An Overview on Execution Strategies for Linked Data Queries
dc.contributor.author | Hartig, Olaf | |
dc.date.accessioned | 2018-01-10T13:19:05Z | |
dc.date.available | 2018-01-10T13:19:05Z | |
dc.date.issued | 2013 | |
dc.description.abstract | The publication of Linked Open Data on the Web has gained tremendous momentum over the last five years. This development makes possible (and interesting) the execution of queries using up-to-date data from multiple, automatically discovered data sources. As a result, we currently witness the emergence of a new research area that focuses on an online execution of Linked Data queries; i.e. queries that range over data that is made available using the Linked Data publishing principles.This article provides a general overview on this new area. In particular, we introduce the specific challenges that need to be addressed and then focus on possible strategies for executing Linked Data queries. Furthermore, we classify approaches proposed in the literature w.r.t. these strategies. | |
dc.identifier.pissn | 1610-1995 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11678 | |
dc.publisher | Springer | |
dc.relation.ispartof | Datenbank-Spektrum: Vol. 13, No. 2 | |
dc.relation.ispartofseries | Datenbank-Spektrum | |
dc.subject | Comparison | |
dc.subject | Linked data | |
dc.subject | Query execution | |
dc.subject | RDF | |
dc.subject | SPARQL | |
dc.subject | Survey | |
dc.subject | Web of data | |
dc.title | An Overview on Execution Strategies for Linked Data Queries | |
dc.type | Text/Journal Article | |
gi.citation.endPage | 99 | |
gi.citation.startPage | 89 |