| dc.contributor.author | Greco, Sergio | en_US |
| dc.contributor.author | Molinaro, Cristian | en_US |
| dc.date.accessioned | 2016-06-10T08:32:18Z | |
| dc.date.available | 2016-06-10T08:32:18Z | |
| dc.date.issued | 2016 | en_US |
| dc.identifier.isbn | 9781627051132 | en_US |
| dc.identifier.isbn | 9781627051149 | en_US |
| dc.identifier.other | HPU1160123 | en_US |
| dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/21176 | |
| dc.description.abstract | The use of logic in databases started in the late 1960s. In the early 1970s Codd formalized databases in terms of the relational calculus and the relational algebra. A major influence on the use of logic in databases was the development of the field of logic programming. Logic provides a convenient formalism for studying classical database problems and has the important property of being declarative, that is, it allows one to express what she wants rather than how to get it. For a long time, relational calculus and algebra were considered the relational database languages. However, there are simple operations, such as computing the transitive closure of a graph, which cannot be expressed with these languages. Datalog is a declarative query language for relational databases based on the logic programming paradigm. | en_US |
| dc.format.extent | 171 p. | en_US |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en_US |
| dc.publisher | Morgan and Claypool Publishers | en_US |
| dc.relation.ispartofseries | Synthesis lectures on data management # 41 | en_US |
| dc.subject | Datalog | en_US |
| dc.subject | Logic databases | en_US |
| dc.subject | Database | en_US |
| dc.title | Datalog and logic databases | en_US |
| dc.type | Book | en_US |
| dc.size | 1,178KB | en_US |
| dc.department | English resources | en_US |
