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IMPORTANCE OF MEASURING SENTENTIAL SEMANTIC KNOWLEDGE BASE OF A 凢REE TEXT‟ MEDICAL CORPUS
healthcare industry codified data
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2015/5/27
At present, the healthcare industry uses codified data mainly for billing purpose. Codified data could be used to improve patient care through decision support and analytical systems. However to reduc...
Semantic Service Integration & Metropolitan Medical Network
Semantic Service Integration Medical Network
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2015/5/27
Patel, Nikeshbhai. M.S., Purdue University, August, 2005. Semantic Service Integration & Metropolitan Medical Network. Major Professor: Dr. Chung-Kuo Chang. Medical health partners use heterogeneous d...
Supporting spatial data harmonization process with the use of ontologies and Semantic Web technologies
Semantic interoperability spatial data harmonization Open Data Semantic
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2014/4/22
Nowadays, spatial information is not only used by professionals, but also by common citizens, who uses it for their daily activities. Open Data initiative states that data should be freely and unreser...
SEMANTIC WORLD MODELLING AND DATA MANAGEMENT IN A 4D FOREST SIMULATION AND INFORMATION SYSTEM
Forestry LIDAR Databases GIS Automation Inventory Modelling, Simulation
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2014/4/21
Various types of 3D simulation applications benefit from realistic forest models. They range from flight simulators for entertainment
to harvester simulators for training and tree growth simulations...
Towards Semantic Embedding In Visual Vocabulary
Towards Semantic Embedding Visual Vocabulary
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2010/12/21
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches build visual vocabu...
Semantic scoring based on Small-World Phenomenon for feature selection in text mining
Semantic scoring Small-World Phenomenon feature selection in text mining
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2010/12/16
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our focus is on the reserva...
Semantic Object Segmentation by a Spatio-temporal MRF Model
Semantic Object Segmentation Spatio-temporal MRF Model
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2010/12/14
In this paper, a region-based spatio-temporal Markov random field (STMRF) model is proposed to segment
moving objects semantically. The STMRF model combines segmentation results of four successive fr...