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一个协作语义Web层,用于增强遗留系统

A Collaborative Semantic Web Layer to Enhance Legacy Systems
课程网址: http://videolectures.net/iswc07_gangemi_cswl/  
主讲教师: Aldo Gangemi
开课单位: 认知科学与技术研究所
开课时间: 2008-01-31
课程语种: 英语
中文简介:
本演讲介绍了向遗留组织信息添加语义Web层的框架,并描述了其对意大利国家研究委员会(CNR)intraweb提供的用例的应用。基于传统的基于Web的不同遗留数据库信息视图,我们根据OWL域本体,将数据语义移植到知识库中。我们通过文本挖掘技术丰富了知识库,以发现主题关系。已经应用了几种推理技术,以推断相关的隐式关系。最后,本体和知识库已经通过WikiFactory工具部署在语义维基上,该工具允许用户浏览本体和知识库,引入新关系,以协作方式修改错误断言,以及执行语义查询。在我们的实验中,我们通过简单地从本体编辑器或语义wiki界面制定即席查询,就能够轻松实现几个功能,例如专家查找。结果是一个智能和协作的前端,允许用户在语义基础上添加信息,填补空白或修改现有信息,同时保持知识库自动更新。
课程简介: This talk introduces a framework to add a semantic web layer to legacy organizational information, and describes its application to the use case provided by the Italian National Research Council (CNR) intraweb. Building on a traditional web-based view of information from different legacy databases, we have performed a semantic porting of data into a knowledge base, dependent on an OWL domain ontology. We have enriched the knowledge base by means of text mining techniques, in order to discover on-topic relations. Several reasoning techniques have been applied, in order to infer relevant implicit relationships. Finally, the ontology and the knowledge base have been deployed on a semantic wiki by means of theWikiFactory tool, which allows users to browse the ontology and the knowledge base, to introduce new relations, to revise wrong assertions in a collaborative way, and to perform semantic queries. In our experiments, we have been able to easily implement several functionalities, such as expert finding, by simply formulating ad-hoc queries from either an ontology editor or the semantic wiki interface. The result is an intelligent and collaborative front end, which allow users to add information, fill gaps, or revise existing information on a semantic basis, while keeping the knowledge base automatically updated.
关 键 词: 语义Web; 数据库; 文本挖掘
课程来源: 视频讲座网
最后编审: 2019-04-30:lxf
阅读次数: 57