Temporal RDF(S) Data Storage and Query with HBase
| Autor: | Dan Yang, Li Yan, Zheqing Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
Database business.industry Computer science Big data computer.file_format computer.software_genre Metadata modeling Storage model lcsh:QA75.5-76.95 temporal RDF HBase storage query Computer data storage World Wide Web Consortium lcsh:Electronic computers. Computer science RDF business computer Temporal information |
| Zdroj: | Journal of computing and information technology Volume 27 Issue 4 Journal of Computing and Information Technology, Vol 27, Iss 4, Pp 17-30 (2019) |
| ISSN: | 1846-3908 1330-1136 |
| Popis: | Resource Description Framework (RDF) is a metadata model recommended by World Wide Web Consortium (W3C) for describing the Web resources. With the arrival of the era of Big Data, very large amounts of RDF data are continuously being created and need to be stored for management. The traditional centralized RDF storage models cannot meet the need of largescale RDF data storage. Meanwhile, the importance of temporal information management and processing has been acknowledged by academia and industry. In this paper, we propose a storage model to store temporal RDF based on HBase. The proposed storage model applies the built-in time mechanism of HBase. Our experiments on LUBM dataset with temporal information added show that our storage model can store large temporal RDF data and obtain good query efficiency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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