Mongo2SPARQL: Automatic and Semantic Query Conversion of MongoDB Query Language to SPARQL
| Autor: | Abdeljalil Boumlik, Mohamed Bahaj, Nassima Soussi |
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| Rok vydání: | 2017 |
| Předmět: |
Semantic query
Information retrieval Web search query View Computer science 04 agricultural and veterinary sciences computer.file_format NoSQL computer.software_genre 040401 food science World Wide Web 0404 agricultural biotechnology Web query classification SPARQL Semantic Web Stack computer RDF query language computer.programming_language |
| Zdroj: | Transactions on Machine Learning and Artificial Intelligence. 5 |
| ISSN: | 2054-7390 |
| DOI: | 10.14738/tmlai.54.2984 |
| Popis: | In the last decades, the web has experienced a quantitative explosion of digital data handled by companies or organizations, prompting web users to switch to NoSQL system dedicated to Big Data in order to support large web sites destined for a very big audience due to the scalability and high availability of this system. In the other hand, the semantic web technologies has emerged with their considerable performance in data management by giving the web information a well-defined meaning, and allowing machines to intelligently access to different data sources. However, there is no bridge or an open extension toward these two systems; in addition, each NoSQL database has its own query language and does not support the standards of other systems (such as semantic web). All these reasons have motivated us to operate in this topic in order to unify the NoSQL query language and contribute in the interoperability of the both world with a specific focus on MongoDB as the most used NoSQL document oriented database by proposing the first provably semantic preserving algorithm named Mongo2SPARQL which transform MongoDB query language queries to its equivalent SPARQL ones based on the grammar of both languages. |
| Databáze: | OpenAIRE |
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