Human Factors of XR: Using Human Factors to Design XR Systems
EUscreen outcomes @FIAT World Conference 2012
1. Exploring Europe's Television Heritage in Changing Contexts
FIAT/IFTA World Conference 2012
EUscreen Workshop
EUscreen outcomes
Marco RENDINA, Cinecittà Luce
m.rendina@cinecittaluce.it
September 30, 2012
Connected to:
London, England
Funded by the European Commission within the eContentplus www.euscreen.eu
programme
2. IN A NUTSHELL
eContentplus Best Practice Network
27 partners (incl 19 archives) + associates
Started in October 2009
Duration 36 Months
provide 35.000 TV related items to Europeana
5. SELECTION POLICY
Historical Topics
Comparative Virtual Exhibition
Special Collections
Connected to:
Funded by the European Commission within the eContentplus programme www.euscreen.eu
6. METADATA-ELEMENTS
39 elements (18 mandatories)
Based on EBUcore
Mapped to the Europeana
Data Model
Connected to:
Funded by the European Commission within the eContentplus programme www.euscreen.eu
18. Going beyond search
Connected to:
Funded by the European Commission within the eContentplus programme www.euscreen.eu
19.
20. EUscreen LOD pilot
EUscreen
DBpedia Geonames NY Times Eurostat
Connected to:
Funded by the European Commission within the eContentplus programme www.euscreen.eu
23. For more information go to:
http://www.euscreen.eu
http://lod.euscreen.eu
http://demo.euscreen.eu
Connected to:
Funded by the European Commission within the eContentplus programme www.euscreen.eu
Editor's Notes
PVM
aka MINT: metadata interoperability tool, developed by the NTUA, allows - batch upload of metadata content in xml format - schema mapping (I will show you some details iaw) - quality control of imported data (missing values, malformed data, etc.) and statistics (items imported, number of references for specific values, etc.) - allows also the possibility to preview uploaded items as it will appear in the Europeana website
On the left side I have my source schema inferred by the submitted xml. On the right side I have the EUscreen schema. clicking on a element from the source schema, I can obtain the following information: - The XML namespace to which this element belongs - The number of times the XPath of this element exists in the imported dataset. - The number of unique values associated with this XPath in the imported dataset - A sample of these values sorted by their frequency of appearance in the imported dataset
As I said, is possible to perform more complex tasks. By clicking on this star I can perform conditional mappings, even in a complex way (adding clauses and sub-clauses)
the output of this mapping process will be an xls file I can re-use for the transformation of my metadata into EUscreen/EBUcore schema. and the output in both formats: EUscreen and EBUcore
In order to publish this data as Linked Data, we have converted it to the Resource Description Framework (RDF) format, and structured it using the EBU Core ontology . More specifically the procudure followed is illustrated in the figure below. We have implemented a mapping of all the harvesting schemas's elements to classes and properties of the EBU Core ontology. Therefore every provider's instance that has been transformed according to the harvesting schema, is also transformed to an RDF file. This file is then stored in a triplestore repository (the triplestore used is 4store ) from where the users can consume data using SPARQL .
Sound and Vision developer Jaap Blom has visualised the EUscreen dataset chronologically by creating a timeline. It ’ s only a very preliminary version, and your comments are welcome. The application was built using the open-source data visualisation widget SIMILE .
Communication Media and Design student Tjerk Smit has visualised the EUscreen dataset by dissecting the various strands of information and building it into an interconnected network that you can play around with to see what percentage of the collection has what level of content and create an abstract work of art on the go. Find the visualisation at: http://rdbg.tuxic.nl/euscreendemos/datavisualisation/