开课单位--曼海姆大学
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Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods[知识图精化：方法和评价方法综述]
  Heiko Paulheim(曼海姆大学) In the recent years, different web knowledge graphs, both free and commercial, have been created. While Google coined the term “Knowledge Graph&...
热度：18

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Is the Semantic Web what we expected? Adoption Patterns and Content-driven Challenges[语义网是我们所期望的吗？采用模式和内容驱动的挑战]
  Christian Bizer(曼海姆大学) Semantic Web technologies, such as Linked Data and Schema.org, are used by a significant number of websites to support the automated processing of the...
热度：9

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Fine-grained Evaluation of Rule- and Embedding-based Systems for Knowledge Graph Completion[基于规则和嵌入的知识图完成系统的细粒度评估]
  Manuel Fink(曼海姆大学) Over the recent years embeddings have attracted increasing research focus as a means for knowledge graph completion. Similarly, rule-based systems hav...
热度：23

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Mining the Web of Linked Data with RapidMiner[用RapidMiner挖掘链接数据的Web]
  Heiko Paulheim(曼海姆大学) Lots of data from different domains is published as Linked Open Data. While there are quite a few browsers for that data, as well as intelligent tools...
热度：26

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Uncovering the Semantics of Wikipedia Categories[揭示维基百科类别的语义]
  Nicolas Heist(曼海姆大学) Uncovering the Semantics of Wikipedia Categories
热度：39

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Detecting Errors in Numerical Linked Data using Cross-Checked Outlier Detection[用交叉检验离群点检测法检测数值链接数据中的错误]
   Daniel Fleischhacker(曼海姆大学) Outlier detection used for identifying wrong values in data is typically applied to single datasets to search them for values of unexpected behavior. ...
热度：36

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Generating Possible Interpretations for Statistics from Linked Open Data[从链接的开放数据生成可能的统计解释]
  Heiko Paulheim(曼海姆大学) Statistics are very present in our daily lives. Every day, new statistics are published, showing the perceived quality of living in different cities, ...
热度：31

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Findings from the Hackathon on Understanding Euroscepticism Through the Lens of Textual Data[从文本数据的角度理解欧洲怀疑论的黑客竞赛发现]
  Federico Nanni(曼海姆大学) We present an overview and the results of a shared-task hackathon that took place as part of a research seminar bringing together a variety of experts...
热度：43

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Unsupervised Bootstrapping of Active Learning for Entity Resolution[主动学习的无监督自举以解决实体问题]
  Anna Primpeli(曼海姆大学) In this tutorial I will discuss how reinforcement learning (RL) can be combined with deep learning (DL). There are several ways to combine DL and RL t...
热度：33

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Global Data Integration and Global Data Mining[全球数据集成和全球数据挖掘]
  Christian Bizer(曼海姆大学) Categories Top » Computer Science » Data Mining  
热度：34
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