Database Techniques for Linked Data Management
Summary: Tutorial on database techniques for querying Linked Data at web scale, with optimized indexing and centralized/distributed query processing. Relates Linked Data to Dataspaces and distributed DB concepts, highlighting opportunities in data management. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Andreas Harth (Karlsruhe Institute of Technology)
- 2. Katja Hose (Max Planck Institute)
- 3. Ralf Schenkel (Saarland University)
BibTeX Citation
@inproceedings{harth_sigmod12,
title = {{Database Techniques for Linked Data Management}},
author = {Harth, Andreas and Hose, Katja and Schenkel, Ralf},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213909},
url = {https://dl.acm.org/doi/10.1145/2213836.2213909},
year = {2012}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 542 | Hexastore: Sextuple Indexing for Semantic Web Data Management | 2008 | VLDB | 0.00016838296 |
| 1,565 | Column-Store Support for RDF Data Management: not all swans are white | 2008 | VLDB | 0.00010349261 |
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