A comparison of historical relational query languages
dc.citation.epage | 282 | en_US |
dc.citation.spage | 275 | en_US |
dc.contributor.author | Tansel, Abdullah Uz | en_US |
dc.contributor.author | Tin, E. | en_US |
dc.coverage.spatial | London, England | |
dc.date.accessioned | 2016-02-08T12:01:49Z | |
dc.date.available | 2016-02-08T12:01:49Z | |
dc.date.issued | 1994-07 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Conference name: Proceedings of the 1994 Engineering Systems Design and Analysis Conference : presented at the Second Biennial European Joint Conference on Engineering Systems Design and Analysis | |
dc.description | Date of Conference: 4-7 July, 1994 | |
dc.description.abstract | We introduce a historical relational data model in which N1NF relations are used and 1-level of nesting is allowed. Attributes can either be atomic or temporal atom. An atomic attribute represents a time invariant attribute. A temporal atom consists of two components, a value and a temporal set, which is a set of times denoting the validity period of the value. We define a relational tuple calculus for this model. We follow a comparative approach towards completeness of historical query languages. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:01:49Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1994 | en |
dc.identifier.uri | http://hdl.handle.net/11693/27790 | |
dc.language.iso | English | en_US |
dc.publisher | ASME | en_US |
dc.source.title | The Second Biennial European Joint Conference on Engineering Systems Design and Analysis,1994 | en_US |
dc.subject | Computational complexity | en_US |
dc.subject | Data structures | en_US |
dc.subject | Relational database systems | en_US |
dc.subject | Historical database (HDB) | en_US |
dc.subject | Relational query languages | en_US |
dc.subject | Query languages | en_US |
dc.title | A comparison of historical relational query languages | en_US |
dc.type | Conference Paper | en_US |
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