Presentation Title: Using Graph Analysis to Discover Hidden Relationships in Unstructured Data
Speaker: Mr Hans Viehmann
Company: Oracle
Co-presenter: Cristi Savescu - mWARE Solutions
Presentation abstract: Graph Databases are very useful when it comes to analyzing relationships and detecting behavioral patterns. This is particularly interesting in public safety, where graph databases offer interesting opportunities to identify fraud or to uncover collusive criminal activity from unstructured data, using natural language processing to extract relationships.

In this presentation we will demonstrate bigCONNECT, a solution which has been deployed in public safety organizations in Eastern Europe to analyze large amounts of raw data, from a wide range of sources like Web Sites, Social Media, Databases, Documents, Images, Audio or Video. The software labels and links all relevant information with existing data in the system using Text Analysis, Entities, Classification, Sentiment Analysis, Speech2Text, Image tagging and OCR. The result can be represented as a Knowledge Graph – a chart that shows how all relevant data is linked and where information can be found using semantic search.

Presentation begins: 04/12/2017 09:00
Presentation duration: 50
Presentation content level: 4 (1 = indepth, 5 = strategic overview)
Audience experience: All Experience Levels
Audience function: Customer/Senior Manager, Functional Manager, Oracle, Partner, Product User
Speaker biography:  Hans Viehmann joined ORACLE in 1994 and in his first role he came across GIS Systems and Spatial Databases for the first time. He specialized in this subject and after various positions in Presales and Presales Management he joined the Product Management Team in 2011. Since then he represents the ORACLE Spatial and Graph Development Team in Europe, Middle East and Africa and is a regular speaker at conferences and symposia in the region. He also serves on the Advisory Board of InGeoForum, Germany.
Related topics: Business Analytics: Big Data & Data Warehousing, Business Analytics: Data Visualisation & Presentation, Business Analytics: Predictive Analytics & Machine Learning
Hall: Hall 7A


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UKOUG_Tech17_-_Graph_Analysis_with_mWARE.pdf1.5 MB08/12/2017 17:09:45


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