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Peter Haase and Arild Waaler
Dr. Peter Haase is working as a lead architect at fluid Operations, where he is leading the research and development activities at the interface of semantic technologies and cloud computing. Previously, Peter was at the Institute of Applied Informatics and Formal Description Methods (AIFB) at the University of Karlsruhe, where he obtained his PhD in 2006. Before joining the AIFB, he worked in the Silicon Valley Labs of IBM in the development of DB2 until 2003. His research interests include ontology management and evolution, decentralized information systems and Semantic Web. At the AIFB, he previously worked in the EU IST project SWAP (Semantic Web and Peer-to-Peer) and SEKT (Semantically Enabled Knowledge Technologies) and was working as a project leader for the EU IST project NeOn (Lifecycle Support for Networked Ontologies).
Prof. Arild Waaler is professor in computer science at the University of Oslo. He as led 5 projects at the national level in Norway and was an initiator of the Euro 12M joint industry initiative Integrated Operations in the High North and the Euro 7M Semicolon project; the former of these addresses integration challenges in the oil and gas industry, the latter interoperability challenges in the Norwegian public sector. He chaired the 2010 Semantic Days conference, a meeting point with academia, industry and public sector, and is now co-chair of the Board. Currently, he serves as project coordinator for the Integrating Project Optique.
Scalable End-user Access to Big Data
Scalable end-user access to Big Data is critical for effective data analysis and value creation: Engineers in industry spend a significant amount of their time searching for data that they require for their core tasks. In the Oil&Gas industry, for instance, 30–70% of engineers’ time is spent looking for and assessing the quality of data.
Optique is a large-scale European project focusing on the comprehensive and timely end-user access to very large data sets. In this presentation we describe how the concepts and technologies developed in Optique bring about a paradigm shift for data access by
- providing a semantic end-to-end connection between users and data sources,
- enabling users to rapidly formulate intuitive queries using familiar vocabularies and conceptualizations,
- seamlessly accessing data spread across multiple distributed data sources, and thus
- reducing the turnaround time for information requests from days to minutes.
In the talk we will discuss the key concepts behind the Optique platform, including
- the central role of ontologies and declarative mappings to capture user conceptualizations and to transform user queries into highly optimized queries over the data sources,
- integration of distributed heterogeneous data sources, including streams,
- the exploitation of massively parallel technologies and holistic optimizations to maximize performance,
- tools to support query formulation and ontology and mapping management, and
- semi-automatic bootstrapping of ontologies and mappings and query driven ontology construction to minimize implementation overhead.
We will illustrate the value of the Optique platform through use cases from the case study partners in the energy domain: Siemens and Statoil.