Keynote

Current metadata and information about data lineage are crucial for understanding and interpreting data in a Hadoop data warehouse. At the same time, Hadoop data warehouse projects sink or swim with the ability to continuously add new data sources and views as business requirements evolve.

Since the 1950’s, computers have been used as a management tool in dairy farming. Over subsequent decades, dairy herd management software has evolved consistently and the personal computer has emerged as an important management tool to primarily monitor production, reproduction and health.

Metadata plays an essential role in film and TV production as well as in the entire media value chain ranging from the idea of a script, followed by production planning, production and post-production, up to distribution and archival . Unfortunately, lots of information gets lost in the fragmented processes, especially when multiple companies are involved.

Wikidata is Wikimedia's knowledge base that provides structured data about the world for Wikipedia, its sister projects and the world. It was started 4 years ago and has grown into a significant player in the open data and Wikimedia ecosystem. This talk will give

Oxford University Press, a department of the University of Oxford, has been developing semantic enrichment capabilities over a number of years, to improve the management and usage of our books, journals and dictionary content.

Embedding learning, a.k.a. representation learning,  has been shown to be able to model large-scale semantic knowledge graphs.

Building discovery services for scientific and scholarly content on top of a semantic data model

This talk provides a summary and reflection on how we think that Semantic Technologies are an effective way to do enterprise metadata management at web scale – essentially, being able to bring some order to the chaos resulting from multiple applications working on similar data domains.

Turning Chaos into Clarity