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Consuming Linked Data,[object Object],Juan F. Sequeda,[object Object],Semantic Technology Conference,[object Object],June 2011,[object Object]
Now what can we do with this data?,[object Object]
Linked Data Applications,[object Object],Software system that makes use of data on the web from multiple datasets and that benefits from links between the datasets,[object Object]
Characteristics of Linked Data Applications,[object Object],[object Object]
Discover further information by following the links between different data sources: the fourth principle enables this.
Combine the consumed linked data with data from sources (not necessarily Linked Data)
Expose the combined data back to the web following the Linked Data principles
Offer value to end-users,[object Object]
Linked Data Browsers,[object Object]
Linked Data Browsers,[object Object],Not actually separate browsers. Run inside of HTML browsers,[object Object],View the data that is returned after looking up a URI in tabular form,[object Object],User can navigate between data sources by following RDF Links,[object Object],(IMO) No usability,[object Object]
Consuming Linked Data 4/5 Semtech2011
Linked Data Browsers,[object Object],http://browse.semanticweb.org/,[object Object],Tabulator,[object Object],OpenLinkDataexplorer,[object Object],Zitgist,[object Object],Marbles,[object Object],Explorator,[object Object],Disco,[object Object],LinkSailor,[object Object]
Linked Data (Semantic Web) Search Engines,[object Object]
Linked Data (Semantic Web) Search Engines,[object Object],Just like conventional search engines (Google, Bing, Yahoo), crawl RDF documents and follow RDF links.,[object Object],Current search engines don’t crawl data, unless it’s RDFa,[object Object],Human focus Search,[object Object],Falcons - Keyword,[object Object],SWSE – Keyworkd,[object Object],VisiNav – Complex Queries,[object Object],Machine focus Search,[object Object],Sindice – data instances,[object Object],Swoogle - ontologies,[object Object],Watson - ontologies,[object Object],Uberblic – curated integrated data instances,[object Object]
(Semantic) SEO ++,[object Object],Markup your HTML with RDFa,[object Object],Use standard vocabularies (ontologies),[object Object],Google Vocabulary,[object Object],Good Relations,[object Object],Dublin Core,[object Object],Google and Yahoo will crawl this data and use it for better rendering,[object Object]
Consuming Linked Data 4/5 Semtech2011
On-the-fly Mashups,[object Object]
http://sig.ma,[object Object]
Domain Specific Applications,[object Object]
Domain Specific Applications,[object Object],Government,[object Object],Data.gov,[object Object],Data.gov.uk,[object Object],http://data-gov.tw.rpi.edu/wiki/Demos,[object Object],Music,[object Object],Seevl.net,[object Object],Dbpedia Mobile,[object Object],Life Science,[object Object],LinkedLifeData,[object Object],Sports,[object Object],BBC World Cup,[object Object]
Faceted Browsers,[object Object]
http://dbpedia.neofonie.de/browse/,[object Object]
http://dev.semsol.com/2010/semtech/,[object Object]
Query your data,[object Object]
Find all the locations of all the original paintings of Modigliani,[object Object]
Select all proteins that are linked to a curated interaction from the literature and to inflammatory response,[object Object],http://linkedlifedata.com/,[object Object]
SPARQL Endpoints,[object Object],Linked Data sources usually provide a SPARQL endpoint for their dataset(s),[object Object],SPARQL endpoint: SPARQL query processing service that supports the SPARQL protocol*,[object Object],Send your SPARQL query, receive the result,[object Object],* http://www.w3.org/TR/rdf-sparql-protocol/,[object Object]
Where can I find SPARQL Endpoints?,[object Object],Dbpedia: http://dbpedia.org/sparql,[object Object],Musicbrainz: http://dbtune.org/musicbrainz/sparql,[object Object],U.S. Census: http://www.rdfabout.com/sparql,[object Object],http://esw.w3.org/topic/SparqlEndpoints,[object Object]
Accessing a SPARQL Endpoint,[object Object],SPARQL endpoints: RESTful Web services,[object Object],Issuing SPARQL queries to a remote SPARQL endpoint is basically an HTTP GET request to the SPARQL endpoint with parameter query,[object Object],GET /sparql?query=PREFIX+rd... HTTP/1.1 Host: dbpedia.orgUser-agent: my-sparql-client/0.1,[object Object],URL-encoded string with the SPARQL query,[object Object]
Query Results Formats,[object Object],SPARQL endpoints usually support different result formats:,[object Object],XML, JSON, plain text (for ASK and SELECT queries),[object Object],RDF/XML, NTriples, Turtle, N3 (for DESCRIBE and CONSTRUCT queries),[object Object]
Query Results Formats,[object Object],PREFIX dbp: http://dbpedia.org/ontology/,[object Object],PREFIX dbpprop: http://dbpedia.org/property/,[object Object],SELECT ?name ?bdayWHERE { ,[object Object],   ?pdbp:birthplace <http://dbpedia.org/resource/Berlin> . ,[object Object],   ?pdbpprop:dateOfBirth ?bday . ,[object Object],   ?pdbpprop:name ?name .,[object Object],},[object Object]
Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011
Query Result Formats,[object Object],Use the ACCEPT header to request the preferred result format:,[object Object],GET /sparql?query=PREFIX+rd... HTTP/1.1 ,[object Object],Host: dbpedia.org,[object Object],User-agent: my-sparql-client/0.1 ,[object Object],Accept: application/sparql-results+json,[object Object]
Query Result Formats,[object Object],As an alternative some SPARQL endpoint implementations (e.g. Joseki) provide an additional parameter out,[object Object],GET /sparql?out=json&query=... HTTP/1.1 ,[object Object],Host: dbpedia.org,[object Object],User-agent: my-sparql-client/0.1,[object Object]
Accessing a SPARQL Endpoint,[object Object],More convenient: use a library,[object Object],SPARQL JavaScript Library,[object Object],http://www.thefigtrees.net/lee/blog/2006/04 sparql_calendar_demo_a_sparql.html,[object Object],ARC for PHP,[object Object],http://arc.semsol.org/,[object Object],RAP – RDF API for PHP,[object Object],http://www4.wiwiss.fu-berlin.de/bizer/rdfapi/index.html,[object Object]
Accessing a SPARQL Endpoint,[object Object],Jena / ARQ (Java),[object Object],http://jena.sourceforge.net/,[object Object],Sesame (Java),[object Object],http://www.openrdf.org/,[object Object],SPARQL Wrapper (Python),[object Object],http://sparql-wrapper.sourceforge.net/,[object Object],PySPARQL (Python),[object Object],http://code.google.com/p/pysparql/,[object Object]
Accessing a SPARQL Endpoint,[object Object],Example with Jena/ARQ,[object Object],import com.hp.hpl.jena.query.*;,[object Object],String service = "..."; // address of the SPARQL endpoint ,[object Object],String query = "SELECT ..."; // your SPARQL query ,[object Object],QueryExecutione = QueryExecutionFactory.sparqlService(service, query),[object Object],ResultSet results = e.execSelect(); ,[object Object],while ( results.hasNext() ) {,[object Object],QuerySolutions = results.nextSolution(); ,[object Object],		// ...,[object Object],} ,[object Object],e.close();,[object Object]
Querying a single dataset is quite boring,[object Object],compared to,[object Object],Issuing queries over multiple datasets,[object Object]
Creating a Linked Data Application,[object Object]
Linked Data Architectures,[object Object],Follow-up queries,[object Object],Querying Local Cache,[object Object],Crawling,[object Object],Federated Query Processing,[object Object],On-the-fly Dereferencing,[object Object]
Follow-up Queries,[object Object],Idea: issue follow-up queries over other datasets based on results from previous queries,[object Object],Substituting placeholders in query templates,[object Object]
String s1 = "http://cb.semsol.org/sparql"; ,[object Object],String s2 = "http://dbpedia.org/sparql";,[object Object],String qTmpl = "SELECT ?c WHERE{ <%s> rdfs:comment ?c }";,[object Object],String q1 = "SELECT ?s WHERE { ..."; ,[object Object],QueryExecution e1 = QueryExecutionFactory.sparqlService(s1,q1); ,[object Object],ResultSet results1 = e1.execSelect(); ,[object Object],while ( results1.hasNext() ) {,[object Object],QuerySolution s1 = results.nextSolution(); ,[object Object],	String q2 = String.format( qTmpl, s1.getResource("s"),getURI() );,[object Object],QueryExecution e2= QueryExecutionFactory.sparqlService(s2,q2); ,[object Object],ResultSet results2 = e2.execSelect(); ,[object Object],	while ( results2.hasNext() ) {,[object Object],		// ... ,[object Object],	},[object Object],	e2.close();,[object Object],},[object Object],e1.close();,[object Object],Find a list of companies ,[object Object],Filtered by some criteria and return DbpediaURIs from them,[object Object]
Follow-up Queries,[object Object],Advantage,[object Object],Queried data is up-to-date,[object Object],Drawbacks,[object Object],Requires the existence of a SPARQL endpoint for each dataset,[object Object],Requires program logic,[object Object],Very inefficient,[object Object]
Querying Local Cache,[object Object],Idea: Use an existing SPARQL endpoint that provides access to a set of copies of relevant datasets,[object Object],Use RDF dumps of each dataset,[object Object],SPARQL endpoint over a majority of datasets from the LOD cloud at:,[object Object],http://uberblic.org,[object Object],http://lod.openlinksw.com/sparql,[object Object]
Querying a Collection of Datasets,[object Object],Advantage:,[object Object],No need for specific program logic,[object Object],Includes the datasets that you want,[object Object],Complex queries and high performance,[object Object],Even reasoning,[object Object],Drawbacks:,[object Object],Depends on existence of RDF dump,[object Object],Requires effort to set up and to operate the store ,[object Object],How to keep the copies in sync with the originals?,[object Object],Queried data might be out of date,[object Object]
Crawling,[object Object],Crawl RDF in advance by following RDF links,[object Object],Integrate, clean and store in your own triplestore,[object Object],Same way we crawl HTML today,[object Object],LDSpider,[object Object]
Crawling,[object Object],Advantages:,[object Object],No need for specific program logic ,[object Object],Independent of the existence, availability, and efficiency of SPARQL endpoints,[object Object],Complex queries with high performance,[object Object],Can even reason about the data,[object Object],Drawbacks:,[object Object],Requires effort to set up and to operate the store ,[object Object],How to keep the copies in sync with the originals?,[object Object],Queried data might be out of date,[object Object]
Federated Query Processing,[object Object],Idea: Querying a mediator which distributes sub-queries to relevant sources and integrates the results,[object Object]
Federated Query Processing,[object Object],Instance-based federation,[object Object],Each thing described by only one data source ,[object Object],Untypical for the Web of Data,[object Object],Triple-based federation,[object Object],No restrictions ,[object Object],Requires more distributed joins,[object Object],Statistics about datasets required (both cases),[object Object]
Federated Query Processing,[object Object],DARQ (Distributed ARQ),[object Object],http://darq.sourceforge.net/,[object Object],Query engine for federated SPARQL queries,[object Object],Extension of ARQ (query engine for Jena),[object Object],Last update: June 2006,[object Object],Semantic Web Integrator and Query Engine(SemWIQ),[object Object],http://semwiq.sourceforge.net/,[object Object],Last update: March 2010,[object Object],Commercial,[object Object],…,[object Object]
Federated Query Processing,[object Object],Advantages:,[object Object],No need for specific program logic ,[object Object],Queried data is up to date,[object Object],Drawbacks:,[object Object],Requires the existence of a SPARQL endpoint for each dataset,[object Object],Requires effort to set up and configure the mediator,[object Object]
In any case:,[object Object],You have to know the relevant data sources,[object Object],When developing the app using follow-up queries,[object Object],When selecting an existing SPARQL endpoint over a collection of dataset copies,[object Object],When setting up your own store with a collection of dataset copies,[object Object],When configuring your query federation system ,[object Object],You restrict yourself to the selected sources,[object Object]
In any case:,[object Object],You have to know the relevant data sources,[object Object],When developing the app using follow-up queries,[object Object],When selecting an existing SPARQL endpoint over a collection of dataset copies,[object Object],When setting up your own store with a collection of dataset copies,[object Object],When configuring your query federation system ,[object Object],You restrict yourself to the selected sources,[object Object],There is an alternative: ,[object Object],Remember, URIs link to data,[object Object]
On-the-fly Dereferencing,[object Object],Idea: Discover further data by looking up relevant URIs in your application on the fly,[object Object],Can be combined with the previous approaches,[object Object],Linked Data Browsers,[object Object]
Link Traversal Based Query Execution,[object Object],Applies the idea of automated link traversal to the execution of SPARQL queries,[object Object],Idea:,[object Object],Intertwine query evaluation with traversal of RDF links,[object Object],Discover data that might contribute to query results during query execution,[object Object],Alternately:,[object Object],Evaluate parts of the query ,[object Object],Look up URIs in intermediate solutions,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object]
Link Traversal Based Query Execution,[object Object],Advantages:,[object Object],No need to know all data sources in advance,[object Object],No need for specific programming logic,[object Object],Queried data is up to date,[object Object],Does not depend on the existence of SPARQL endpoints provided by the data sources,[object Object],Drawbacks:,[object Object],Not as fast as a centralized collection of copies,[object Object],Unsuitable for some queries,[object Object],Results might be incomplete (do we care?),[object Object]
Implementations,[object Object],Semantic Web Client library (SWClLib) for Java,[object Object],http://www4.wiwiss.fu-berlin.de/bizer/ng4j/semwebclient/,[object Object],SWIC for Prolog,[object Object],http://moustaki.org/swic/,[object Object]
Implementations,[object Object],SQUIN http://squin.org,[object Object],Provides SWClLib functionality as a Web service,[object Object],Accessible like a SPARQL endpoint,[object Object],Install package: unzip and start,[object Object],Less than 5 mins!,[object Object],Convenient access with SQUIN PHP tools:,[object Object],$s = 'http:// ...'; // address of the SQUIN service ,[object Object],$q = new SparqlQuerySock( $s, '... SELECT ...' ); ,[object Object],$res = $q->getJsonResult();// or getXmlResult(),[object Object]

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Consuming Linked Data 4/5 Semtech2011

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