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ISCI
2008
108views more  ISCI 2008»
13 years 7 months ago
Modeling and manipulating the structure of hierarchical schemas for the web
The Semantic Web is the next step of the current Web where information will become more machine-understandable to support effective data discovery and integration. Hierarchical sc...
Theodore Dalamagas, Alexandra Meliou, Timos K. Sel...
JMLR
2008
159views more  JMLR 2008»
13 years 7 months ago
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
CAV
2007
Springer
126views Hardware» more  CAV 2007»
14 years 1 months ago
Shape Analysis for Composite Data Structures
We propose a shape analysis that adapts to some of the complex composite data structures found in industrial systems-level programs. Examples of such data structures include “cyc...
Josh Berdine, Cristiano Calcagno, Byron Cook, Dino...
ER
2004
Springer
107views Database» more  ER 2004»
14 years 29 days ago
A Scaleless Data Model for Direct and Progressive Spatial Query Processing
A progressive spatial query retrieves spatial data based on previous queries (e.g., to fetch data in a more restricted area with higher resolution). A direct query, on the other si...
Sai Sun, Sham Prasher, Xiaofang Zhou