1. Presentation By: Kishoj Bajracharya
Roll Number: st111224
Topic: DBpedia Mobile

2. Location Based Application
of the Linked data
DBpedia Mobile: A Location
Aware Semantic Web Client
KISHOJ BAJRACHARYA
Roll No : 111224

3. Linked Data
A set of best practices for publishing and connecting
structured data on the Web.
Principle of Linked data
Use URIs as names for things.
Use HTTP URIs so that people can look up those
names.
When someone looks up a URI, provide useful
information, using the standard formats.
Include links to other URIs for discovering more
things.

4. Example of Publishing Linked Data using
D2R Server

5. Linking Open Data Cloud Diagram
Only 25 dataset on 2007-10-08

6. Linking Open Data Cloud Diagram
203 dataset on 2010-09-22

7. Example of Consuming Linked data

8. What is this paper all about?
Location based applications
Useful for tourists.
Exploration of the places while visiting new places.
Using Mobile phone as a guide.
Getting other relevant information of nearby places.
Based on the current GPS position, locates the
position of user.

9. What is this paper all about? (Contd.)

10. What is this paper all about? (Contd.)
Use position of the user to build SPARQL query and run it
against different SPARQL endpoints, gather all relevant
data.
Data are retrieve from multiple linked data sources.
Renders a map indicating nearby locations with current
position & display background information.
Discover, search and publish Linked Data on the
Semantic Web using their mobile devices.
Publishing content is interlinked with a nearby DBpedia
resource.

11. Why this paper is useful?
Growing of linked open data cloud.
Easy accessibility of linked data using SPARQL
query.
A real location based application of linked data which
is very useful
Support in many smart phones web-browser and all
major desktop browsers. Example: Safari on iPhone
or Opera Mobile 8 on Windows Mobile, etc.

12. Why this paper is useful?
For desktop browsers, location estimated based on
his IP address location.
Performs "geo-tagging" to "resource-tagging" and
allows users to contribute to Geospatial Semantic
Web.
Discover, search and publish Linked Data on the
Semantic Web using their mobile devices

13. How
Mobile phone’s GPS receiver => Location w.r.t.
latitude & longitude.
From latitude & longitude => Original location
geo:lat
geo:long
SPARQL queries are run against different SPARQL
endpoints of different linked data sources.

14. How (Contd.)
Data sources used are:
GeoNames: For locations
Flickr TM wrapper: For images.
Factbook: Provides statistical information about location.
Revyu: Review about a location
Yago: Information for location (museums, monuments, train
stations)
FOAF profile by individual based on worked at, were born at

15. Example
http://www.geonames.org/maps/showOnMap?q=Ba
ngkok

16. Example of application that display
images from RDF of Flickr TM Wrapper

17. Running SPARQL query on Revyu
SPARQL Endpoint

18. SPARQL response from Revyu SPARQL
Endpoint

19. Data Sources:

20. How (Contd.)
Retrieves interlinked data from the Web.
Caches retrieved data in a server-side RDF store.
Dereferences the resource URI.
Query the Sindice Semantic Web search engine for
related information, as well as Revyu for reviews.

21. DBpedia Mobile (Demo)

24. Filter Information
To limit the display to resources, SPARQL filter is
used.

25. Filter Information(Contd.)

26. Publishing Linked data to Web
User may publish his current location, photos &
reviews, interlinked with DBpedia resources.

27. Publishing Linked data to Web (Contd.)
Log in and opens the Content Creation Panel.
Select the type of information to publish (i.e. position,
photo or review)
Choose a DBpedia location to be used to tag the
publish.

28. References
http://linkeddata.org/
http://www.w3.org/DesignIssues/LinkedData.html
http://richard.cyganiak.de/2007/10/lod/
http://wiki.dbpedia.org/DBpediaMobile
http://beckr.org/DBpediaMobile/

29. THANK YOU ALL FOR YOUR
KIND ATTENTION
QUESTIONS???