バージョン 41 から バージョン 42 における更新: survey
- 更新日時:
- 2012/07/05 17:31:18 (12 年 前)
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survey
v41 v42 10 10 * Mulgara [wiki:Mulgara => Mulgara ] 11 11 * Owlim-SE [wiki:OwlimSe => OwlimSe ] 12 * Virtuoso [wiki:Virtuoso => Virtuoso ] 13 12 * Virtuoso [wiki:Virtuoso => Virtuoso ] 14 13 15 14 … … 18 17 === Overview === #overview 19 18 20 We present an evaluation of native triple stores on biological data. Compared with the data in other areas biological data is typically huge. Therefore the performance of bulk loading and querying are essential to decide whether a triple store can be applied into the biological field. Here we test five native triple stores Virtuoso, OwlimSE, Mulgara, 4store, and Bigdata with five biological dataset, which ranging from tens of millions to eight billions. We present their load times and query cost.19 We present an evaluation of native triple stores on biological data. Compared with the data in other areas biological data is typically huge. Therefore the performance of bulk loading and querying are essential to decide whether a triple store can be applied into the biological field. We test five native triple stores Virtuoso, OwlimSE, Mulgara, 4store, and Bigdata. We select five real biological data set instead synthetic ones, which ranging from tens of millions to eight billions. We present their load times and query cost. We do not test the inference ability this time. 21 20 22 21 For each database we provide several results by adjusting their parameters, which could influence the performance importantly. However These parameters could perform differently with different hardware and software platforms, and even with different data set. It is difficult to test all the cases by adjusting and combining all the parameters for every data set because the importing of our data set, such as uniprot and DDBJ, may take over two days or several weeks. Therefore we do not guarantee what we provide is the best performance of each database although we try to find out the best performance for each triple store. … … 44 43 45 44 Virtuoso provides a triple storage solution for RDF in RDBMS platform. Virtuoso is multi-protocol RDBMS for RDBMS, RDF, XML and so on. It offers stored procedures to load RDFXML, ntriples, and compressed triples and supports for SPARQL. Virtuoso supports limited RDFS and OWL inferencing. Virtuoso can be run in both standalone and cluster mode.The function as a standalone triple store server is available in both open source and commercial licenses. Please refer to [http://virtuoso.openlinksw.com/]. 45 46 The following table summarizes some basic information. 46 47 47 48
