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Nikolay Nikolov

Forsker

Nikolay Nikolov

Forsker

Nikolay Nikolov
Telefon: +47 938 27 443
Avdeling: Software and Service Innovation
Kontorsted: Oslo

Publikasjoner og ansvarsområder

Publikasjoner

Publikasjon

DataGraft: One-Stop-Shop for Open Data Management

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1452414

This paper introduces DataGraft (https://datagraft.net/) – a cloud-based platform for data transformation and publishing. DataGraft was developed to provide better and easier to use tools for data workers and developers (e.g. open data publishers, linked data developers, data scientists) who conside...

Forfattere Roman Dumitru Nikolov Nikolay Pultier Antoine Sukhobok Dina Elvesæter Brian Berre Arne- Jørgen Ye Xianglin Dimitrov Marin Simov Alex Zarev Momchill Moynihan Rick Roberts Bill Berlocher Ivan Kim Seon-Ho Lee Tony Smith Amanda Heath Tom
År 2017
Type Tidsskriftspublikasjon
Publikasjon

DataGraft: A Platform for Open Data Publishing

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1452398

DataGraft is a platform for Open Data management. It has the goals to simplify and speed up the data publishing process and to improve the reliability and scalability of the data consumption process. This demonstrator provides a summary of the key features of the current DataGraft platform as well a...

Forfattere Roman Dumitru Dimitrov Marin Nikolov Nikolay Pultier Antoine Elvesæter Brian Simov Alex Petkov Yavor
År 2016
Type Tidsskriftspublikasjon
Publikasjon

DataGraft: Simplifying open data publishing

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1445659

In this demonstrator we introduce DataGraft – a platform for Open Data management. DataGraft provides data transformation, publishing and hosting capabilities that aim to simplify the data publishing lifecycle for data workers (i.e., Open Data publishers, Linked Data developers, data scientists). Th...

Forfattere Roman Dumitru Dimitrov Marin Nikolov Nikolay Pultier Antoine Sukhobok Dina Elvesæter Brian Berre Arne- Jørgen Ye Xianglin Simov Alex Petkov Yavor
År 2016
Type Tidsskriftspublikasjon
Publikasjon

Tabular data cleaning and linked data generation with grafterizer

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1445642

Over the past several years the amount of published open data has increased significantly. The majority of this is tabular data, that requires powerful and flexible approaches for data cleaning and preparation in order to convert it into Linked Data. This paper introduces Grafterizer – a software fr...

Forfattere Sukhobok Dina Nikolov Nikolay Pultier Antoine Ye Xianglin Berre Arne- Jørgen Moynihan Rick Roberts Bill Elvesæter Brian Mahasivam Nivethika Roman Dumitru
År 2016
Type Tidsskriftspublikasjon
Publikasjon

Norwegian state of estate: A reporting service for the state-owned properties in norway

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1327293

Statsbygg is the public sector administration company responsible for reporting the state-owned property data in Norway. Traditionally the reporting process has been resource-demanding and error-prone. The State of Estate (SoE) business case presented in this paper is creating a new reporting servic...

Forfattere Shi Ling Pettersen Bjørg E. Østhassel Ivar Nikolov Nikolay Khorramhonarnama Arash Berre Arne- Jørgen Roman Dumitru
År 2015
Type Tidsskriftspublikasjon
Publikasjon

Integration of DSLs and migration of models: a case study in the cloud computing domain

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1286614

Domain-specific languages (DSLs) are high-level software languages representing concepts in a particular domain. In real-world scenarios, it is common to adopt multiple DSLs to solve different aspects of a specific problem. As any other software artefact, DSLs evolve independently in response to cha...

Forfattere Nikolov Nikolay Rossini Alessandro Kritikos Kyriakos
År 2015
Type Tidsskriftspublikasjon
Publikasjon

A Comparison of Two-Level and Multi-level Modelling for Cloud-Based Applications

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1254661

The Cloud Modelling Framework (CloudMF) is an approach to apply model-driven engineering principles to the specification and execution of cloud-based applications. It comprises a domain-specific language to model the deployment topology of multi-cloud applications, along with a models@run-time envir...

Forfattere Rossini Alessandro de Lara Juan Guerra Esther Nikolov Nikolay
År 2015
Type Del av bok/rapport
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