The amount of online data that supplies geo-spatial and temporal metadata has grown rapidly in recent years. Social networks like Twitter, Flickr, and YouTube are popular providers of masses of data that are hard to browse. Our europeana 4D interface – e4D – enables comparative visualisation of multiple queries and supports data annotated with time span data. We implemented our design in a prototype application in the context of the European project EuropeanaConnect. It is based on a client-server architecture that charges the client with the main functionality of the system.

1. Controlled Vocabularies and Text Mining - Use
Cases at the Goettingen
State and University Library
Ralf Stockmann (UGOE)

2. ENVIRONMENTS
Enhanced
Context-Search
RESEARCH
Visualisation
Multilingual
Annotation
Access
Tools Scholars
Crowd-
sourcing
COMPUTING
Textmining DBPedia
Relationship , ...
Graphs
Named Entity Libraries
Recognition
Reposi-
tories
Linked Open
Data
RESSOURCES
Metadata Ontologies
DATA
Catalog Data
OCR/Fulltext

3. ENVIRONMENTS
Enhanced
Context-Search
RESEARCH
Visualisation
Multilingual
Annotation
Access
Tools Scholars
Crowd-
sourcing
Use case #1:
COMPUTING
Textmining DBPedia
eAqua Relationship , ...
Graphs
Named Entity Libraries
Recognition
Reposi-
tories
Linked Open
Data
RESSOURCES
Metadata Ontologies
DATA
Catalog Data
OCR/Fulltext

4. Projekt: eAqua
• Partners:
– Institut of Computer Science - Computerlinguistic,
Leipzig (Büchler, Eckart, Heyer, Baumgardt)
– SUB Göttingen (Stockmann, Kothe, Mahnke)
• Comparing semantic graphs between
– Headings of journal articles and
– Fulltext of the same articles

5. Search Term „socialism“ on title
elements

6. „Mephisto“ on fulltext

7. ENVIRONMENTS
Enhanced
Context-Search
RESEARCH
Visualisation
Multilingual
Annotation
Access
Tools Scholars
Crowd-
sourcing
Use case #2:
COMPUTING
Textmining DBPedia
Europeana 4D visualisation Relationship , ...
Graphs
Named Entity Libraries
Recognition
Reposi-
tories
Linked Open
Data
RESSOURCES
- Prof. Dr. Gerik Scheuermann Metadata Ontologies
DATA
- Stefan Jänicke
- Christian Mahnke
Catalog Data
- Ralf Stockmann OCR/Fulltext

8. Concept
MAP

9. Concept
MAP TIMELINE

10. Concept
MAP TIMELINE

11. Refinement
• Multiple data layers
• Interaction
• Animation
• Aggregation of data
• Connections
• Drilldown
• Historical/custom
maps
• Result table
• Splitting Datasets
• ...

13. Technological Framework
• OpenLayers
• Simile Timeline/Timeplot
• GeoNames (Geoparser...)
• Explorer Canvas (Google)
• GeoServer (OpenStreetmap, Google Maps)
• Google Web Toolkit (GWT)
• KML (XML)

14. Data Model
WHAT?
NAME
MANDATORY
description
optional
url
WHERE? KML WHEN?
COORDINATES TIMESTAMP
address range

15. Exchange Format: KML (XML)

16. Questonnaire

17. Questonnaire

18. Questonnaire

19. Questonnaire

20. Questonnaire

21. Datasets
• Library catalog
Flickr: „tsunami“
• Flickr
• IMDB
• DBpedia
• WikiLeaks

22. Use your own data in 5 easy steps!
1. Take a look at the .kml specification
http://tinyurl.com/e4d-kml
2. Build your own KML dataset
3. Upload it to a webserver
4. Put the URL into the prototype at http://tinyurl.com/e4d-
demo
5. Share your set via the magnetic link!

23. Ressources
• e4D info website:
• Europeana thoughtLab:
http://www.europeana.eu/portal/thoughtlab.
html