Fuzzy Queries over NoSQL Graph Databases: Perspectives for Extending the Cypher Language
作者： Arnaud Castelltort , Anne Laurent
DOI: 10.1007/978-3-319-08852-5_40
关键词: Big data 、 Relational database 、 Query language 、 Information retrieval 、 Fuzzy logic 、 Network data 、 NoSQL 、 Programming language 、 Graph database 、 Computer science
摘要: When querying databases, users often wish to express vague concepts, as for instance asking the cheap hotels. This has been extensively studied in case of relational databases. In this paper, we propose study how such useful techniques can be adapted NoSQL graph databases where role fuzziness is crucial. Such are indeed among fastest-growing models dealing with big data, especially when network data (e.g., social networks). We consider Cypher declarative query language proposed Neo4j which current leader on market, and present fuzzy queries.
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