Marcin Wylot

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Processing large volumes of RDF data requires sophisticated tools. In recent years, much effort was spent on optimizing native RDF stores and on repurposing relational query engines for large-scale RDF processing. Concurrently, a number of new data management systems— regrouped under the NoSQL (for “not only SQL”) umbrella—rapidly rose to prominence and(More)
Given the heterogeneity of the data one can find on the Linked Data cloud, being able to trace back the provenance of query results is rapidly becoming a must-have feature of RDF systems. While provenance models have been extensively discussed in recent years, little attention has been given to the efficient implementation of provenance-enabled queries(More)
Following article describes available information presenting current knowledge on prolactin receptors expression and prolactin actions in the prostate gland. Prostate is strongly androgen dependent gland, however poseses receptors for other ligands including hypophyseal hormones and growth factors. More over prolactin is also locally produced and secreted(More)
The effect of hyperprolactinemia on the prostate has not been well investigated. Since androgens play an important role in prostate development, growth and function, the goal of the present study was to estimate the influence of hyperprolactinemia on expression of the androgen receptor (AR) in rat epithelial cells of prostate dorsal lobe and on morphology(More)
The proliferation of semantic data on the Web requires RDF database systems to constantly improve their scalability and transactional efficiency. At the same time, users are increasingly interested in investigating or visualizing large collections of online data by performing complex analytic queries. This paper introduces a novel database system for RDF(More)
UNLABELLED The prolactin plays an important role in the regulation of growth and differentiation of prostate gland besides androgens. The goal of this study was to reveal the influence of elevated prolactin concentration on epithelial cells of prostate. We compared the morphology of epithelial cells of prostate dorsal, lateral and ventral lobes and(More)
The proliferation of heterogeneous Linked Data on the Web poses new challenges to database systems. In particular, because of this heterogeneity, the capacity to store, track, and query provenance data is becoming a pivotal feature of modern triple stores. In this paper, we tackle the problem of efficiently executing provenance-enabled queries over RDF(More)
The proliferation of semantic data on the Web requires RDF database systems to constantly improve their scalability and efficiency. At the same time, users are increasingly interested in investigating large collections of online data by performing complex analytic queries (e.g.,“how did university student performance evolve over the last 5 years?”). This(More)
Despite recent advances in distributed RDF data management, processing large-amounts of RDF data in the cloud is still very challenging. In spite of its seemingly simple data model, RDF actually encodes rich and complex graphs mixing both instance and schema-level data. Sharding such data using classical techniques or partitioning the graph using(More)
The effect of hyperprolactinaemia on the prostate has still not been fully elucidated. The aim of the study was to estimate the influence of hyperprolactinaemia on expression of the androgen receptor (AR) in rat epithelial cells of the prostate lateral lobe and on the morphology of these cells. Studies were performed on sexually mature male Wistar rats. To(More)