A heuristic approach to query generalisation in semantic databases

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dc.contributor.authorMcGeachie, Craig I.
dc.date.accessioned2015-02-16T23:51:43Z
dc.date.available2015-02-16T23:51:43Z
dc.date.issued1995en
dc.description.abstractImprecise querying is a technique where any database query that has no answer can be generalised into a form that does have an answer. This generalisation is done by carefully relaxing the restrictions specified in the query. Imprecise querying can be performed in a variety of database system types, but the majority of work has been in the relational model.en
dc.identifier.urihttp://hdl.handle.net/10092/10175
dc.language.isoen
dc.publisherUniversity of Canterbury. Computer Scienceen
dc.relation.isreferencedbyNZCUen
dc.rightsCopyright Craig I. McGeachieen
dc.rights.urihttps://canterbury.libguides.com/rights/thesesen
dc.subject.anzsrcField of Research::08 - Information and Computing Sciences::0803 - Computer Softwareen
dc.titleA heuristic approach to query generalisation in semantic databasesen
dc.typeReports
thesis.degree.grantorUniversity of Canterburyen
thesis.degree.levelBachelors with Honoursen
thesis.degree.nameBachelor of Science with Honoursen
uc.collegeFaculty of Engineeringen
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