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Simulation data model. Overview. Goal and approach Domain model Logical model Discussion Other data models IVOA Concrete Usage in query protocol. Goals. Describe spatial simulations for SNAP (  SSSAP ?) Use in Discovery (simulation registry) Query phase in SSSAP protocol

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simulation data model

Simulation data model

SNAP data model

overview
Overview
  • Goal and approach
  • Domain model
  • Logical model
  • Discussion
  • Other data models
    • IVOA
    • Concrete
  • Usage in query protocol

SNAP data model

goals
Goals
  • Describe spatial simulations for SNAP ( SSSAP ?)
  • Use in
    • Discovery (simulation registry)
    • Query phase in SSSAP protocol
    • Meta data in returned data
  • See whether we can produce a model serving other types of simulations as well.

SNAP data model

modeling approach
Modeling approach
  • Step 1: Analyse “universe of discourse”, resulting in a domain model :
    • Application independent
    • Implementation (language) neutral (UML)
  • Step 2: Specialise to requirements, create logical model
    • Application dependent
    • Implementation neutral (UML)
  • Step 3: create mappings to implementation languages, physical model:
    • XML schema
    • Relational database schema

SNAP data model

simulation domain model
Simulation domain model
  • Based on “domain model for astronomy” http://www.ivoa.net/internal/IVOA/IvoaDataModel/DomainModelv0.9.1.doc
  • Main areas/namespaces:
    • Experiment
    • Protocol
    • Phenomenology
    • Storage
    • Standards
    • Model

SNAP data model

slide6

Domain model overview

SNAP data model

slide7

Domain model

packages

SNAP data model

slide8

Domain model

experiment

SNAP data model

slide9

Domain model

protocol

SNAP data model

slide10

Domain model

phenomenology

SNAP data model

slide11

Experiment:simulation

Protocol::simulation

SNAP data model

logical model
Logical model
  • Not aim to describe all details of simulations, nor all types of simulations
  • Focus on those aspects of interest to
    • discover interesting SNAP services
    • query a SNAP service for interesting simulations
    • provide meta data for a data product produced by SNAP service
  • How to find out? Ask scientists (as well as ourselves)!

SNAP data model

example questions
Example questions
  • What questions would you ask a database containing (meta-data about) simulations:
    • What is simulation about?
    • What physical processes are implemented?
    • What values do certain parameters have?
    • What observables are provided?
    • What are characteristics of observables?
    • What type of data products can be returned?
    • What special data products can be provided as well?
    • What special services are available on server?

SNAP data model

logical model14
Logical model
  • For our purposes (SNAP), a simulation is

the execution of software that produces a representation of a spatial system, and possibly follows its evolution in time by approximating the true physical processes of the system with numerical algorithms.

SNAP data model

slide15

Logical model

(see wiki page

and doc)

SNAP data model

relations to other dms
Relations to other DMs
  • DM WG
    • Characterisation
    • Quantity (?!)
  • Resource Registry WG
    • Resource Metadata
  • Semantics WG
    • UCD
    • standard vocabulary
    • Ontology of astronomical object types

SNAP data model

characterisation
Characterisation
  • We have a generalisation of (part of?) characterisation
    • a priori and a posteriori
    • No support/fill, do we need it? How?
    • No accuracy/sensitivity, do we need it? How?
  • How do we proceed?
    • use Characterisation patterns
    • use implementation
  • ACTION ITEM
    • “tiger team” to complete this aspect of model

SNAP data model

resource metadata
Resource Metadata
  • Registration of SNAP resources
  • Registration of related services
  • Description of simulations published through SNAP sufficient?
  • ACTION ITEM
    • “tiger team” for proposing how/what to register

SNAP data model

semantics
Semantics
  • Various usages of standard vocabularies, ontologies
  • Are the current lists sufficient for SNAP+Simulation description/querying?
  • What is missing?
  • ACTION ITEM
    • “tiger team” to evaluate this
    • propose more concepts
    • push for getting such lists accepted in IVOA

SNAP data model

quantity
Quantity (?)
  • Could this DM play a role in defining how different data products are stored? Can be retrieved?
  • Possibly suggest standard representations for complex data structures.
  • Possibly suggest bindings to various popular languages.
  • Opinions...?

SNAP data model

mapping of concrete models
Mapping of concrete models
  • Need to validate our model by checking whether concrete models “out there” are properly supported
    • ITVO data model
    • Horizon data model
    • GalICS data model
    • Data model from OWLS-GIMIC HDF-5 files
    • GAVO hydrosims data model
    • Millennium database data model
    • Example input parameter files

SNAP data model

usage of data model
Usage of data model
  • Query protocols
    • HTTP
    • ADQL
  • Serialisation
    • XML schema
    • Relational database schema

SNAP data model

http get
HTTP GET
  • Parameter-value based
  • Not simple if underlying model complex (or is it?)
  • At least not in one query  use multiple queries: drill-down
  • Requires more sophisticated (web) applications, possibly session aware.
  • Useful to have this done in a centralised meta data repository.

SNAP data model

slide25
ADQL
  • SQL based
  • Requires relational mapping (see later)
  • Requires supporting a relational database as well as ADQL
  • Again, useful to have a limited number of meta-data repositories (registry++?).

SNAP data model

mappings see doc
Mappings (see doc)
  • XML schema
    • Mapping prescription (http://www.ivoa.net/twiki/bin/view/IVOA/VOResource010RevNotes)
    • Can be automated (XSLT or ArchitectureWare from XMI files)
  • Relational model
    • Simpler and rather many standards for OR mapping (JDO, Hibernate)
    • For ADQL/TAP? need some extra files to provide database metadata
  • If agree on mappings, both can be postponed until UML is done.

SNAP data model

how to proceed

How to proceed.

SNAP data model

todo items
TODO items
  • Previously mentioned teams for ironing out certain issues wrt other IVOA efforts
    • characterisation
    • ontologies
    • registry model
    • quantity
  • Test cases
    • map concrete models to SNAP model
    • implement services
  • Gather feedback from community
    • explanatory document
    • questionnaire
    • incorporate comments
    • Euro-VO DCA TEG

SNAP data model