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语义网方法,工具和应用程序

Semantic Web Methods, Tools and Applications
课程网址: http://videolectures.net/rease_vrandecic_swmta/  
主讲教师: Denny Vrandečić; Peter Haase
开课单位: 卡尔斯鲁厄理工学院
开课时间: 2011-11-09
课程语种: 英语
中文简介:
这是一个一小时的视频记录的教程和实践中的彼得哈斯和丹尼温兰迪克在第一个亚洲秋季学校的语义网络。它包括两个与幻灯片同步的视频(需要闪存)或单独的视频。目录:语义Web方法、工具和应用程序简介议程信息搜索示例语义技术为EII生命周期活动和工具本体开发提供动态集成解决方案,支持Protege owl本体开发和Neon工具包本体开发工具本体映射?问题和范围本体映射?技术和工具本体映射与本体映射本体学习文本2到本体学习工具本体学习-结论本体评估本体演化本体演化(过程)本体管理基础设施本体库标准推理任务推理者概述什么是neon工具包?neon架构支持整个本体生命周期应用场景(bt数字库)为什么基于本体的数字库?概念架构本体模型与知识库知识门户场景重温英国电信数字图书馆项目光环形式化问题背景知识评估结果浏览器ontoworld.org语义网站wiki社区为什么要关心?piggybank scrape data探索你的数据出现定义一个区域(空间对象)给它分配一个类型统一的表示:空间对象有上下文相关的供给(动作),特征(属性)在这里检索一个区域中的庇护所所有GMAP特征都可用,检索到的空间对象可以是字段(例如化学云在斯坦斯特机场),可以集成任何基于XML的WS,这里是雪级(灰色)和即时消息存在(绿色/黄色)应用程序?结论本体和语义技术本体工程本体学习、映射应用实践环节:实践练习:语义Web方法、工具和应用所需软件(光盘上)我们将做什么语义媒体wiki aasswwiki编辑wiki快速概述wiki标记概述语义标记数据价值s和types添加您自己的信息协作本体工程社会方面查询知识查询示例查询和社会方面导出数据我们将做什么neon工具包:创建新本体工程导入本体作为owl文件浏览本体创建和执行查询从语义媒体导入数据wiki创建mappi本体之间的ngs查询集成数据我们将如何开始使用protege owl reasoner:kaon2挖掘接口启动kaon2服务器模式连接到kaon2推理任务kaon2演示器sparql sparql在protege中连接查询的语法:用kaon2中的规则创建swrl规则查询本体
课程简介: This is a one-hour video recording of the tutorial and hands-on session of Peter Haase and Danny Vrandecic at the First Asian Autumn School on the Semantic Web. It comprises two videos synchronized with the slides (requires Flash) or the videos alone. Table of Contents: Semantic Web Methods, Tools and Applications Introduction Agenda Information Search Example Semantic Technologies Provide Dynamic Integration Solutions to EII Lifecycle Activities and Tools Ontology Development with Protege OWL Ontology Development with the NeOn Toolkit Ontology Development Tools Ontology Mapping ? Problem and Scope Ontology Mapping ? Techniques and Tools Ontology Mapping with OntoMap Ontology Learning Text2Onto Ontology Learning Tools Ontology Learning - Conclusions Ontology Evaluation Ontology Evolution Ontology Evolution (Process) Ontology Management Infrastructure Ontology Repositories Standard Reasoning Tasks Overview of Reasoners What is the NeOn Toolkit? NeOn Architecture to Support the Entire Ontology Lifecycle Applications Scenario (BT Digital Library) Why Ontology-Based Digital Libraries? Conceptual Architecture Ontology Model and Knowledge Base Knowledge Portal Scenario Revisited The BT Digital Library Project Halo Formalizing questions Background knowledge Evaluation Result browser ontoworld.org The Semantic Web wiki Why should the community care? Piggybank Scrape data Explore your data eMerges Define a region (spatial object) Assign a type to it Uniform representation: Spatial Object have context-dependent affordances (actions), and features (properties) Here retrieves the shelters in an area All GMaps features are available and retrieved spatial objects can be fields (e.g. chemical cloud over Stansted airport) Any xml based WS can be integrated, here snow level (grey), and Instant Messaging presence (green/yellow) Applications ? Conclusion Ontologies and Semantic Technologies Ontology Engineering Ontology Learning, Mapping Applications Hands-on session: Hands on exercises: Semantic Web Methods, Tools and Applications Required Software (on CD) What we will do Semantic MediaWiki AASSWWiki Editing the wiki Quick overview of wiki markup Overview of semantic markup Data values and types Add your own information Collaborative ontology engineering Social aspects Querying the knowledge Query examples Querying and social aspects Exporting the data What we will do NeOn Toolkit: Create new Ontology Project Import Ontology as OWL File Browse Ontology Create and Execute a Query Import Data from Semantic MediaWiki Create Mappings between Ontologies Query the Integrated Data What we will do Getting started with Protege OWL Reasoner: KAON2 The DIG interface Start KAON2 Server mode Connecting to KAON2 Reasoning Tasks KAON2 Demonstrator SPARQL SPARQL Syntax for Conjunctive Queries Back in Protege: Create SWRL Rules Query ontology with rules in KAON2
关 键 词: 语义网络; 本体模型; 信息协作
课程来源: 视频讲座网
最后编审: 2019-11-28:lxf
阅读次数: 32