controlled vocabularies and text mining - use cases at the goettingen
DESCRIPTION
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.TRANSCRIPT
Controlled Vocabularies and Text Mining - Use Cases at the Goettingen State and University LibraryRalf Stockmann (UGOE)
DATA
RESS
OU
RCES
COM
PUTI
NG
RESE
ARCH
ENVI
RON
MEN
TS
Textmining
Enhanced Context-Search
Multilingual Access
DBPedia, ...
Visualisation
Metadata
OCR/Fulltext
Named Entity Recognition
Catalog Data
Crowd- sourcing
Annotation Tools
Relationship Graphs
Linked Open Data
Ontologies
Scholars
Libraries
Reposi-tories
DATA
RESS
OU
RCES
COM
PUTI
NG
RESE
ARCH
ENVI
RON
MEN
TS
Textmining
Enhanced Context-Search
Multilingual Access
DBPedia, ...
Visualisation
Metadata
OCR/Fulltext
Named Entity Recognition
Catalog Data
Crowd- sourcing
Annotation Tools
Relationship Graphs
Linked Open Data
Ontologies
Scholars
Libraries
Reposi-tories
Use case #1:
eAqua
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
Search Term „socialism“ on title elements
„Mephisto“ on fulltext
DATA
RESS
OU
RCES
COM
PUTI
NG
RESE
ARCH
ENVI
RON
MEN
TS
Textmining
Enhanced Context-Search
Multilingual Access
DBPedia, ...
Visualisation
Metadata
OCR/Fulltext
Named Entity Recognition
Catalog Data
Crowd- sourcing
Annotation Tools
Relationship Graphs
Linked Open Data
Ontologies
Scholars
Libraries
Reposi-tories
Use case #2:
Europeana 4D visualisation
- Prof. Dr. Gerik Scheuermann- Stefan Jänicke- Christian Mahnke- Ralf Stockmann
Concept
MAP
Concept
MAP TIMELINE
Concept
MAP TIMELINE
• Multiple data layers• Interaction• Animation• Aggregation of data• Connections• Drilldown• Historical/custom
maps• Result table• Splitting Datasets• ...
Refinement
Technological Framework
• OpenLayers• Simile Timeline/Timeplot• GeoNames (Geoparser...)• Explorer Canvas (Google)• GeoServer (OpenStreetmap, Google Maps)• Google Web Toolkit (GWT)• KML (XML)
KML
Data Model
WHAT?
WHERE? WHEN?
NAME
description
url
COORDINATES
address
TIMESTAMP
range
MANDATORY
optional
Exchange Format: KML (XML)
Questonnaire
Who was the first football playerborn on the continent and playing for an English team?
Questonnaire
In how many years more museumsare established
in the western states of the USA than
in the eastern states?
Questonnaire
In how many years more museums
are founded in the western states
of the USA than in the eastern states?
Questonnaire
In how many years more museums
are founded in the western states
of the USA than in the eastern states?
Questonnaire
Iraq police claims „only 265 civilian casualties since March 2007 in
Bagdhad“. Are they right?
Datasets
• Library catalog• Flickr• IMDB• DBpedia• WikiLeaks
Flickr: „tsunami“
Use your own data in 5 easy steps!
1. Take a look at the .kml specificationhttp://tinyurl.com/e4d-kml
2. Build your own KML dataset3. Upload it to a webserver4. Put the URL into the prototype at http://tinyurl.com/e4d-
demo5. Share your set via the magnetic link!
Ressources
• e4D info website:
• Europeana thoughtLab: http://www.europeana.eu/portal/thoughtlab.html