开课单位--马克斯·普朗克信息学研究所
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Rule Learning from Knowledge Graphs Guided by Embedding Models[基于嵌入模型的知识图规则学习]
  Daria Stepanova(马克斯·普朗克信息学研究所) Rules over a Knowledge Graph (KG) capture interpretable patterns in data and various methods for rule learning have been proposed. Since KGs are inher...
热度：32

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OpenTag: Open Attribute Value Extraction from Product Profiles[OpenTag：从产品配置文件中打开属性值提取]
  Subhabrata Mukherjee(马克斯·普朗克信息学研究所) Extraction of missing attribute values is to find values describing an attribute of interest from a free text input. Most past related work on extract...
热度：31

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Answering Provenance-Aware Queries on RDF Data Cubes under Memory Budgets[在内存预算下回答RDF数据立方体的来源感知查询]
  Simon Razniewski(马克斯·普朗克信息学研究所) The steadily-growing popularity of semantic data on the Web and the support for aggregation queries in SPARQL 1.1 have propelled the interest in Onlin...
热度：27

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Effective Searching of RDF Knowledge Graphs[RDF知识图的有效搜索]
  Hiba Arnaout(马克斯·普朗克信息学研究所) RDF knowledge graphs are typically searched using triple-pattern queries. Often, triple-pattern queries will return too many or too few results, makin...
热度：33

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Extracting Contextualized Quantity Facts from Web Tables[从Web表中提取情境化数量事实]
  Vinh Thinh Ho(马克斯·普朗克信息学研究所) Extracting Contextualized Quantity Facts from Web Tables
热度：34

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Learning from User Feedback on Explanations to Improve Recommender Models[从用户反馈中学习解释，以改进推荐模型]
  Azin Ghazimatin(马克斯·普朗克信息学研究所) Learning from User Feedback on Explanations to Improve Recommender Models
热度：38
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