Foundations of Linked Data
Module Description
Course | Module Abbreviation | Credit Points |
---|---|---|
BA-2010[100%|75%] | CS-CL | 6 LP |
BA-2010[50%] | BS-CL | 6 LP |
BA-2010[25%] | BS-AC | 4 LP |
Lecturer | Maribel Acosta Deibe Maria Koutraki |
Module Type | |
Language | English |
First Session | 10.02.2020 |
Last Session | 14.02.2020 |
Time and Place | daily, 09:00-17:00, INF 327 / SR 4 |
End of Commitment Period | 14.02.2020 |
Assessment
written exam (60 minutes)
Inhalt
The Linked Data principles are a set of practices for publishing knowledge graphs on the web. Linked Data builds on the web architecture and uses HTTP for data access, and RDF for describing data, thus aiming towards web-scale data integration. There is a vast amount of data available published according to those principles: recently, 4.5 billion facts have been counted with information about various domains, including music, movies, geography, natural sciences. A selection of the available knowledge graphs is available at
www.lod-cloud.net
. Linked Data is also used to make web-pages machine-understandable, corresponding annotations are considered by the big search engine providers.
The lecture combines techniques from different areas, such as databases and artificial intelligence, adapted for use on the web. The lecture covers foundational techniques to access, process and integrate data, both from a theoretical and practical perspective using the recommendations by the World Wide Web Consortium. The lecture sets out with a history of hypertext systems, followed from an introduction to web architecture and knowledge representation, including algorithms for query evaluation and deductive reasoning. The lecture closes with a discussion about current opportunities and challenges of applying Linked Data technologies together with natural language processing techniques.
Module Overview
Agenda
Date | Session | Materials |