开课单位--科布伦茨 - 兰道大学
1 1/1

1
Labelling Image Regions Using Wavelet Features and Spatial Prototypes[利用小波特征和空间原型标记图像区域]
  Carsten Saathoff(科布伦茨 - 兰道大学) In this paper we present an approach for image region classification that combines low-level processing with high-level scene understanding. For the l...
热度：49

2
SPLODGE: Systematic Generation of SPARQL Benchmark Queries for Linked Open Data[SPLODGE：系统生成链接开放数据的SPARQL基准查询]
  Olaf Görlitz(科布伦茨 - 兰道大学) The distributed and heterogeneous nature of Linked Open Data requires flexible and federated techniques for query evaluation. In order to evaluate cur...
热度：47

3
SchemEX -- Web-Scale Indexed Schema Extraction of Linked Open Data[SchemEX - 链接开放数据的Web规模索引模式提取]
  Ansgar Scherp(科布伦茨 - 兰道大学) We present SchemEX, an approach and tool for web-scale, real-time indexing and schema extraction of Linked Open Data (LOD) at linear runtime complexit...
热度：62

4
Learning Spectral Graph Transformations for Link Prediction[用于链接预测的学习谱图变换]
  Jérôme Kunegis(科布伦茨 - 兰道大学) We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a ...
热度：82

5
Locking for Concurrent Transactions on Ontologies[锁定本体上的并发事务]
  Stefan Scheglmann(科布伦茨 - 兰道大学) Collaborative editing on large-scale ontologies imposes serious demands on concurrent modifi cations and con ict resolution. In order to enable robust...
热度：40

6
A Systematic Investigation of Explicit and Implicit Schema Information on the Linked Open Data Cloud[关于链接开放数据云的显式和隐式模式信息的系统研究]
  Olaf Hartig, Thomas Gottron(科布伦茨 - 兰道大学) Schema information about resources in the Linked Open Data (LOD) cloud can be provided in a twofold way: it can be explicitly defined by attaching RDF...
热度：29
1 1/1