Conceptual Graphs Based Modeling of Semi-structured Data

被引：3

作者：

Varga, Viorica ^{[1
]}

Sacarea, Christian ^{[1
]}

Molnar, Andrea Eva ^{[1
]}

机构：

[1] Babes Bolyai Univ, Str Kogalniceanu 1, Cluj Napoca 400081, Romania

来源：

GRAPH-BASED REPRESENTATION AND REASONING (ICCS 2018) | 2018年 / 10872卷

关键词：

D O I：

10.1007/978-3-319-91379-7_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Due to the fast growing of data in the digital world, not only in volume but also in its variety (structured, un-structured or hybrid), traditional RDBMS are complemented with a rich set of systems, known as NoSQL. One of the main categories of NoSQL databases are document stores which are specifically designed to handle semi-structured data, for instance XML documents. In this paper, we present a modeling method for semi-structured data based on Conceptual Graphs and exemplify the method on an XML document. The expressive power of Conceptual Graphs makes them particularly suitable for conceptual modeling of semi-structured data.

引用

页码：167 / 175

页数：9

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