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Time: 28-30 May 2013
Venue: Sola Strand Hotel, Stavanger, Norway
The conference Semantic Days 2013 is to be held on the 28th of May to the 30th of May 2013 at Sola Strand Hotel.
Conference theme: Business Intelligence (BI) and Applied Semantics
General information about Semantic Days
Semantic Days is an annual conference that has become a meeting place for industrial use of Semantic Web technologies, with substantial contributions from research institutes, universities and government agencies alike. Under this year’s main theme; Business intelligence (BI) and Applied Semantics, focus will be on how semantic technologies can provide the foundation for better business intelligence and analytics applications. In addition, how sensibly applied semantics can help companies access THE RIGHT INFORMATION, at THE RIGHT TIME, and at THE RIGHT GRANULARITY.
Registration & Invitation Flyer
Highlights from the Program
Sonja Chirico Indrebø - Chief Information Officer – Senior Vice President IT, Statoil
Sonja Chirico Indrebø graduated from University of Surrey, UK, in 1992 with a BEng’s degree in Electronic and Electrical Engineering. After graduation she worked for six years as an instrument and telecommunication's engineer within the Oil and Gas business of Aker Engineering (now Aker Solutions).
Sonja joined Statoil in 1998 as a senior engineer in offshore telecommunications. Since then she has held multiple technical and leadership positions mainly within the company’s IT business. She has been responsible for large scale projects and also operations of the global IT services, both applications and infrastructure. Since beginning of 2011 she has been the company’s CIO.
Dr. James Maltby - YarcData
Dr. James Maltby is a Solution Architect for YarcData Inc., and specializes in mapping scientific and business applications to new computer architectures. He has an academic background in physics and engineering, specializing in radiation transport.
He has worked for Cray since 2000, developing software for the massively multithreaded Cray XMT (and its MTA-1 predecessor) as a well as the other Cray systems. He also led the Bioinformatics practice at Cray for several years, using HPC to solve Life Science problems.
His most recent project involved developing a highly parallel in-memory Semantic Database for the XMT architecture, now released as uRiKA by YarcData.
Complexity and Scalability in Semantic Graph Analysis
Semantic approaches offer a more natural way to combine disparate sources of data and to search for complex patterns. However, limitations of common computer hardware architectures can place an upper limit on the scalability of graph stores. Previous data management architectures have been very successful, but trade-offs related to their intended purposes have created built-in limitations. Classic relational databases offer storage efficiency, but performance can suffer as more data sources are added. Denormalized data warehouses improve performance but at a cost of complexity and increased maintenance. New storage paradigms such as Hadoop offer lower cost and higher parallel performance, but their highly partitioned nature limits the type of data that may be analyzed. This talk will present a new in-memory semantic graph database built over a unique multithreaded supercomputer, based on RDF and SPARQL, and describe its performance. Several real-world uses will be described, drawn from life sciences, financial services and cybersecurity.
Stephen Brobst - Teradata Corporation
Stephen Brobst is the Chief Technology Officer for Teradata Corporation. Stephen performed his graduate work in Computer Science at the Massachusetts Institute of Technology where his Masters and PhD research focused on high-performance parallel processing. He also completed an MBA with joint course and thesis work at the Harvard Business School and the MIT Sloan School of Management.
Stephen has been on the faculty of The Data Warehousing Institute since 1996. He was also appointed to Barack Obama's Presidential Council of Advisors on Science and Technology (PCAST) in the working group on Networking and Information Technology Research and Development (NITRD).
Semantic Data Modeling: The Key to Re-Usable Data
There is significant industry confusion in understanding the differences between logical, physical, and semantic data modeling. This workshop will provide a clear understanding of the role for semantic data modeling when deploying an enterprise data warehouse. An approach for development of a semantic data model will be described. In addition, we will describe the VIP methodology for realization of a semantic data model using an access layer on top of an enterprise data warehouse with an optimized combination of views, indexes, and physicalization.
- Learn about the differences between logical, physical, and semantic data models.
- Learn how use of semantic data modeling can reduce data redundancy in an analytic environment.
- Learn how to make good design tradeoffs in regard to performance, maintenance, and storage costs in the realization of the access layer aligned to your semantic data model.
Prof. Ian Horrocks - Oxford University
Ian Horrocks is a Professor in the Oxford University Department of Computer Science and is a Fellow of Oriel College Oxford. His research interests include logic-based knowledge representation and reasoning and the semantic web, with a particular focus on ontology languages and applications.
He was one of the key authors of the OIL, DAML+OIL, and OWL ontology language standards, chaired the W3C working group that standardised OWL 2, and developed many of the algorithms, optimisation techniques and reasoning systems that underpin OWL applications.
He is a Fellow of the Royal Society, a member of Academia Europaea, an ECCAI Fellow, and is amongst the most highly cited authors in Computer Science.
Ontology Based Data Access: Theory and Practice
So called "Semantic Technologies" are rapidly becoming mainstream technologies, with RDF and OWL now being deployed in diverse application domains, and with major technology vendors starting to augment their existing systems accordingly.
In this talk I will review the evolution of Semantic Technologies to date, and show how research ideas from logic based knowledge representation developed into a mainstream technology. I will then go on to examine the scalability challenges arising from deployment in large scale applications, and discuss ongoing research aimed at addressing them, focusing in particular on a layered integration of ontologies and databases known as Ontology Based Data Access.
For more information about this event contact Kari Anne Haaland Thorsen (program chair) at [email protected]