The aim of the summer school is to introduce to undergrad students (mainly, from the first two years of study) the main technologies, tools and topics that are linked to Open Data and Information Extraction. As these topics are usually studied during the senior year undergrad or even at graduate courses, the participating students will have the change to discover a new domain and to experiment with tools in order to see whether they consider interesting the technologies and topics related to Open Data and Information Extraction.
The Open Data Summer School is scheduled for 2 weeks (June 16th to June 27th 2014). During the first week the participants will attend a series of lectures presenting the main concepts related to Open Data and Information Extraction. In the second week, they will team up in small groups of 2-3 students in order to develop (with the help and guidance of the organizers) an application that makes use of the concepts and technologies studies during the first week of the summer school.
First week: June 16th to June 20th - Lectures and exercises/workshop from 10am-5pm
1. Crash Course in Python
2. Open Data Intro
3. Open Data Scripting (SPARQL, RDF & Python)
5. Elements of Natural Language Processing
6. Building an open data application
Second week: June 23rd to June 27th - Working on a project, with the help of the tutors, from 10am-5pm
Team 1 -
Team 2 -
Team 3 -
Lunch and beverages will be provided with the help of Stagii pe Bune