Discovering interesting patterns in huge complex graphs can be a daunting task. Some data sets contain thousands of classes and relationships, making it hard to even formulate the analytics and queries you want to perform. Franz, Inc. created a visual analytics and discovery tool that lets you manually explore graphs, find the shortest paths between nodes of interest, etc. Once you see an interesting pattern on your screen you can turn that pattern automatically into a SPARQL or Prolog query. In his talk, Aasman will use an example from the life sciences domain and another example using financial transactions. The latter example not only uses pattern discovery but also geospatial and temporal reasoning.
Jans Aasman started his career as an experimental and cognitive psychologist, earning his PhD in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He has spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects. From 1995 to 2004, he was also a part-time professor in the Industrial Design department of the Technical University of Delft. Aasman is currently the CEO of Franz Inc., the leading supplier of commercial, persistent, and scalable RDF database products that provide the storage layer for powerful reasoning and ontology modeling capabilities for Semantic Web applications. Aasman has gained notoriety as a conference speaker at such events as Semantic Technologies Conference, International Semantic Web Conference, Java One, Linked Data Planet, INSA, GeoWeb, ICSC, RuleML and DEBS.