Controlled Vocabularies and Text Mining - Use Cases at the Goettingen
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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.
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Controlled Vocabularies and Text Mining - Use Cases at the Goettingen
- 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
- 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