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用于数据挖掘的形式化的背景知识的XML模式和主题映射本体

An XML Schema and a Topic Map Ontology for Formalization of Background Knowledge in Data Mining
课程网址: http://videolectures.net/eswc2010_hazucha_axsa/  
主讲教师: Andrej Hazucha
开课单位: 经济大学
开课时间: 2010-06-30
课程语种: 英语
中文简介:
背景(有时也称为领域)知识广泛用于数据挖掘,用于数据预处理和面向掘金的数据挖掘任务:它对于限制搜索空间和修剪结果至关重要。尽管从领域专家那里获取背景知识的成本很高,但到目前为止,设计一个通用的表示交换标准的努力还很少。本文提出了一种轻量级的XML模式背景知识交换格式(BKEF),将背景知识本体(BKON)作为特征和模式信息的语义抽象。bkon的目的是使分析数据与现有的领域本体进行推理和集成。我们展示了一个产生bkef的启发式接口,并讨论了这种背景知识与领域本体集成的可能性。
课程简介: Background (or sometimes referred to as domain) knowledge is extensively used in data mining for data pre-processing and for nugget-oriented data mining tasks: it is essential for constraining the search space and pruning the results. Despite the costs of eliciting background knowledge from domain experts, there has been so far little effort to devise a common exchange standard for its representation. This paper proposes the Background Knowledge Exchange Format (BKEF), a lightweight XML Schema for storing information on features and patterns, and the Background Knowledge Ontology (BKOn), as its semantic abstraction. The purpose of BKOn is to allow reasoning over and integration of analysed data with existing domain ontologies. We show an elicitation interface producing BKEF and discuss the possibilities for integration of such background knowledge with domain ontologies.
关 键 词: 数据挖掘; 数据预处理; 背景知识本体 (BKOn)
课程来源: 视频讲座网
最后编审: 2020-09-21:heyf
阅读次数: 52