ALIGNED - Quality-centric Software and Data Engineering

Project start: 
Sunday, 1 February, 2015
Project end: 
Wednesday, 31 January, 2018
ALIGNED will managing the volume, variety and velocity of data available through the web, with particular focus on linked data, and integrating it into business processes, with particular focus on software engineering.

 

Who is the service/solution designed for?: 

Small & medium enterprises. Large companies. Technology providers, Research institutions.

How will your solution/service benefit the end-user? 

Spinning off technology company. Spinning off academic foundation. Injecting innovations into production tools of industrial partners.

The ALIGNED software and data engineering methodology will provide a basis for unified management views of co-evolving software and data systems.

Tool interoperability will be increased by publishing and consuming enterprise Linked Data that describes the lifecycle of the software and data engineering process.

Maintaining and integrating software and web data sources will be easier and the resultant quality and agility of these systems will be increased.

How can the solution/service help you become more efficient, more secure, faster or cost-effective?: 

Ability to create and analyse high-quality datasets and integrate them with business processes more efficiently.

Enhanced engineering processes methods and tools for data-intensive systems. This includes the development of the PoolParty semantic middleware, linked data quality management tools such as RDFUnit and Dacura, the open suite of ALIGNED vocabularies for describing data intensive system engineering and enabling tool-chain integration and model-driven engineering tools such as Booster and the Model catalogue. The Wolters Kluwer JURION Legal Information system will also be enhanced, DBpedia improved in terms of quality and release efficiency and the Seshat:Global History Databank will release expert curated social science data onto the web.

Go to Market Strategy (AKA - Potential exploitation strategy) 
 

 

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