Leveraging Linked Data Using Python and SPARQL

Explore the power of Linked Data using Python and SPARQL in this informative EuroPython 2021 conference talk. Discover how to extract valuable knowledge from Wikipedia without traditional web scraping methods. Learn about community-driven projects that structurally store Wikipedia's information, making it accessible through SPARQL queries. Gain insights into the basics of the Open Web and how to leverage Python for data mining in various Data Science projects. Delve into topics such as DBpedia, Wikidata, and the fundamentals of Linked Data. Master the art of querying DBpedia and Wikidata by building SPARQL queries and utilizing Python's SPARQLWrapper. Follow along with practical Python code examples to create tabular datasets, develop corpora for language models, and construct domain-specific corpora using both SPARQLWrapper and Wikipedia. This talk is ideal for those with basic knowledge of Python programming, Natural Language Processing, and SQL, offering a comprehensive introduction to leveraging Linked Data for data science applications.

Nabanita Roy - Leveraging Linked Data using Python and SPARQL