Abstract
The vision of the Semantic Web is to make Web content machine-readable. To describe data, the Resource Description Framework has been extended with a schema-level and description logic (e.g. RDF-S and OWL DL). To successfully retrieve data described by RDF-based ontologies, the query language SPARQL is currently being developed at W3C. However, although SPARQL also provides a client/server protocol, currently queries are targeted to single sites only. For a large-scale data integration, which is the scope of a middleware developed within the Austrian Grid project, it is necessary to execute queries on distributed data nodes. Because of the large amount of research undertaken in the field of relational database systems, it is reasonable to apply relational algebra to SPARQL query processors. In fact, most RDF triple stores are based on relational database systems. In this paper, several concepts are proposed to enable the integration of heterogeneous, distributed data sources with SPARQL.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the DEXA Workshop on Web Semantics 2007 (accepted) |
| Number of pages | 5 |
| Publication status | Published - Sept 2007 |
Fields of science
- 102001 Artificial intelligence
- 102006 Computer supported cooperative work (CSCW)
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102016 IT security
- 102028 Knowledge engineering
- 102019 Machine learning
- 102022 Software development
- 102025 Distributed systems
- 502007 E-commerce
- 505002 Data protection
- 506002 E-government
- 509018 Knowledge management
- 202007 Computer integrated manufacturing (CIM)
- 102033 Data mining
- 102035 Data science
