Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/eswc2009/paper/225> ?p ?o. }
Showing items 1 to 25 of
25
with 100 items per page.
- 225 creator enrico-minack.
- 225 creator wolf-siberski.
- 225 creator wolfgang-nejdl.
- 225 type InProceedings.
- 225 label "Benchmarking Fulltext Search Performance of RDF Stores".
- 225 sameAs 225.
- 225 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.".
- 225 hasAuthorList authorList.
- 225 hasTopic Database_management_system.
- 225 hasTopic Optimization_(computer_science).
- 225 hasTopic Performance_engineering.
- 225 hasTopic Query.
- 225 hasTopic SPARQL.
- 225 hasTopic Scalability.
- 225 hasTopic Search_engine.
- 225 hasTopic Semantic_Web.
- 225 hasTopic Test.
- 225 hasTopic Validation.
- 225 hasTopic Visualization.
- 225 isPartOf proceedings.
- 225 keyword "benchmark".
- 225 keyword "fulltext".
- 225 keyword "lubm".
- 225 keyword "rdf".
- 225 title "Benchmarking Fulltext Search Performance of RDF Stores".