Combining Data Science and Software Engineering

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. We want to bring together the expertise, methods and tools of software and data engineering, but most efforts are siloed in the software or data spaces. Linked Data gives access to large volumes of structured data on the web, but at the enterprise level it also facilites tool integration and unified engineering processes for building data intensive systems. Come along to be part of a discussion on how best to leverage semantics for software engineering of big data systems.

On 2-4 March 2016 the ALIGNED (http://aligned-project.eu/)* team is meeting in Vienna for a project plenary and therefore around 25 experts in the topics of data science and software engineering will be participate the meetup on 1 March 2016 at the Impact Hub.

Agenda

19:00 Welcome, Andreas Koller (SWC)

19:10 Mind the Gap! Data Science Meets Software Engineering, Bernhard Haslhofer (Austrian Institute of Technology)

19:30 JURION: ALIGNEDment of software and data towards smart data-intensive legal information systems, Christian Dirschl (Wolters Kluwer Deutschland)

19:45 The Role of Semantic (Stream) Processing in an Smart City ICT Infrastructure - The Aspern Smart City Use Case, Josiane Xavier Parreira (Senior Research Scientist at Siemens)

20:00 ALIGNED - Bringing together Software and Data Engineering, Rob Brennan (Trinity College Dublin)

20:15 Networking & Drinks

21:30/22:00 end of event

*) The EU Horizion 2020 funded project ALIGNED (http://aligned-project.eu/) develops models, methods and tools for engineering information systems based on co-evolving software and web data. ALIGNED’s tools for model-driven software evolution based on Linked Data sources, runtime data quality analytics, human data curation and process integration aid more efficient governance, increased agility and higher productivity.