搜索结果: 1-12 共查到“信息处理技术 Semantic”相关记录12条 . 查询时间(0.256 秒)
FrameBase: Representing N-ary Relations using Semantic Frames
FrameBase Representing N-ary Relations Semantic Frames
2016/1/22
Large-scale knowledge graphs such as those in the Linked Data cloud are typically represented as subject-predicate-object triples. However, many facts about the world involve more than two entities. W...
IMPORTANCE OF MEASURING SENTENTIAL SEMANTIC KNOWLEDGE BASE OF A 凢REE TEXT‟ MEDICAL CORPUS
healthcare industry codified data
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
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
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
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...
Exploring Statistical Properties for Semantic Annotation: Sparse Distributed and Convergent Assumptions for Keywords
Semantic Annotation Sparse Distributed Convergent Assumptions
2010/12/21
Does there exist a compact set of visual topics in form of keyword clusters capable to represent all images visual content within an acceptable error? In this paper, we answer this question by analyzi...
Towards Semantic Embedding In Visual Vocabulary
Towards Semantic Embedding Visual Vocabulary
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
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 Illustration Retrieval for Very Large Data Set
illustration retrieval feature extraction
2010/12/16
In this paper, we present a retrieval system that performs the illustration retrieval on very large data set. The traditional text-based retrieval systems often perform poorly on the illustration retr...
Latent Linkage Semantic Kernels for Collective Classification of Link Data
Kernel methods Link regularity Latent linkage semantic kernel
2010/12/16
Generally, links among objects demonstrate certain patterns and contain rich semantic clues. These important clues can be used to improve classification accuracy. However, many real-world link data ma...
Semantic Object Segmentation by a Spatio-temporal MRF Model
Semantic Object Segmentation Spatio-temporal MRF Model
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...
Correlation Learning Method Based on Image Internal Semantic Model for CBIR
Image Internal Semantic Model CBIR
2010/12/14
Semantic-based image retrieval is the desired target of Content-based image retrieval (CBIR). In this paper, we proposed a new method to extract semantic information for CBIR using the relevance feedb...