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Aligned, Quality-centric Software and Data Engineering

Aligned, Quality-centric Software and Data Engineering

Objective

The rapid growth of web data creates demand for software engineering methods which can build and maintain applications that extract, process and publish web data. However, converting Big Data sources into high-quality, structured knowledge for use in business processes is usually considered data engineering. ALIGNED will develop models, methods and tools for engineering information systems based on co-evolving software and web data. Tools for model-driven software evolution based on Linked Data sources, runtime data quality analytics, human data curation and process integration will aid more efficient governance, increased agility and higher productivity.

The opportunities for web data have recently led to intense research and innovation, but most efforts are siloed in the software or data spaces. Past integration of data and software engineering used formal ontologies rather than Linked Data. ALIGNED will provide lightweight methods for European data and software engineering industries to exploit the new opportunities in web data. Information companies like Wolters Kluwer need better ways to extract web data and build applications on top of it. Public bodies like the UK National Health Service (NHS) need evolving systems for data collection and re-use. Web data publishers like DBpedia need new methods to improve data quality. Scientific publications, industry workshops, training programs, open source tools and engaging the OMG, W3C and ISO standards bodies will transfer ALIGNED outputs.

ALIGNED combines world class researchers in model driven software engineering (Oxford are transforming NHS systems), Linked Data quality (Leipzig and Trinity College have published foundational papers) and web systems (Leipzig are co-creators of DBpedia) with innovative enterprises (Wolters Kluwer have Linked Data in production systems, Semantic Web Company lead the world in enterprise Linked Data) and pioneering expert-curated data publishers (Oxford Anthropology and Posnan).

Coordinator

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

Address

College Green
2 Dublin

Ireland

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 986 040

Participants (5)

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THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

United Kingdom

EU Contribution

€ 982 119

UNIVERSITAET LEIPZIG

Germany

EU Contribution

€ 625 950

SEMANTIC WEB COMPANY GMBH

Austria

EU Contribution

€ 620 950

WOLTERS KLUWER DEUTSCHLAND GMBH

Germany

EU Contribution

€ 614 375

UNIWERSYTET IM. ADAMA MICKIEWICZA W POZNANIU

Poland

EU Contribution

€ 170 500

Project information

Grant agreement ID: 644055

Status

Closed project

  • Start date

    1 February 2015

  • End date

    31 January 2018

Funded under:

H2020-EU.2.1.1.3.

  • Overall budget:

    € 3 999 934

  • EU contribution

    € 3 999 934

Coordinated by:

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

Ireland