Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | The Semantic Web |
| Untertitel | Research and Applications - 6th European Semantic Web Conference, ESWC 2009, Proceedings |
| Seiten | 81-95 |
| Seitenumfang | 15 |
| ISBN (elektronisch) | 978-3-642-02121-3 |
| Publikationsstatus | Veröffentlicht - 2009 |
| Veranstaltung | 6th European Semantic Web Conference, ESWC 2009 - Heraklion, Crete, Griechenland Dauer: 31 Mai 2009 → 4 Juni 2009 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 5554 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
More and more applications use the RDF framework as their data model and RDF stores to index and retrieve their data. Many of these applications require both structured queries as well as fulltext search. SPARQL addresses the first requirement in a standardized way, while fulltext search is provided by store-specific implementations. RDF benchmarks enable developers to compare structured query performance of different stores, but for fulltext search on RDF data no such benchmarks and comparisons exist so far. In this paper, we extend the LUBM benchmark with synthetic scalable fulltext data and corresponding queries for fulltext-related query performance evaluation. Based on the extended benchmark, we provide a detailed comparison of fulltext search features and performance of the most widely used RDF stores. Results show interesting RDF store insights for basic fulltext queries (classic IR queries) as well as hybrid queries (structured and fulltext queries). Our results are not only valuable for selecting the right RDF store for specific applications, but also reveal the need for performance improvements for certain kinds of queries.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
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The Semantic Web: Research and Applications - 6th European Semantic Web Conference, ESWC 2009, Proceedings. 2009. S. 81-95 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 5554 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Benchmarking fulltext search performance of RDF stores
AU - Minack, Enrico
AU - Siberski, Wolf
AU - Nejdl, Wolfgang
PY - 2009
Y1 - 2009
N2 - More and more applications use the RDF framework as their data model and RDF stores to index and retrieve their data. Many of these applications require both structured queries as well as fulltext search. SPARQL addresses the first requirement in a standardized way, while fulltext search is provided by store-specific implementations. RDF benchmarks enable developers to compare structured query performance of different stores, but for fulltext search on RDF data no such benchmarks and comparisons exist so far. In this paper, we extend the LUBM benchmark with synthetic scalable fulltext data and corresponding queries for fulltext-related query performance evaluation. Based on the extended benchmark, we provide a detailed comparison of fulltext search features and performance of the most widely used RDF stores. Results show interesting RDF store insights for basic fulltext queries (classic IR queries) as well as hybrid queries (structured and fulltext queries). Our results are not only valuable for selecting the right RDF store for specific applications, but also reveal the need for performance improvements for certain kinds of queries.
AB - More and more applications use the RDF framework as their data model and RDF stores to index and retrieve their data. Many of these applications require both structured queries as well as fulltext search. SPARQL addresses the first requirement in a standardized way, while fulltext search is provided by store-specific implementations. RDF benchmarks enable developers to compare structured query performance of different stores, but for fulltext search on RDF data no such benchmarks and comparisons exist so far. In this paper, we extend the LUBM benchmark with synthetic scalable fulltext data and corresponding queries for fulltext-related query performance evaluation. Based on the extended benchmark, we provide a detailed comparison of fulltext search features and performance of the most widely used RDF stores. Results show interesting RDF store insights for basic fulltext queries (classic IR queries) as well as hybrid queries (structured and fulltext queries). Our results are not only valuable for selecting the right RDF store for specific applications, but also reveal the need for performance improvements for certain kinds of queries.
UR - http://www.scopus.com/inward/record.url?scp=69849104660&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02121-3_10
DO - 10.1007/978-3-642-02121-3_10
M3 - Conference contribution
AN - SCOPUS:69849104660
SN - 978-3-642-02120-6
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 81
EP - 95
BT - The Semantic Web
T2 - 6th European Semantic Web Conference, ESWC 2009
Y2 - 31 May 2009 through 4 June 2009
ER -