This document summarizes a presentation about the ALIGNED project, which received funding from the European Union's Horizon 2020 program. The project aims to develop new methods for parallel software and data engineering of web-scale information systems using Linked Data. It will support the evolution of software that depends on heterogeneous data with independent lifecycles. The project involves partners from universities and companies and will last from 2015 to 2018.

1. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644055.
ALIGNED - Combining Data
and Software Engineering on the Web
Rob Brennan, Trinity College Dublin
DBpedia Community Meeting, 9th Feb 2015

2. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644055.
• Newsflash: Data = $$$
• (Web) Data intensive systems:
• Depend on software and data
• Software must change over time => -$
• Data has independent lifecycle => -$$
• Data quality concerns, heterogeneity => - $$$
Motivation

3. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644055.
• New methods for parallel software and data
engineering of web-scale information systems.
• Linked Data the unifying foundation for system
specification, process and tool integration.
• Support evolution of software dependent on
heterogeneous data of varying quality with an
independent lifecycle.
ALIGNED Project Goals

4. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644055.
Themes
Enterprise Linked
Data
Linked Data
quality engineering
processes
Semantic
model-driven
software
engineeringWeb-scale
systems
Tools for
increased
productivity and
agility
Align software
engineering and data
engineering life-cycles

5. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644055.
• Knowledge and Data Engineering Group,
School of Computer Science and Statistics, Trinity College Dublin
• Software Engineering Group,
Department of Computer Science, University of Oxford
• Institute of Cognitive and Evolutionary Anthropology,
School of Anthropology and Museum Ethnography, University of Oxford
• Agile Knowledge Engineering and Semantic Web Group,
The Institute for Applied Computer Science, Universität Leipzig
• Semantic Web Company GmbH
• Content Strategy and Architecture Department,
Wolters Kluwer Germany
Wolters Kluwer Poland
• Institute of Prehistory
Adam Mickiewicz University at Poznan
Partners

6. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644055.
Tools
Platforms
Use Cases
Pool Party
Enterprise semantic-
integration platform
Dacura
Dataset-curation
service platform
Process
Alignment
JURION
Data
Processing
PoolParty
Software
Engineering
Seshat DBpedia
RDFUnit,
qSKOS
Semantic
Booster
JURION
Software
Engineering
LOD2 open-source tools
ORE DL-Learner …
Enterprise
Tools
Model
Catalogue

7. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644055.
• 3-year H2020 Research and Innovation project (action)
• 1 Feb 2015 – 31 Jan 2018
• Funded in EC LEIT (Leadership in Enabling and Industrial
Technologies) program
• Call: ICT 9 – 2014: Tools and Methods for Software
Development
• One of 7 projects selected from 75 submissions
• Overseen by the EC “Software & Services, Cloud” unit
• Website: www.aligned-project.eu
• Project number: 644055
Key Facts - ALIGNED

8. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644055.
Thank-You!