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Exhibition recommendation 
using 
British Museum data 
and 
Event Registry
Introduction 
• Group 1: Ninja Turtles 
• Kahina SEMAR-BITAH 
• Mohamed BEN ELLEFI 
• Aljaz KOSMERLJ 
• Peter CLARKE 
• Tutors 
• Barry NORTON 
• José María GARCÍA 
• 
•
Problem Definition 
• Exhibition data (time, date etc.) is stored in natural text 
in web pages and currently not stored as Linked Data. 
• Why is this an issue? 
• What could we do with this information in RDF format?
User workflow
Technology stack
British Museum schema
RETRIEVING BRITISH MUSEUM DATA 
• Example SPARQL query used to retrieve labels that will 
map to Dbpedia concept: 
• In this case, British Museum prefLabels correspond to 
DBpedia concepts with high accuracy.
Event Registry Integration 
http://eventregistry.org/json/event?action=getEvents&conceptUri=http://en.wikipedia.org/wiki/Vikings&conce 
ptUri=http://en.wikipedia.org/wiki/Museum&conceptUri=http://en.wikipedia.org/wiki/Art_exhibition&category 
Uri=http://www.dmoz.org/Reference/Museums&sortBy=rel&conceptLang=eng&page=0&count=25&resultTy 
pe=list
Title 
Location 
Descriptio 
n 
Time??? 
Event Registry Integration
Event Registry Integration 
eventregistry.org/json/event?action=getEvent&eventUri=443353&resultType=dateMentionAggr 
{"dateMentionAggr":[{"date":"2001-09-11", "count":1.000000}, {"date":"2014-03-05", 
"count":5.000000}, {"date":"2014-02-27", "count":1.000000}, {"date":"2014-06-22", 
"count":1.000000}]} 
Filter out according 
to some predefined 
time window 
M 
I 
N 
M 
A 
X 
Exhibition Duration 
2014-02-27 2014-06-22
Application PROTOTYPE
lESSONS LEARNED 
• Important to use URIs rather than text for presenting 
content (DBpedia URI vs “China exhibition”) 
• In order to be more useful we would need to scrape 
prefLabels from a number of instances. 
• Time durations are inaccurate.
ASSUMPTIONS 
• Assumes a very, very general search over the British 
Museum data. 
• Assumes a method of aggregating potentially large 
number of EventRegistry results of a unreliable quality.
Future Work 
• Integrate databases from a broader range of museums, 
i.e. worldwide. 
• Extend functionality by creating user profiles, e.g. 
student studying Egyptian Civilization. 
• More accurate time period ranges. 
• Utilize tools such as SILK or LIMES for interlinking of 
museum concepts with DBpedia concepts. 
• Create more robust and feature-rich interface.
THANK YOU! 
EventRegistry 
DBpedia 
SPARQL

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Exhibition recommendation using British Museum data and Event Registry - ESWC SSchool 14 - Student project

  • 1. Exhibition recommendation using British Museum data and Event Registry
  • 2. Introduction • Group 1: Ninja Turtles • Kahina SEMAR-BITAH • Mohamed BEN ELLEFI • Aljaz KOSMERLJ • Peter CLARKE • Tutors • Barry NORTON • José María GARCÍA • •
  • 3. Problem Definition • Exhibition data (time, date etc.) is stored in natural text in web pages and currently not stored as Linked Data. • Why is this an issue? • What could we do with this information in RDF format?
  • 7.
  • 8. RETRIEVING BRITISH MUSEUM DATA • Example SPARQL query used to retrieve labels that will map to Dbpedia concept: • In this case, British Museum prefLabels correspond to DBpedia concepts with high accuracy.
  • 9. Event Registry Integration http://eventregistry.org/json/event?action=getEvents&conceptUri=http://en.wikipedia.org/wiki/Vikings&conce ptUri=http://en.wikipedia.org/wiki/Museum&conceptUri=http://en.wikipedia.org/wiki/Art_exhibition&category Uri=http://www.dmoz.org/Reference/Museums&sortBy=rel&conceptLang=eng&page=0&count=25&resultTy pe=list
  • 10. Title Location Descriptio n Time??? Event Registry Integration
  • 11. Event Registry Integration eventregistry.org/json/event?action=getEvent&eventUri=443353&resultType=dateMentionAggr {"dateMentionAggr":[{"date":"2001-09-11", "count":1.000000}, {"date":"2014-03-05", "count":5.000000}, {"date":"2014-02-27", "count":1.000000}, {"date":"2014-06-22", "count":1.000000}]} Filter out according to some predefined time window M I N M A X Exhibition Duration 2014-02-27 2014-06-22
  • 13. lESSONS LEARNED • Important to use URIs rather than text for presenting content (DBpedia URI vs “China exhibition”) • In order to be more useful we would need to scrape prefLabels from a number of instances. • Time durations are inaccurate.
  • 14. ASSUMPTIONS • Assumes a very, very general search over the British Museum data. • Assumes a method of aggregating potentially large number of EventRegistry results of a unreliable quality.
  • 15. Future Work • Integrate databases from a broader range of museums, i.e. worldwide. • Extend functionality by creating user profiles, e.g. student studying Egyptian Civilization. • More accurate time period ranges. • Utilize tools such as SILK or LIMES for interlinking of museum concepts with DBpedia concepts. • Create more robust and feature-rich interface.
  • 16. THANK YOU! EventRegistry DBpedia SPARQL