Easy RDF and SPARQL for LAMP systems & The OWLIM Semantic Repository
From Semantic Web NYC
Who is comingAdrian Miranda
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PHP and the Semantic Web - Easy RDF and SPARQL for LAMP systemsMeetup with the developer of ARC and Trice: Benjamin Nowack, Semsol Semantic technologies and standards are maturing and start to spread from research prototypes and enterprise tools to public web sites and mainstream online applications. With scripting languages traditionally being popular in the web developer community, the demand for PHP coders with RDF skills is about to rise significantly. Now is a good time to explore the new possibilities of the forthcoming Data Web and how they can be efficiently utilized in LAMP environments. This talk will provide an overview of SPARQL-based web scripting with ARC and Trice, market opportunities for PHP developers, available toolkits, and lessons learned.  Benjamin Nowack is a long-time member of the RDF community, founder of semantic web company Semsol [1]/], and a pioneer in utilizing RDF technology for agency-level web projects. He is the maintainer of ARC [2] (a pure PHP/MySQL RDF toolkit) and Trice [3] (a web application framework based on ARC). Semsol's practical solutions won several international awards, such as the Semantic Scripting Challenge and the Semantic Web Challenge. Benjamin contributed to the W3C Semantic Web Education and Outreach Interest Group (SWEO) as an Invited Expert. A detailed profile is available at http://bnode.org/about Reasoning on the web of linked data with OWLIM - Semantic RepositoryOWLIM is a native RDF database with inference support. Short after its first release in 2004, it started setting performance and scalability benchmarks that advanced the frontiers for semantic repositories. Nowadays OWLIM is a mature database, proven in applications ranging from life sciences to financial intelligence and patent search. It can deal with 1B statements on a desktop and 10B statements on a sub-$10,000 server. Linked Data Semantic Repository (LDSR) represents a reason-able view to the web of linked data. Several of the central datasets of the Linking Open Data (LOD) project were selected and loaded in OWLIM. Reasoning was performed to "materialize" all the facts that could be inferred from this data. The talk will briefly present the latest version of OWLIM and provide insider’s view on LDSR. With its 358M explicit and 512M inferred statement, LDSR is probably the most scalable common sense reasoning experiment.
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