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ISCI
2008
108views more  ISCI 2008»
14 years 11 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»
14 years 11 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»
14 years 11 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»
15 years 6 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»
15 years 5 months 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