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Semi-structured data : ウィキペディア英語版 | Semi-structured data Semi-structured data〔Tutorial on semi-structured data by Peter Buneman from Symposium on Principles of Database Systems, 1997 ()〕 is a form of structured data that does not conform with the formal structure of data models associated with relational databases or other forms of data tables, but nonetheless contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data. Therefore, it is also known as self-describing structure. In semi-structured data, the entities belonging to the same class may have different attributes even though they are grouped together, and the attributes' order is not important. Semi-structured data is increasingly occurring since the advent of the Internet where full-text documents and databases are not the only forms of data any more and different applications need a medium for exchanging information. In object-oriented databases, one often finds semi-structured data. == Types of Semi-structured data ==
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Semi-structured data」の詳細全文を読む
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