studenti:summer-schools:open-data
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= Open Data Summer School =
Programme (tentative)
0. Opening
- June 16th, 11am, room EC101
- Why Open Data? What will you learn?
- Organization details
1. Crash Course in Python
- June 16th
- Python syntax
- Basic packages
- Useful packages for Open Data (data processing, visualization, text processing, http/crawling)
- Workshop: Develop your own Python app
2. Open Data Intro
- June 17th
- What is Open Data?
- Semantic Web and Linked Data
- Data modeling (RDF)
- Workshop: Model data using RDF
3. Open Data Scripting (SPARQL, RDF & Python)
- June 18th
- Querying the Semantic Web
- SPARQL and DBPedia
- Setting up a SPARQL endpoint
- Workshop: Querying DBPedia with Python and SPARQL
4. Technologies for Crawling and Indexing
- June 19th
- Web crawling
- Basics of web indexing and search
- Technologies in Java: Apache Nutch, Lucene, Solr
- Technologies in Python: Scrapy, BeautifulSoup
- Workshop: Crawling and indexing in Java/Python (TBD)
5. Elements of Natural Language Processing
- June 20th
- Basics of Natural Language Processing
- POS Tagging
- Dependency Parsing
- Named Entity Recognition
- Information Extraction
- Workshop: Java/Python for a simple NLP app
6. Building an open data application
- June 23rd-27th
- Decide upon a project idea
- Develop your project
- Project presentation: June 27th, 3pm, EC101
Team
- Vlad Posea
- Traian Rebedea
- Costin Chiru
- Mihai Dascalu
studenti/summer-schools/open-data.1401875933.txt.gz · Ultima modificare: de către traian.rebedea