Structuring and Visualizing Microgravity Material Science Data in a Topic Maps Ontology

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Structuring and Visualizing Microgravity
Material Science Data in a Topic Maps Ontology
PV 2009ESA, Villafranca del CastilloDecember
2, 2009
(1)
(1)
(1)
(1)
Alois Grimbach
Philipp Wever
Stephan Schneider
Rainer Willnecker
(1)
German Aerospace Center DLR, Cologne, Germany
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Roadmap

• Motivation
• The TEMPUS Hypertest Data Management System
• A Semantic Approach with Topic Maps
• The Hypergator Application
• Conclusion and Outlook

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Motivation

• Increasing amount and versatility of data for
  various projects
• ? Hypertest Data Archive (Werum/DLR since 2005)
• Enhance the data archive using semantic
  techniques (since 2008)
• Triggered by upcoming FP7 ULISSE Project (Launch
  2009)

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TEMPUS (Containerless Electromagnetic Processing
under Microgravity)

• Developed by DLR for Spacelab Experiments
• Parabolic Flights since 1988
• Since 2001 min. 1 Parabolic Flight per year with
  A300 Zero G
• Semi-automatic Data Ingestion
• into Hypertest Data Archive
• Manual Metadata Description

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Metadata in the TEMPUS Hypertest Instance
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? Organise Available Data in Topic Maps
Questions

• What about Navigation ?
• What about Metadata Extension ?
• What about Including External Data / Information
  ?
• What about Information Interconnection?

and Merge Additional Information
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Determine Association Types
Assign Roles to Association Types
Determine Topic Types
Extract Metadata and Map them to Topics
Look for Occurence Types
Topic Maps Ontology
Topic Type PF Campaign
Topic Type Parabola
Topic Type Person
8th Parabolic Flight Campaign
Parabola_1920080411
Anton Apfel
Association Type
Part of
Participation
Experiment Run
Principal Investigator
Bertram Baum
Participation
Role Types
Usage
Experiment Run
Occurence Types Parabola Number Process
Atmosphere Video Streaming Script
Principal Investigator
Kurt Kern
Ni25Al75
Topic Type Person
Topic Type Alloy
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Populating the TEMPUS Topic Map
Instantiate Topics,
Associations,
Roles
Association Type Participation
Topic Type Parabola
Role Type PI
Occurences
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The Hypergator System Architecture
TEMPUS Hypertest System
Hypergator Application
Populate Topic Map and Merge Information
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The Hypergator Application

• Browsing the scientific content via an
  intuitively usable Web-Frontend
• Accessing and Describing tacit knowledge by
  browsing associations
• Knowledge domain contained in XTM Topic Map
• Topic Map Occurrences represent resources on
  external data sources
• Access to original data sources via JSP Servlets
• Access to the Topic Map via the Ontopia Knowledge
  Framework
• Querying the knowledge domain with the tolog
  query language

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The Hypergator User Frontend
Detail data
Navigation area
Semanticconnectivity
Access to original data source
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Looking at a use case
Which Copper based materials have been used so
far in DLR Parabolic Flight Campaigns?
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All these Copper based materials have been used
so far !
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All these Tantalium based Materials have been
used so far !
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In which parabola(s) has Cu25Ni75Ta205 been
used?
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In which parabola(s) has Cu25Ni75Ta205 been
used?
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To which experiment does the parabola belong to?
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Which organizations have participated in that
experiment?
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Conclusion and Outlook

• Goal
• Applying semantic techologies to a productive
  data archive
• and assess its benefit
• Hypergator Web Application Developed
• Populated Topic Map with 700 Parabolas and
  Existing Metadata
• Domain expert performing a cognitive walkthrough
  to accomplish a predefined task using the
  Hypergator Web Application
• Future prospect
• Enrichment of the application with supplemental
  information
• Questionning is being investigated by FP7
  Programme ULISSE in the larger context of space
  experimentation pursuing
• Valorisation, Dissemination and Exploitation of
  µg Scientific Data

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MUSC Point of Contacts

• Project Members
• Alois.Grimbach_at_dlr.de
• Philipp.Wever_at_dlr.de
• Stephan.Schneider_at_dlr.de
• Head of Microgravity User Support Center (MUSC)
• Rainer.Willnecker_at_dlr.de