Results & downloads

You are here: Home » Results & downloads

Featured Publications

Experiencing OptiqueVQS: A Multi-paradigm and Ontology-based Visual Query System for End Users [WP3: Query Formulation]
BootOX: Practical Mapping of RDBs to OWL 2 [WP4: Bootstrapping]
Mapping Analysis in Ontology-based Data Access: Algorithms and Complexity [WP4: Mapping Analysis]
Stream-Query Compilation with Ontologies [WP5: Time and Streams]
Ontop: Answering SPARQL Queries over Relational Databases [WP6: Query Transformation]
Elastic Processing of Analytical Query Workloads on IaaS Clouds [WP7: Distributed Query Execution]
How Semantic Technologies can Enhance Data Access at Siemens Energy [WP8: Siemens Use Case]
Ontology Based Access to Exploration Data at Statoil [WP9: Statoil Use Case]

List of Publications

In the media

Videos

Towards Ontology Based Data Access for Statoil.

All videos

Talks & Presentations

Optique
Scalable End-user Access to Big Data

View presentation [PDF]

Whitepapers

Accessing Big Data
We are surrounded by vast and steadily increasing amounts of data, be it in industrial or personal contexts. In order to maintain a leading position in industry, one soon finds that it is paramount to not only handle this explosion of information effectively, but also to be able to access important data at a moment’s notice.

Software

The Optique platform is a solution that integrates several modules developed by the different expert groups of each university using the Information Workbench – semantic integration platform – developed by fluid Operations AG, also member of the project.

The Northwind tutorial is a specific setup of the Optique platform, including a set of training tasks related to the domain of products and sales. It also comes with a training database and corresponding ontologies and mappings, which together enables users to get hands-on experience without the need to cope with a tedious setup, technical barriers or security restrictions.

Get access to the Northwind tutorial.

Public Deliverables

Publishable Summary of Y1 Project Activities

WP 1: Requirement Analysis and Evaluation

D1.1 — Joint Phase 1 Evaluation and Phase 2 Requirement Analysis
[PDF]

D1.2 — Requirement Analysis and Evaluation Framework
[PDF]

D1.3 — Joint Phase 2 Evaluation and Phase 3 Requirement Analysis
[PDF]

All public deliverables

Show Comments

How much time is spent searching for data?

Engineers in industry spend a significant amount of their time searching for data that they require for their core taks. E.g., in the oil&gas industry, 30–70% of engineers time is spent looking for and assessing the quality of data. (Crompton, 2008)

How much value could be created in that time?

Numbers provided by Optique partners Siemens and Statoil suggest that Optique could free up a substantial amount of expert time annually in these two companies alone. The potential benefit from a more effective analysis of the data will be even higher.

Optique: a paradigm shift for data access

The project will provide a semantic end-to-end connection between users and data sources. The Optique platform will feature an intuitive, general, but adaptable end-user interface. Data can be integrated from multiple, also streaming, data sources, with the possibility for large-scale parallel cloud processing and storage.

Optique: a unique combination of technologies

The Optique project brings a unique combination of technologies to bear on Big Data challenges: An end-user-oriented query interface; scalable query rewriting from the end-user to the source vocabulary; temporal and real-time continuous stream processing; scalable storage and query evaluation using elastic clouds.