Add to ORKGThe Optique project aims at developing an end-to-end system for semantic data access to Big Data in industries such as Statoil ASA and Siemens AG. In our demonstration we present the first version of the Optique system customised for the Norwegian Petroleum Directorate's FactPages, a publicly available dataset relevant for engineers at Statoil ASA. The system provides different options, including visual, to formulate queries over ontologies and to display query answers. Optique 1.0 offers installation wizards that allow to extract ontologies from relational schemata, extract and define mappings connecting ontologies and schemata, and align and approximate ontologies. Moreover, the system offers highly optimised techniques for query answerin...
We present a description and analysis of the data access challenge in Siemens Energy. We advocate On...
Abstract. The Optique project aims at providing an end-to-end solution for scal-able Ontology-Based ...
Accessing the relevant data in Big Data scenarios is increasingly difficult both for end-user and IT...
Abstract. Data access in an enterprise setting is a determining factor for the potential of value cr...
An important application of semantic technologies in industry has been the formalisation of informat...
Abstract. Ontology-Based Data Access (OBDA) is an approach to query rela-tional data via a unified s...
An important application of semantic technologies in industry has been the formalisation of informat...
An important application of semantic technologies in industry has been the formalisation of informat...
Real-time processing of data coming from multiple heterogeneous data streams and static databases is...
Real-time processing of data coming from multiple heterogeneous data streams and static databases is...
Data access in an enterprise setting is a determining factor for value creation processes, such as s...
Despite the dramatic growth of data accumulated by enterprises, obtaining value out of it is extreme...
The preparation of existing real-world datasets for publication as high-quality semantic web data is...
We present a description and analysis of the data access challenge in the Siemens Energy. We advocat...
Abstract. This paper motivates, documents and evaluates the process and results of converting the No...
We present a description and analysis of the data access challenge in Siemens Energy. We advocate On...
Abstract. The Optique project aims at providing an end-to-end solution for scal-able Ontology-Based ...
Accessing the relevant data in Big Data scenarios is increasingly difficult both for end-user and IT...
Abstract. Data access in an enterprise setting is a determining factor for the potential of value cr...
An important application of semantic technologies in industry has been the formalisation of informat...
Abstract. Ontology-Based Data Access (OBDA) is an approach to query rela-tional data via a unified s...
An important application of semantic technologies in industry has been the formalisation of informat...
An important application of semantic technologies in industry has been the formalisation of informat...
Real-time processing of data coming from multiple heterogeneous data streams and static databases is...
Real-time processing of data coming from multiple heterogeneous data streams and static databases is...
Data access in an enterprise setting is a determining factor for value creation processes, such as s...
Despite the dramatic growth of data accumulated by enterprises, obtaining value out of it is extreme...
The preparation of existing real-world datasets for publication as high-quality semantic web data is...
We present a description and analysis of the data access challenge in the Siemens Energy. We advocat...
Abstract. This paper motivates, documents and evaluates the process and results of converting the No...
We present a description and analysis of the data access challenge in Siemens Energy. We advocate On...
Abstract. The Optique project aims at providing an end-to-end solution for scal-able Ontology-Based ...
Accessing the relevant data in Big Data scenarios is increasingly difficult both for end-user and IT...