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» Inferring Knowledge from a Large Semantic Network
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ICASSP
2009
IEEE
14 years 9 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori
NSDI
2008
15 years 2 months ago
Effective Diagnosis of Routing Disruptions from End Systems
Internet routing events are known to introduce severe disruption to applications. So far effective diagnosis of routing events has relied on proprietary ISP data feeds, resulting ...
Ying Zhang, Zhuoqing Morley Mao, Ming Zhang
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 6 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
MEDINFO
2007
116views Healthcare» more  MEDINFO 2007»
15 years 1 months ago
Knowledge-Level Querying of Temporal Patterns in Clinical Research Systems
Managing time-stamped data is essential to clinical research activities and often requires the use of considerable domain knowledge, which is difficult to support within database ...
Martin J. O'Connor, Ravi D. Shankar, David B. Parr...
LEC
2002
IEEE
178views Languages» more  LEC 2002»
15 years 4 months ago
Building Large Scale Ontology Networks
Adoptable, high performing, large scale ontologies that can be extended to support multi-media play a crucial role in building effective content and knowledge management systems a...
Vasudeva Varma