Juan F. Sequeda

Juan is a PhD student at the University of Texas at Austin, a NSF Graduate Research Fellow and the co-founder of Capsenta. Juan has been an invited expert on the W3C RDB2RDF Incubator group (2008 - 2009) and the W3C RDB2RDF Working Group (2010 - 2012). Juan is a co-editor of the W3C Recommendation “A Direct Mapping of Relational Data to RDF” and the creator of Ultrawrap, an RDB2RDF system that implements both W3C RDB2RDF standards. Additionally, Juan has published several academic papers on RDB2RDF. Juan is the co-creator of the Consuming Linked Data Workshop series (COLD) and has organized several tutorials on Linked Data at academic and industrial conferences including: International Semantic Web Conference (ISWC 2009), World Wide Web Conference (WWW 2010), Semantic Technology Conference (SemTech 2010, 2011, 2012) and Extended Semantic Web Conference (ESWC 2013).

Barry Norton

Barry holds a PhD from The University of Sheffield and was involved in European research projects on Semantic Technologies over ten years at the University of Sheffield, the Open University, STI Innsbruck, the Karlsruhe Institute of Technology and Queen Mary University of London. At Queen Mary he was involved in the LinkedBrainz project, to expose MusicBrainz as Linked Data, which he now continues in a role as Solutions Architect for Ontotext AD. Barry has presented several tutorials on Semantic Technologies at conferences including: the European Semantic Web Conference, the International Semantic Web Conference, the European Semantic Technology Conference, the Semantic Technologies and Business Conference. He has been an organiser at tutor at Summer Schools including the Summer School on Ontology Engineering and the Semantic Web, the Summer School on Semantic Computing and the ESWC Summer School.

Daniel P. Miranker

Professor Miranker arrived at the University of Texas in 1986 after completing his Ph.D. in Computer Science at Columbia University and his B.S. in Mathematics at MIT. Professor Miranker’s current work concerns applying the Semantic Web to solving relational and biological data integration problems. Particular projects span SPARQL execution on relational databases and data mining methods that automate data integration. Application subject matter includes both biodiversity and molecular databases. Professor Miranker is perhaps best known for his early work on the TREAT algorithm; a forward-chaining rule evaluation method originally intended to support the parallel evaluation of rule systems against the contents of a database in a map-reduce like environment. He is coauthor of the 1998 PODS Best Paper, “A Lower Bound Theorem for Indexing Schemes and its Application to Multidimensional Range Queries”.