Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
RDF is a data model that allows to describe relationships between arbitrary entities in the form of subject-predicate-object. While representing data in such form is convenient, its efficient processing poses a number of challenges. Therefore, at present it is highly active research venue with lots of existing approaches. One of such approaches is based on characteristic sets. Essentially, it is a collection of records that describes an entity together with its properties. Usage of characteristic sets was shown to significantly speed up RDF query processing. In this paper we present a research proposal for a post-graduate project related to partitioning of tables obtained by characteristic set extraction. Our goal is to design a partitioning method that would be beneficial to processing of a such tables. In this report we survey existing RDF processing systems approaches, briefly describe our vision of partitioning approach and present a plan for further studies.
Язык оригинала | английский |
---|---|
Страницы (с-по) | 161-169 |
Число страниц | 9 |
Журнал | CEUR Workshop Proceedings |
Том | 2158 |
Состояние | Опубликовано - 1 сен 2018 |
Событие | 13th International Baltic Conference on Databases and Information Systems, DB and IS 2018 - Trakai, Литва Продолжительность: 1 июл 2018 → 4 июл 2018 |
ID: 35272854