The Expressive Power of SPARQL
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Executing SPARQL Queries over the Web of Linked Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Linked Data
Zero-knowledge query planning for an iterator implementation of link traversal based query execution
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Foundations of traversal based query execution over linked data
Proceedings of the 23rd ACM conference on Hypertext and social media
SPARQL for a web of linked data: semantics and computability
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
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The World Wide Web (WWW) currently evolves into a Web of Linked Data where content providers publish and link their data as they have done with hypertext for the last 20 years. We understand this emerging dataspace as a huge, distributed database which is -at best- partially known to query execution systems. To tap the full potential of the Web, such a system must be able to answer a query using data from initially unknown data sources. For this purpose, traditional query execution paradigms are unsuitable because those assume a fixed set of potentially relevant data sources beforehand. We demonstrate the query execution system SQUIN which implements a novel query execution approach. The main idea is to integrate the traversal of data links into the result construction process. This approach allows the execution engine to discover potentially relevant data during the query execution. In our demonstration, attendees can query the Web of Linked Data using SQUIN and, thus, learn about the new query execution approach. Furthermore, attendees can experience the suitability of the approach for Web applications by using a simple, Linked Data based mash-up implemented on top of SQUIN.