Reasoning Web. Explainable Artificial Intelligence: 15th International Summer School 2019, Bolzano, Italy, September 20-24, 2019, Tutorial Lectures
暫譯: 推理網絡：可解釋的人工智慧，第十五屆國際暑期學校 2019，義大利博爾扎諾，2019年9月20-24日，教程講座
Krotzsch, Markus, Stepanova, Daria
商品描述
This volume contains lecture notes of the 15th Reasoning Web Summer School (RW 2019), held in Bolzano, Italy, in September 2019.
The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.
商品描述(中文翻譯)
本卷包含了第十五屆推理網絡夏季學校（RW 2019）的講義，該活動於2019年9月在意大利博爾扎諾舉行。語義網、連結數據和知識圖譜等研究領域最近在學術界和業界受到了廣泛關注。自2001年成立以來，語義網旨在通過元數據和處理方法來豐富現有的網絡，以便為基於網絡的系統提供智能能力，例如上下文感知和決策支持。語義網的願景推動了許多社群的努力，這些努力投入了大量資源來開發詞彙和本體，以便對其資源進行語義註釋。除了本體之外，規則長期以來一直是語義網框架的核心部分，並作為其基本表示工具之一，邏輯則作為統一的基礎。連結數據是一個相關的研究領域，研究如何在網絡上提供RDF數據並將其與其他數據互聯，以提高其對所有人的價值。知識圖譜已被證明不僅對網絡搜索（如Google、Bing等）有用，還在許多應用領域中發揮了作用。
作者簡介
Markus Krötzsch is a full professor at the Faculty of Computer Science of TU Dresden, where he is holding the chair for Knowledge-Based Systems. He obtained his Ph.D. at Karlsruhe Institute of Technology (KIT) in 2010, and thereafter worked as a researcher and departmental lecturer at the Department of Computer Science of the University of Oxford until October 2013.
Daria Stepanova is currently a research scientist at Bosch Center for Artificial Intelligence. Prior to that she was a senior researcher heading a group in Semantic Data at Max Planck Institute for Informatics. She obtained her PhD in Computational Logic from Vienna University of Technology in 2015.
作者簡介(中文翻譯)
馬庫斯·克羅茨施（Markus Krötzsch）是德累斯頓工業大學（TU Dresden）計算機科學系的全職教授，擔任知識基礎系統的講座教授。他於2010年在卡爾斯魯厄理工學院（Karlsruhe Institute of Technology, KIT）獲得博士學位，隨後在牛津大學計算機科學系擔任研究員和系講師，直到2013年10月。
達莉亞·斯捷帕諾娃（Daria Stepanova）目前是博世人工智慧中心（Bosch Center for Artificial Intelligence）的研究科學家。在此之前，她是邁克斯·普朗克資訊學研究所（Max Planck Institute for Informatics）語義數據小組的高級研究員。她於2015年在維也納科技大學（Vienna University of Technology）獲得計算邏輯博士學位。
