DEC AS _DECJ2000, -2.5 * LOG(S.FLUX) AS M_APP, S.CLASSIFICATION, I.STORAGE_URL AS IMAGE FROM SOURCE S, SOURCE_CATALOGUE SC, IMAGE I, SOURCE_EXTRACTOR AS SE WHERE S.CLASS = ‘GALAXY’ AND S.FLUX < 15 AND S.CATALOGUE_ID = SC.ID AND IMAGE.ID = SC.IMAGE_ID AND SC.EXTRACTED_WITH = SOURCE_EXTRACTOR.ID AND SE.IDENTIFIER = ‘SExtractor’ Gerard Lemson, IVOA DM 28/5/2004

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