Database foundations for scalable RDF processing

Hose, Katja and Schenkel, Ralf and Theobald, Martin and Weikum, Gerhard (2011) Database foundations for scalable RDF processing. In: 7th International Summer School Semantic Technologies for the Web of Data, 2011.

Full text not available from this repository.


As more and more data is provided in RDF format, storing huge amounts of RDF data and efficiently processing queries on such data is becoming increasingly important. The first part of the lecture will introduce state-of-the-art techniques for scalably storing and querying RDF with relational systems, including alternatives for storing RDF, efficient index structures, and query optimization techniques. As centralized RDF repositories have limitations in scalability and failure tolerance, decentralized architectures have been proposed. The second part of the lecture will highlight system architectures and strategies for distributed RDF processing. We cover search engines as well as federated query processing, highlight differences to classic federated database systems, and discuss efficient techniques for distributed query processing in general and for RDF data in particular. Extracting knowledge from the Web is an excellent showcase — and potentially one of the biggest challenges — for the scalable management of uncertain data we have seen so far. The third part of the lecture is intended to provide a close-up on current approaches and platforms to make reasoning (e.g., in the form of probabilistic inference) with uncertain RDF data scalable to billions of triples.

Item Type: Conference or Workshop Item (Paper)
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Publications
Depositing User: Prof. Dr. Martin Theobald
Date Deposited: 09 Sep 2015 18:57
Last Modified: 09 Sep 2015 18:57

Actions (login required)

View Item
View Item