Presentation By: Kishoj Bajracharya Roll Number: st111224 Topic: DBpedia Mobile
Location Based Application of the Linked data DBpedia Mobile: A Location Aware Semantic Web Client KISHOJ BAJRACHARYA Roll No : 111224
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.
Example of Publishing Linked Data usingD2R 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 iPhone or 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 Web. Discover, search and publish Linked Data on the Semantic Web using their mobile devices
HowMobile phone’s GPS receiver => Location w.r.t.latitude & longitude.From latitude & longitude => Original location geo:lat geo:longSPARQL queries are run against different SPARQLendpoints 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 of application that displayimages from RDF of Flickr TM Wrapper
Running SPARQL query on RevyuSPARQL Endpoint
SPARQL response from Revyu SPARQLEndpoint
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.
DBpedia Mobile (Demo)
Filter Information To limit the display to resources, SPARQL filter is used.
Publishing Linked data to WebUser 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.