0


语义网编程

Programming the Semantic Web
课程网址: http://videolectures.net/eswc2014_staab_semantic_web/  
主讲教师: Fabien Gandon
开课单位: 法国国家信息与自动化研究所
开课时间: 2014-07-30
课程语种: 英语
中文简介:

语义Web改变了我们处理数据的方式,因为关于我们处理的数据的性质的假设与已建立的数据库方法中的假设有很大的不同。语义Web数据是(i)由不同的人以特殊方式提供的,(ii)分布式的,(iii)半结构化的,(iv)(或多或少)类型的,(v)应该是偶然使用的。实际上,这些都是高度相关的假设和挑战,因为它们在各种以数据为中心的挑战中都经常遇到-甚至在未使用语义Web标准的情况下。但是,它们仅在现有的语义Web数据编程方法中得到部分解决,这些方法包括(i)语义搜索,(ii)图编程和(iii)传统数据库编程方法。本演讲的主要假设是,我们尚未开发出正确的编程范例来处理语义Web数据的适当性质,因为上述方法均未充分考虑其特征。因此,我想概述对语义Web数据的实证研究以及针对语义Web编程的最新发展,其目标是减少数据工程和编程方法之间的阻抗不匹配。

课程简介: The Semantic Web changes the way we deal with data, because assumptions about the nature of the data that we deal with differ substantially from the ones in established database approaches. Semantic Web data is (i) provided by different people in an ad-hoc manner, (ii) distributed, (iii) semi-structured, (iv) (more or less) typed, (v) supposed to be used serendipitously. In fact, these are highly relevant assumptions and challenges, because they are frequently encountered in all kind of data-centric challenges – also in cases where Semantic Web standards are not in use. However, they are only partially accounted for in existing programming approaches for Semantic Web data including (i) semantic search, (ii) graph programming, and (iii) traditional database programming approaches. The main hypothesis of this talk is that we have not yet developed the right kind of programming paradigms to deal with the proper nature of Semantic Web data, because none of the mentioned approaches fully considers its characteristics. Thus, I want to outline empirical investigations of Semantic Web data and recent developments towards Semantic Web programming that target the reduction of the impedance mismatch between data engineering and programming approaches.
关 键 词: 处理数据; 语义Web
课程来源: 视频讲座网
数据采集: 2020-11-03:zyk
最后编审: 2020-11-03:zyk
阅读次数: 37