Today's business and government organizations are challenged when trying to manage and analyze information from enterprise databases, streaming servers, social media and open source. This is compounded by the complexity of integrating diverse data types (relational, text, spatial, images, spreadsheets) and the entities they represent (customers, products, suppliers, events, and locations) - all of which need to be understood and re-purposed in different contexts. Identifying meaningful patterns across these different information sources is non-trivial. Moreover, conventional IT tools, such as GIS, data warehousing and business intelligence alone, are insufficient at handling the volumes, velocity and variety of content at hand. A new framework and associated tools are needed. Dr. Lopez outlines how developers are applying "linked data" concepts to make sense of these Big Data sources. He will describe new approaches oriented toward search, discovery, linking, and analyzing information on the Web, and throughout the enterprise. The key take away is use of spatial and linked open data concepts to enhance content alignment, interoperability, discovery and analysis of Big Data.
Dr. Xavier Lopez
is Senior Director of Product Management for Oracle's Spatial products group. For the past sixteen years, he has led Oracle's efforts to incorporate spatial technologies across Oracle's database, application server, and application business.
He has over twenty years of experience in the area of GIS and spatial databases. He is currently focusing on high performance spatial computing and linked open data. He holds advanced degrees in engineering and planning from the University of Maine, MIT, and the University of California, Davis. He is currently a member of the US National Geospatial Advisory Committee (NGAC). Xavier is a past member of the Mapping Science Committee of the National Academy of Science, which advises the nation on mapping activities.