The document discusses the development of a web framework for integrating RDF repositories, detailing design constraints, request handling, and lens configuration for RDF data presentation. It highlights the use of SPARQL and Jena API to create flexible web pages from RDF data while also outlining serialization methods and resource identifiers. While the approach offers great integration and configuration options, it acknowledges limitations that may affect its suitability for all RDF scenarios.

1. Facet Building Web Pages With SPARQL SWIG-UK Event, HP Labs November 23 rd 2007 Leigh Dodds Chief Technology Officer, Ingenta

2. Problem Statement

3. Where’s my RDF-native Web Framework?! There is no good system for integrating RDF repositories with existing an web framework (in Java)

4. Design Constraints

13. Design Constraints A web page presents data that is a sub-graph (i.e. a view) over a larger RDF store, (the data model) The extent of the sub-graph may vary for different presentations of the data, and may contain arbitrary properties The description of the sub-graph (a lens) should be declarative That sub-graph is “rooted” on a single primary resource (e.g. a Journal) The identifier of the primary resource can be derived from the request URL, e.g. by rewriting the URI. And vice versa Therefore, we don’t support blank nodes as primary resources Or fragment identifiers in URIs! The sub-graph should be serializable into an object graph for presentation to the templating system

14. Facet Request Handling To return a response we need to answer three questions… What lens are we going to apply? What data model are we going to apply it to? What’s the identifier of the primary resource ?

15. Lenses Describing views of RDF data

16. A Simple Lens PREFIX dc: <http://purl.org/dc/elements/1.1/> CONSTRUCT { ?item dc:title ?title . ?item dc:language ?language . } WHERE { ?item dc:title ?title . OPTIONAL { ?item dc:language ?language . } }

17. Configuring Lenses <rdf:RDF xmlns:rdf=&quot;http://www.w3.org/1999/02/22-rdf-syntax-ns#&quot; xmlns:ja=&quot;http://jena.hpl.hp.com/2005/11/Assembler#&quot; xmlns:view=&quot;http://metastore.ingenta.com/facet/lens/&quot;> <rdf:Description rdf:about=&quot;http://metastore.ingenta.com/facet/lens/Sparql&quot;> <ja:assembler>com.ingenta.facet….</ja:assembler> </rdf:Description> <view:Sparql rdf:about=&quot; http://oecd.metastore.ingenta.com/views/just-the-title &quot;> <view:query> sparql/just-the-title.rq </view:query> </view:Sparql> </rdf:RDF>

18. Data Model Configuring RDF graphs

19. Data Model Configuration Jena Assembler API Add notion of application level default data model Uses well-known URI Lenses may be configured to apply to a specific data model Allows “sharding” of data models <view:Sparql rdf:about=&quot; http://oecd.metastore.ingenta.com/views/just-the-title &quot;> <view:appliesTo rdf:resource=“…”/> </view:Sparql>

20. Resource Identifiers

21. Mapping Resource Identifiers In a RESTful application, each resource should have a single primary location Allows resource identifiers to be derived using URL rewriting http://test.sourceoecd.org/oecd/content/journal/18168116 http://oecd.metastore.ingenta.com/content/journal/18168116

22. Serialization Mapping an RDF sub-graph to a Java object model

23. Serialization Primary resource is a ContentItem Has an identifier and Map of properties Walk through graph, beginning at “root” resource, mapping RDF statements to Map entries Mapping of property names is configurable. Default based on namespace prefix, E.g. dc_title Mapping of objects of each statement to a suitable Java object ContentItem, Map, List, Integer , etc

24. Serialization (special cases) Multilingual properties Special casing (i.e. a hack!) to modify naming, e.g. dc_title_fr Repeated properties, e.g. dc:subject Use schema annotation to indicate these, and then Serialize to a List XML Literals & Multi-lingual data E.g. multi-lingual abstracts ( dc:description ) that contain XHTML markup Use schema annotation, parse and create separate Map entries

25. Additional Features “ MultiLens”, applying multiple queries in series to build results Automatic availability of URL parameters as SPARQL query parameters Integral API support RDF output for free; JSON output trivial Simple content lifecycle, mapping to HTTP resource statuses E.g. Content Not Found, Moved, Gone Add type ( life:Deleted ) and properties ( life:newLocation ) to data Support for URL Aliasing based on property values /content/issn/1234-5678 -> /content/journal/abcdef <prism:issn>

26. Summary Pros By embracing a few limitations on RDF modelling, e.g. identifiers provides a very flexible means of building web pages from an RDF repository Reliance on SPARQL and Jena API features provides great deal of configuration options Good integration with existing web templating environments Quick to learn Cons Model limitations mean its not suited to all RDF “in the wild”