Sciweavers

66 search results - page 4 / 14
» Learning to Explain Entity Relationships in Knowledge Graphs
Sort
View
ICDE
2008
IEEE
425views Database» more  ICDE 2008»
16 years 11 months ago
NAGA: Searching and Ranking Knowledge
The Web has the potential to become the world’s largest knowledge base. In order to unleash this potential, the wealth of information available on the Web needs to be extracte...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
EMNLP
2008
15 years 19 days ago
Learning Graph Walk Based Similarity Measures for Parsed Text
We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
Einat Minkov, William W. Cohen
CIKM
2010
Springer
14 years 9 months ago
MENTA: inducing multilingual taxonomies from wikipedia
In recent years, a number of projects have turned to Wikipedia to establish large-scale taxonomies that describe orders of magnitude more entities than traditional manually built ...
Gerard de Melo, Gerhard Weikum
EDBT
2011
ACM
254views Database» more  EDBT 2011»
14 years 2 months ago
SocialSearch: enhancing entity search with social network matching
This paper introduces the problem of matching people names to their corresponding social network identities such as their Twitter accounts. Existing tools for this purpose build u...
Gae-won You, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
ICALT
2006
IEEE
15 years 5 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