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» A framework for semantic link discovery over relational data
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KDD
2012
ACM
242views Data Mining» more  KDD 2012»
11 years 11 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
ILP
1999
Springer
14 years 26 days ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller
SEMWEB
2009
Springer
14 years 1 months ago
Enrichment and Ranking of the YouTube Tag Space and Integration with the Linked Data Cloud
The increase of personal digital cameras with video functionality and video-enabled camera phones has increased the amount of user-generated videos on the Web. People are spending ...
Smitashree Choudhury, John G. Breslin, Alexandre P...
VLDB
2004
ACM
126views Database» more  VLDB 2004»
14 years 1 months ago
ROX: Relational Over XML
An increasing percentage of the data needed by business applications is being generated in XML format. Storing the XML in its native format will facilitate new applications that e...
Alan Halverson, Vanja Josifovski, Guy M. Lohman, H...
CORR
2008
Springer
143views Education» more  CORR 2008»
13 years 8 months ago
Join Bayes Nets: A new type of Bayes net for relational data
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the ...
Oliver Schulte, Hassan Khosravi, Flavia Moser, Mar...