Foundations of Linked Data
Lectures with exercises
4 SWS, ECTS-Studium, ECTS-Credits: 5
Time and location: see UnivIS.
Fields of study:
WPF WING-MA 2 (ECTS-Credits: 5)
WPF IIS-MA 2 (ECTS-Credits: 5)
WPF DS-MA ab 1 (ECTS-Credits: 5)
- Foundations of Linked Data
- Students should have a basic understanding of how the internet and the web work. Some knowledge of relational databases is beneficial.
- The Linked Data principles provide a unified interface to data and software systems based on web architecture. Linked Data is increasingly popular in scenarios where data and systems from multiple providers have to be integrated, both in an enterprise setting and on open data from the web.The lecture covers foundational techniques to access, process and integrate data, both from a theoretical and a practical perspective, and provides a coherent treatment of protocols and languages specified by the World Wide Web Consortium.
- The lecture combines techniques from different areas, such as databases and artificial intelligence, adapted for use in a decentralised setting on the web. The overarching topic is to facilitate data integration on the basis of resource-oriented modelling, knowledge representation, hyperlinks and state transfer between user agents and servers.
- 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 user agents for querying integrated data from sources attainable through the web.
The following books give an overview of the topics of the lecture:
Tim Berners-Lee. Weaving the Web. Harper, 1999
Tom Heath, Christian Bizer. Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool, 2011.
Dean Allemang. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann, 2008.
For a brief motivation read a recent article in Vanity Fair magazine.
Keywords: Internet, World Wide Web
Join the StudOn instance: https://www.studon.fau.de/crs4347791_join.html