Presentation By: Kishoj Bajracharya

Roll Number: st111224

Topic: DBpedia Mobile

Location Based Application

of the Linked data

KISHOJ BAJRACHARYA

Roll No : 111224

DBpedia Mobile: A Location

Aware Semantic Web Client

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 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.

Example of Publishing Linked Data using

D2R Server

Linking Open Data Cloud Diagram

Only 25 dataset on 2007-10-08

Linking Open Data Cloud Diagram

203 dataset on 2010-09-22

Example of Consuming Linked data

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.

What is this paper all about? (Contd.)

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.

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 iPhoneor Opera Mobile 8 on Windows Mobile, etc.

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 allows users to contribute to Geospatial Semantic Web.

� Discover, search and publish Linked Data on the Semantic Web using their mobile devices

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.

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

Example

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

ngkok

Example of application that display

images from RDF of Flickr TM Wrapper

Running SPARQL query on Revyu

SPARQL Endpoint

SPARQL response from Revyu SPARQL

Endpoint

Data Sources:

How (Contd.)

� Retrieves interlinked data from the Web.

� Caches retrieved data in a server-side RDF store.

� Dereferences the resource URI.� Dereferences the resource URI.

� Query the Sindice Semantic Web search engine for related information, as well as Revyu for reviews.

DBpedia Mobile (Demo)

Filter Information

� To limit the display to resources, SPARQL filter is used.

Filter Information(Contd.)

Publishing Linked data to Web

� User may publish his current location, photos &reviews, interlinked with DBpedia resources.

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.

� 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/

References

� http://beckr.org/DBpediaMobile/

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