Publikasjoner og ansvarsområder
Predictive Data Transformation Suggestions in Grafterizer Using Machine Learning
Data preprocessing is a crucial step in data analysis. A substantial amount of time is spent on data transformation tasks such as data formatting, modification, extraction, and enrichment, typically making it more convenient for users to work with systems that can recommend most relevant transformat...
An Overview of the TBFY Knowledge Graph for Public Procurement
A growing amount of public procurement data is being made available in the EU for the purpose of improving the effectiveness, efficiency, transparency, and accountability of government spending. However, there is a large heterogeneity, due to the lack of common data formats and models. To this end, ...
Towards an Ontology for Public Procurement based on the Open Contracting Data Standard
Towards an Ontology for Public Procurement Based on the Open Contracting Data Standard
The release of a growing amount of open procurement data led to various initiatives for harmonising the data being provided. Among others, the Open Contracting Data Standard (OCDS) is highly relevant due to its high practical value and increasing traction. OCDS defines a common data model for publis...
Navigating OWL 2 Ontologies Through Graph Projection
Ontologies are powerful, yet often complex, assets for rep- resenting, exchanging, and reasoning over data. Particularly, OWL 2 ontologies have been key for constructing semantic knowledge graphs. Ability to navigate ontologies is essential for supporting various knowledge engineering tasks such as ...
Towards a Knowledge Graph Based Platform for Public Procurement
Finding Data Should be Easier than Finding Oil
The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive companies such as Equinor, a Norwegian multinational oil and gas company with m...
TheyBuyForYou: Enabling Procurement Data Value Chains
Towards integrating public procurement data into a semantic knowledge graph
Public procurement accounts for a substantial part of the public investment and global economy. Therefore, improving effectiveness, efficiency, transparency and accountability of government procurement is of broad interest. To this end, in this poster paper, we present our approach for integrating p...