A fuzzy object query language (FOQL) for image databases
作者： S. Nepal , M.V. Ramakrishna , J.A. Thom
DOI: 10.1109/DASFAA.1999.765743
关键词: Sargable 、 Web query classification 、 Database 、 Information retrieval 、 Computer science 、 RDF query language 、 Query by Example 、 Web search query 、 Query optimization 、 Query expansion 、 Query language
摘要: Content based retrieval systems have been developed for querying image data in which the users can pose queries on visual properties such as color and texture. These systems, advanced state of art database remarkably lack formal query languages. The traditional languages are unable to capture inherent fuzzy nature content querying. object language (FOQL) presented this paper addresses need support values collections required databases. It be used defining schemas high level concepts, captures by keeping results against other interactively refine their concept definitions using recursive named definition constructs FOQL. Being an extension ODMG-OQL, FOQL easily mapped ODMG-compliant
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