Martin G. Skjæveland

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This paper motivates, documents and evaluates the process and results of converting the Norwegian Petroleum Directorate’s FactPages, a well-known and diverse set of tabular data, but with little and incomplete schema information, stepwise into other representations where in each step more semantics is added to the dataset. The different representations we(More)
A major challenge in information management today is the integration of huge amounts of data distributed across multiple data sources. A suggested approach to this problem is ontology-based data integration where legacy data systems are integrated via a common ontology that represents a unified global view over all data sources. However, data is often not(More)
Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details of the underlying data. The ontology is ‘connected’ to the data via mappings that allow to automatically translate queries posed over the ontology into(More)
Ontologies have recently became a popular mechanism to expose relational database (RDBs) due to their ability to describe the domain of data in terms of classes and properties that are clear to domain experts. Ontological terms are related to the schema of the underlying databases with the help of mappings, i.e., declarative specifications associating SQL(More)
ISO 15926 is a representation standard for information in the process industry. Based on an ontology approach to information, it lends itself to application using Semantic Web tools. We describe how OWL can be used with ISO 15926 to represent common industry classes and relations. Using rules and automated decution, we extend the approach to templates,(More)
The 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(More)
Data access in an enterprise setting is a determining factor for the potential of value creation processes such as sense-making, decision making, and intelligence analysis. As such, providing friendly data access tools that directly engage domain experts (i.e., end-users) with data, as opposed to the situations where database/IT experts are required to(More)
Ontology-Based Data Access (OBDA) is an approach to query relational data via a unified semantic access point powered by an ontology that is ‘connected’ to the underlying databases via mappings. OPTIQUE is an end-to-end OBDA platform. It offers support for semi-automatic bootstrapping of ontologies and mappings from relational databases thus facilitating(More)
In this demo paper we present BOOTOX, a system facilitating ontology and mapping development by their automatic extraction (i.e., bootstrapping) from relational databases. BOOTOX has a number of advantages: it allows to control the OWL 2 profile of the output ontologies, and to bootstrap complex and provenance mappings, which are beyond the W3C direct(More)