Transcript Jessie Kennedy

RDF, Ontologies and MetaData Workshop
7-9th June
Prof. Jessie Kennedy
e-SI Research Theme Leader
e-SI Theme:
Exploiting Diverse Sources of Scientific Data
e-SI Research Theme
Exploiting Diverse Sources of Scientific Data
Wealth and diversity of scientific data collected and
stored is growing rapidly
Increase in automation
Genetic sequencing, remote sensing, astronomy satellites
Decrease in technological costs
Huge potential for scientific discovery by exploiting this
data
especially multi-disciplinary research
Number, complexity and diversity of resources makes
this a difficult task
Aim of theme is to investigate some of the issues and
solutions to exploiting diverse sources of scientific
data.
Exploiting Diverse Sources of Scientific Data
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Workshops hosted in theme:
 Spatiotemporal Databases for Geosciences, Biomedical
Sciences and Physical sciences, eSI, 1-2 November 2005
 Oracle Corporation and the e-Science Institute Seminar Temporal Database in Depth: Time and the Data Warehouse,
eSI, 3 November 2005
 The Second Workshop on Scientific Data Mining, Integration
and Visualization (SDMIV2), eSI, December 2005
 DIALOGUE meeting, 9-10 February 2006
 Integrated Health Records - Practice and Technology, 9-10
March 2006
 Taxonomic Databases Working Group (TDWG) Technical
Architecture Group meeting, 11 April 2006
 Taxonomic Databases Working Group (TDWG) Core Ontology
meeting, 16-18 May 2006
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Recurring Issues/Focus
Metadata, Terminologies and Ontologies needed…
Data discovery for sharing/analysis (integrating)
Understanding the content of data sets
Automatic transformations (semantic mediation)
Will these solve the problems?
Architectures for Data Integration
What strategies used for data integration
workflow architectures
grid architectures
Others?
What are they and how do they compare?
GUIDs
What gets a GUID? Who issues them? What technology?
Exploiting Diverse Sources of Scientific Data
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Metadata and Ontologies
Issues
Standardisation of formats
Creation of metadata and ontologies
Manual and automatic
For whom and by whom?
Many or one ontology (granularity)?
How do we integrate them or map between them?
How do we choose which to use/reuse?
How do we know data is suitable for our purpose?
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RDF, Ontologies and Meta-Data
Workshop
Seminar on RDF and Oracle's RDF triple store
Evaluation/Experiences of RDF triple stores
Semantic Mediation and Architectures
Experience of Building/Using Ontologies
Meta-Data, LSIDs, Ontologies for Schema/Data
Integration
Lots of Q&A and Discussion
ask those questions that have been bothering you!!!
Theme/Workshop Wiki: http://wiki.esi.ac.uk
Use it to register your questions for discussion or for
particular speakers
Suggest new follow-on workshops
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Enjoy the Workshop!
e-SI Theme:
Exploiting Diverse Sources of Scientific Data