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发现和构建Web源的语义模型

Discovering and building semantic models of web sources
课程网址: http://videolectures.net/eswc09_knoblock_dabsm/  
主讲教师: Craig Knoblock
开课单位: 南加州大学
开课时间: 2009-07-28
课程语种: 英语
中文简介:
实现语义Web的广泛使用取决于具有语义注释的临界质量的Web数据。由于目前有大量的资源可用而没有任何此类注释,因此面临的挑战是如何为这些资源找到并构建语义模型。在本次演讲中,我将介绍一种集成的端到端方法,该方法可自动发现生成Web源的信息,从这些源调用和提取数据,构建源的语义模型,并通过将源生成的数据与源生成的数据进行比较来验证结果。来源的模型。这些技术在称为DEIMOS的系统中实现,该系统完全集成了各种技术
课程简介: To achieve widespread use of the Semantic Web depends on having a critical mass of Web data available with semantic annotations. Since there are a huge number of sources available today without any such annotations, the challenge is how to find and build semantic models for these sources. In this talk I will describe an integrated end-to-end approach that automatically discovers information-producing web sources, invokes and extracts the data from these sources, builds semantic models of the sources, and validates the results by comparing the data produced by the source with the model of the source. These techniques are implemented in a system called DEIMOS, which integrates a diverse set of technologies to completely
关 键 词: 语义Web; Web数据; 端到端方法
课程来源: 视频讲座网
最后编审: 2019-04-10:lxf
阅读次数: 52