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» A Review of Relational Machine Learning for Knowledge Graphs
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SOCIALCOM
2010
13 years 8 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
ISOLA
2010
Springer
13 years 9 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
ICALT
2006
IEEE
14 years 4 months ago
A Shortest Learning Path Selection Algorithm in E-learning
Generally speaking, in the e-learning systems, a course is modeled as a graph, where each node represents a knowledge node (KU) and two nodes are connected to form a semantic netw...
Chengling Zhao, Liyong Wan
HICSS
2003
IEEE
95views Biometrics» more  HICSS 2003»
14 years 4 months ago
Knowledge Negotiation in Asynchronous Learning Networks
The negotiation of what is to count as mutually acceptable collaborative knowledge is difficult to conduct when participants cannot interact face-to-face. We review certain relate...
Gerry Stahl
ICML
2009
IEEE
14 years 5 months ago
A novel lexicalized HMM-based learning framework for web opinion mining
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. As e-commerce is becoming more an...
Wei Jin, Hung Hay Ho