You have Terabytes Worth of Triples, Now What? -- Mining Insights from Your Semantic Data Store

Tuesday, June 5, 2012

10:30 AM - 11:15 AM

Level:	Technical - Intermediate
Location:	Plaza B

Using RDF/OWL to build a semantic application is an important step in achieving standards-based flexible knowledge management. Representing data in graph (triples) format is indispensable but not the whole story; you need to make sense out of the millions or billions of triples you have gathered. The dearth of business intelligence (BI) and data mining (DM) tools for RDF data leaves an analyst little choice but to run SPARQL queries, and perform logical inferences as the only way to analyze semantic data. We describe what is being done at Oracle to apply to semantic data the rich and easy-to-use features of enterprise-class tools that already exist in abundance for relational and XML data. As we await the emergence of native BI/DM tools for RDF, this approach vastly alleviates the problems users face in exploring, analyzing and mining RDF data.

This session will cover:

• Overview of semantic technologies with a focus on what Oracle Database 11g Semantic Technologies offer;
• Description of features provided by commercial-grade business intelligence and data mining tools;
• Description of methods for applying BI and DM tools on semantic data;
• Discussion of a few real-world examples;
• Future work.

Xavier Lopez is Director, Spatial & Semantic Technologies for Oracle's Spatial products group. For the past thirteen years, he has led Oracle’s efforts to incorporate spatial technologies across Oracle’s database, application server, and application business. He also leads Oracle’s efforts in semantic data management. He has nineteen years of experience in the area of GIS and spatial databases. He holds advanced degrees in engineering and planning from University of Maine, MIT, and the University of California, Davis. Xavier is currently member of Mapping Science Committee of the National Academies which advises the nation on mapping sciences. He is also a member of GITA, ASPRS, and URISA.

Zhe Wu is a Consultant Member of Technical Staff working on semantic technologies in Oracle headquarters in Redwood City, CA. He leads the development of the inference engine in the database, which supports W3C RDFS, SKOS, and OWL standards, as well as user-defined rules. As an Oracle representative, he has been an active participant and contributor in the W3C OWL (OWL 2) working group. He has previously served as a member of the program committee for ESWC 2011, OrdRing 2011, ISWC 2010-2011, RR 2010, OWLED 2008-2011. Zhe has served as co-chair for JIST 2011 and he has served on the editorial board of SWJ 2010 (special issue on real-world applications of OWL). He has also served on UDDI standard specification technical committee from 2003 to 2005. Zhe received his PhD in computer science from the University of Illinois at Urbana-Champaign in 2001. He received his BE from the Special Class for Gifted Young, University of Science & Technology of China in 1996. His work and research interests are in Semantic Web technologies, logical inferencing, database, web services, nonlinear optimization, computer security, and computer networks.