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Optique Platform Installation

This video shows how to install and use the Optique Platform as an app in Information Workbench, to allow for scalable end user access to Big Data.

Distributed Dataflow Specification Productivity on Exareme

Towards Ontology Based Data Access for Statoil. Part 1: Introduction

Ontology Based Data Access (OBDA) is a prominent approach to provide end-users with high-level access to data via an ontology that is 'connected' to the data via mappings. State-of-the-art OBDA systems, however, suffer from limitations restricting their applicability in industry. In particular, development of necessary prerequisites to deploy an OBDA system, i.e., ontologies and mappings, as well as end-user oriented query interfaces, are poorly addressed. Moreover, solutions often focus on separate critical components of OBDA systems, while, to the best of our knowledge, there is no end-to-end OBDA solution. The Optique platform provides an integrated end-to-end OBDA system that addresses a number of practical challenges including support for development of deployment prerequisites and user-oriented query interfaces. During the demonstration one can try the platform with preconfigured scenarios from the petroleum industry and music domain, and try its end-to-end functionality: from deployment to query answering. In the first part we provide a general description of the OBDA approach in general and our system particularly.

Towards Ontology Based Data Access for Statoil. Part 4: Layering and Mapping Editor

Ontology Based Data Access (OBDA) is a prominent approach to provide end-users with high-level access to data via an ontology that is 'connected' to the data via mappings. State-of-the-art OBDA systems, however, suffer from limitations restricting their applicability in industry. In particular, development of necessary prerequisites to deploy an OBDA system, i.e., ontologies and mappings, as well as end-user oriented query interfaces, are poorly addressed. Moreover, solutions often focus on separate critical components of OBDA systems, while, to the best of our knowledge, there is no end-to-end OBDA solution. The Optique platform provides an integrated end-to-end OBDA system that addresses a number of practical challenges including support for development of deployment prerequisites and user-oriented query interfaces. During the demonstration one can try the platform with preconfigured scenarios from the petroleum industry and music domain, and try its end-to-end functionality: from deployment to query answering. In the fourth part, we overview the mapping editing functionality of the system.

Towards Ontology Based Data Access for Statoil. Part 3: Installation

Ontology Based Data Access (OBDA) is a prominent approach to provide end-users with high-level access to data via an ontology that is 'connected' to the data via mappings. State-of-the-art OBDA systems, however, suffer from limitations restricting their applicability in industry. In particular, development of necessary prerequisites to deploy an OBDA system, i.e., ontologies and mappings, as well as end-user oriented query interfaces, are poorly addressed. Moreover, solutions often focus on separate critical components of OBDA systems, while, to the best of our knowledge, there is no end-to-end OBDA solution. The Optique platform provides an integrated end-to-end OBDA system that addresses a number of practical challenges including support for development of deployment prerequisites and user-oriented query interfaces. During the demonstration one can try the platform with preconfigured scenarios from the petroleum industry and music domain, and try its end-to-end functionality: from deployment to query answering. In the third part, we overview the installation functionality of the system.

Towards Ontology Based Data Access for Statoil. Part 2: OptiqueVQS

Ontology Based Data Access (OBDA) is a prominent approach to provide end-users with high-level access to data via an ontology that is 'connected' to the data via mappings. State-of-the-art OBDA systems, however, suffer from limitations restricting their applicability in industry. In particular, development of necessary prerequisites to deploy an OBDA system, i.e., ontologies and mappings, as well as end-user oriented query interfaces, are poorly addressed. Moreover, solutions often focus on separate critical components of OBDA systems, while, to the best of our knowledge, there is no end-to-end OBDA solution. The Optique platform provides an integrated end-to-end OBDA system that addresses a number of practical challenges including support for development of deployment prerequisites and user-oriented query interfaces. During the demonstration one can try the platform with preconfigured scenarios from the petroleum industry and music domain, and try its end-to-end functionality: from deployment to query answering. In the second part, we provide a general description of the OBDA approach in general and our system particularly.

Optique 1.0: Semantic Access to Big Data. Part 4.1

In the final part of the demo we present the Optique 1.0 mapping editor that allows to define mappings connecting ontologies with underlines schemata. Optique project aims at developing an end-to-end system for semantic data access to Big Data. In our demonstration we present the first version of the Optique system customised for the Norwegian Petroleum Directorate's FactPages.

Optique 1.0: Semantic Access to Big Data. Part 4

In the fourth part of the demo we present Optique 1.0 installation wizard that extracts ontologies from relational schemata. Optique project aims at developing an end-to-end system for semantic data access to Big Data. In our demonstration we present the first version of the Optique system customised for the Norwegian Petroleum Directorate's FactPages.

Optique 1.0: Semantic Access to Big Data. Part 3

In the third part of the demo we present the Optique 1.0 visual query interface that allows to formulate queries over ontologies and to display query answers. Optique project aims at developing an end-to-end system for semantic data access to Big Data. In our demonstration we present the first version of the Optique system customised for the Norwegian Petroleum Directorate's FactPages.

Optique 1.0: Semantic Access to Big Data. Part 2

In the second part of the demo we give a general overview of the system. Optique project aims at developing an end-to-end system for semantic data access to Big Data. In our demonstration we present the first version of the Optique system customised for the Norwegian Petroleum Directorate's FactPages.

Optique 1.0: Semantic Access to Big Data. Part 1

In the first part of the demo we discuss the data access issues brought by Big Data and present a general overview of the architecture of the Optique OBDA system that aims at overcoming those issues. Optique project aims at developing an end-to-end system for semantic data access to Big Data. In our demonstration we present the first version of the Optique system customised for the Norwegian Petroleum Directorate's FactPages.

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