民间驱动结构网络
Folksodriven Structure Network
摘要：
如今，大众分类法被用作一个系统，它来源于用户生成的电子标签或关键字，用于注释和描述在线内容。但它不是一个本体论的分类系统。要将其视为一个分类系统，就必须由所有用户共享上下文的表示。本文提出了一个新的概念：“民俗驱动的结构网络”来表示民俗分类和网络理论的使用。本文提出并分析了网络结构的Folksodrived标签认为folsksonomy标签建议，为用户建立一个数据集上选择的网站。据观察，Folksodrived网络具有相对较低的路径长度检查它与经典的网络措施（聚类系数）。实验结果表明，该方法可以促进用户之间的偶然发现。整洁的例子和清晰的公式可以展示如何使用“Folksodrived结构网络”来解决本体映射的挑战。
英文摘要：
Nowadays folksonomy is used as a system derived from user-generated electronic tags or keywords that annotate and describe online content. But it is not a classification system as an ontology. To consider it as a classification system it would be necessary to share a representation of contexts by all the users. This paper is proposing the use of folksonomies and network theory to devise a new concept: a "Folksodriven Structure Network" to represent folksonomies. This paper proposed and analyzed the network structure of Folksodriven tags thought as folsksonomy tags suggestions for the user on a dataset built on chosen websites. It is observed that the Folksodriven Network has relative low path lengths checking it with classic networking measures (clustering coefficient). Experiment result shows it can facilitate serendipitous discovery of content among users. Neat examples and clear formulas can show how a "Folksodriven Structure Network" can be used to tackle ontology mapping challenges.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
