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Displaying 1-34 out of 34 total
Yotta: A Knowledge Map Centric E-Learning System
Found in: E-Business Engineering, IEEE International Conference on
By Qinghua Zheng, Yanan Qian, Jun Liu
Issue Date:November 2010
pp. 42-49
Current e-learning systems are primarily resource oriented, rather than cognition oriented. To reduce learners’ cognitive overload in e-learning, we proposed a novel e-learning system Yotta tackling the problem of knowledge acquisition, knowledge presentat...
 
A collaborative knowledge construction system design for massive knowledge resources
Found in: International Conference on Computer Supported Cooperative Work in Design
By Qinghua Zheng, Zhaohui Wu, Lu Jiang, Jun Liu
Issue Date:April 2009
pp. 137-142
Aiming at deficiencies of existing knowledge resources management systems, we designed a new collaborative knowledge construction system for massive knowledge resources. By collaborative knowledge building in the following three phases: acquisition of know...
 
Real-Time Collaborative Filtering Using Extreme Learning Machine
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Wanyu Deng, Qinghua Zheng, Lin Chen
Issue Date:September 2009
pp. 466-473
Because of long-consuming training or similarity computing, most traditional collaborative filtering algorithms are off-line methods and can’t be applied in collaborative-filtering services that have accumulated large amounts of data and need to compute pr...
 
A Large Scale Distance Learning System for IPv6/IPv4 Hybrid Environment
Found in: Computer Science and Software Engineering, International Conference on
By Zhiwen Wang, Jie Zhang, Yanze Lian, Qinghua Zheng
Issue Date:December 2008
pp. 532-535
A Large-scale distance learning system named IPv6-Class for IPv4/IPv6 hybrid environment is modeled in this paper. IPv6-Class can work not only in IPv4 or IPv6 networks, but also in the IPv4/IPv6 hybrid networks. Key issues of IPv6-Class, MCU served as the...
 
A large scale interactive live teaching system over satellite and ground IP network
Found in: International Conference on Computer Supported Cooperative Work in Design
By Qinghua Zheng, Jiang Guo
Issue Date:May 2005
pp. 1013-1017 Vol. 2
Live teaching is one of two basic e-learning modes. In this paper, a novel interactive live teaching system named SkyClass based on the hybrid platform of satellite and ground IP network is modeled, SkyClass uses receive-only satellite links for live lectu...
 
Sentiment Classification in Turn-Level Interactive Chinese Texts of E-learning Applications
Found in: 2012 IEEE 12th International Conference on Advanced Learning Technologies (ICALT)
By Feng Tian,Huijun Liang,Longzhuang Li,Qinghua Zheng
Issue Date:July 2012
pp. 480-484
To solve the problem of emotional illiteracy in current e-Learning environment, researches on sentiment analysis now get more attentions. This paper focuses on recognizing emotion from interactive Chinese texts (ICTs). Through observation, firstly, charact...
 
A subscription overlay network for large-scale and cost-efficient any source multicast
Found in: IEEE International Performance Computing and Communications Conference
By Patricio Galdames,Qinghua Zheng,Ying Cai
Issue Date:November 2011
pp. 1-8
This paper presents a subscription-based overlay network that supports efficient any-source multicast. The system lets users register to a central server and allows the server to incrementally build a topology graph that contains the network connections am...
 
Visualizing e-Learner Emotion, Topic, and Group Structure in Chinese Interactive Texts
Found in: Advanced Learning Technologies, IEEE International Conference on
By Feng Tian,Huisan Zhang,Longzhuang Li,Qinghua Zheng,Yang Yang
Issue Date:July 2011
pp. 587-589
To help teachers know class/group members better in the case of large scale on-line textual interaction, this paper tried to display e-Learner's emotion combined with topics and group structure. For achieving this goal, a color palette of emotions based on...
 
A Trust-Personality Mechanism for Emotion Compensation
Found in: Advanced Learning Technologies, IEEE International Conference on
By Jiwei Qin,Qinghua Zheng,Feng Tian
Issue Date:July 2011
pp. 88-92
E-learning provides an unprecedented flexibility and convenience for learners via breaking the limitation of space-time. Most researchers are only concerned about the learner's cognitive and construct a great amount of substantive digital learning resource...
 
Correlation Based File Prefetching Approach for Hadoop
Found in: Cloud Computing Technology and Science, IEEE International Conference on
By Bo Dong, Xiao Zhong, Qinghua Zheng, Lirong Jian, Jian Liu, Jie Qiu, Ying Li
Issue Date:December 2010
pp. 41-48
Hadoop Distributed File System (HDFS) has been widely adopted to support Internet applications because of its reliable, scalable and low-cost storage capability. Blue Sky, one of the most popular e-Learning resource sharing systems in China, is utilizing H...
 
Ranking Difficulty of Knowledge Units Based on Learning Dependency
Found in: E-Business Engineering, IEEE International Conference on
By Jun Liu, Sha Sha, Qinghua Zheng, Ling Chen
Issue Date:November 2010
pp. 77-82
Using knowledge maps to compute and rank the difficulty level of knowledge units can guide learners plan their learning activities more effectively. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty of know...
 
A Novel Approach to Improving the Efficiency of Storing and Accessing Small Files on Hadoop: A Case Study by PowerPoint Files
Found in: Services Computing, IEEE International Conference on
By Bo Dong, Jie Qiu, Qinghua Zheng, Xiao Zhong, Jingwei Li, Ying Li
Issue Date:July 2010
pp. 65-72
Hadoop distributed file system (HDFS) becomes a representative cloud storage platform, benefiting from its reliable, scalable and low-cost storage capability. HDFS has been utilized in BlueSky, one of the most prevalent e-Learning resource sharing systems ...
 
Learning Deep Web Crawling with Diverse Features
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu
Issue Date:September 2009
pp. 572-575
The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based on keywords’ statistic information deriving from TF and DF in local acquired re...
 
Preference Learning to Rank with Sparse Bayesian
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Xiao Chang, Qinghua Zheng
Issue Date:September 2009
pp. 143-146
In this paper, we propose a sparse Bayesian approach to learn ranking function from labeled data. The ranking function can be used to define an ordering among documents according to their degree of relevance to the user query. This ranking function is more...
 
DiffStream: A Multi-channel Multimedia Content Dissemination Strategy Using MDC
Found in: Grid and Cloud Computing, International Conference on
By Shan Jiang, Qinghua Zheng, Wei Chen, Ting Peng
Issue Date:August 2009
pp. 9-15
Recently multi-channel multimedia broadcast systems on P2P network have emerged in applications such as long-distance education and multimedia broadcast television. With the conflict between huge amounts of streaming data and limited available bandwidth ov...
 
Jampots: A Mashup System towards an E-learning Ecosystem
Found in: Networked Computing and Advanced Information Management, International Conference on
By Bo Dong, Qinghua Zheng, Lingzhi Xu, Haifei Li, Jie Yang, Mu Qiao
Issue Date:August 2009
pp. 200-205
Although E-Learning has grown into a revolutionary way of learning and is currently widely accepted, it still faces many problems, especially in its implementations. The research community has believed that an E-Learning ecosystem is the next generation E-...
 
An E-learning Ecosystem Based on Cloud Computing Infrastructure
Found in: Advanced Learning Technologies, IEEE International Conference on
By Bo Dong, Qinghua Zheng, Jie Yang, Haifei Li, Mu Qiao
Issue Date:July 2009
pp. 125-127
Recently the research community has believed that an e-learning ecosystem is the next generation e-learning. However, the current models of e-learning ecosystems lack the support of underlying infrastructures, which can dynamically allocate the required co...
 
ETM Toolkit: A development tool based on Extended Topic Map
Found in: International Conference on Computer Supported Cooperative Work in Design
By Lu Jiang, Jun Liu, Zhaohui Wu, Qinghua Zheng, Ya-nan Qian
Issue Date:April 2009
pp. 528-533
By research on Topic Map standard, the Extended Topic Map (ETM) is proposed as a novel model for organization and management of the massive knowledge resources in E-learning. Based on the model, an Extended Topic Map Toolkit is designed and implemented, wh...
 
Can e-Learner's emotion be recognized from interactive Chinese texts?
Found in: International Conference on Computer Supported Cooperative Work in Design
By Feng Tian, Qinghua Zheng, Ruomeng Zhao, Tonghao Chen, Xinyan Jia
Issue Date:April 2009
pp. 546-551
Aiming at Emotional Illiteracy in current e-Learning environment, this paper discussed the reason why this situation happens. A research and application framework of recognizing emotion based text interaction is presented. An emotion category model for e-L...
 
Distributed Knowledge Management Based on Extended Topic Maps
Found in: Computer Science and Software Engineering, International Conference on
By Huimin Lu, Boqin Feng, Yingliang Zhao, Qinghua Zheng, Jun Liu
Issue Date:December 2008
pp. 649-652
The conventional topic map is extended on the structure of logic organization. The association of topic - knowledge element - occurrence and the relevance between the topics and between the knowledge elements are established. Distributed knowledge manageme...
 
An Active-Drop Congestion Control Protocol in Peer-to-Peer Multicast Streaming
Found in: Grid and Cloud Computing, International Conference on
By Weizhan Zhang, Qinghua Zheng, Yanze Lian, Yiqin Yu
Issue Date:October 2008
pp. 398-402
In this paper, an active-drop congestion control protocol for peer-to-peer multicast based on a layered video codec is presented, which is tailored toward support of live media delivery on peer-to-peer overlay. Especially, the protocol fully utilizes the c...
 
A New Model for Distributed Knowledge Organization Management
Found in: Grid and Cloud Computing, International Conference on
By Huimin Lu, Boqin Feng, Yingliang Zhao, Qinghua Zheng, Jun Liu
Issue Date:October 2008
pp. 261-265
The conventional model for knowledge organization management is based on resource; index and metadata catalog. It is difficult to express the concept of knowledge resource, the information contained in knowledge elements and the inner relevance of informat...
 
How to avoid herd: a novel stochastic algorithm in grid scheduling
Found in: High-Performance Distributed Computing, International Symposium on
By Qinghua Zheng, Haijun Yang, Yuzhong Sun
Issue Date:June 2006
pp. 267-278
Grid technologies promise to bring the grid users high performance. Consequently, scheduling is being becoming a crucial problem. Herd behavior is a common phenomenon, which causes the severe performance decrease in grid environment with respect to bad sch...
 
Modeling and PerformanceAnalysis of the VEGA Grid System
Found in: e-Science and Grid Computing, International Conference on
By Haijun Yang, Zhiwei Xu, Yuzhong Sun, Qinghua Zheng
Issue Date:December 2005
pp. 296-303
In this paper, we propose four general queueing models based on input and server distributions, to analyze a special Grid system, VEGA grid system version 1.1 (VEGA1.1). The mean queue lengths and mean waiting times of these models are deduced. The two cla...
 
Self-Organizing Communication-aware Resource Management for Scheduling in Grid Environment
Found in: High Performance Computing and Grid in Asia Pacific Region, International Conference on
By Qinghua Zheng, Haijun Yang, Yuzhong Sun
Issue Date:December 2005
pp. 346-353
<p>Rapid advances in network and computer technologies are making networked computers, organized in the form of Grid, an appealing vehicle for cost-effective parallel computing. But how to handle efficiently the communications in scheduling is still ...
 
Automatic extraction of titles from general documents using machine learning
Found in: Digital Libraries, Joint Conference on
By Dmitriy Meyerzon, Yunbo Cao, Hang Li, Qinghua Zheng, Yunhua Hu
Issue Date:June 2005
pp. 145-154
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of specific genres, including presentations, book chapters, technical papers, b...
 
A Resource Reservation and Scheduling Algorithm for Learning On-Demand System over Satellite and Cable Network
Found in: Microelectronics Systems Education, IEEE International Conference on/Multimedia Software Engineering, International Symposium on
By Qinghua Zheng, Yongling Song, Jun Liu, Dehong Yu
Issue Date:December 2002
pp. 166
The modern Distance Learning System over Satellite and Ground Wired Network provide a multimedia study environment and unlimited learning opportunities to every one. Learning on demand has already become an efficient and popular learning mode. So far, many...
 
Motif-based Hyponym Relation Extraction from Wikipedia Hyperlinks
Found in: IEEE Transactions on Knowledge and Data Engineering
By Bifan Wei,Jun Liu,Jian Ma,Qinghua Zheng,Wei Zhang,Boqin Feng
Issue Date:February 2014
pp. 1
Discovering hyponym relations among domain-specific terms is a fundamental task in taxonomy learning. However, the great diversity of various domain corpora and the lack of labeled training sets make this task very challenging for conventional methods that...
 
Dynamic query intent mining from a search log stream
Found in: Proceedings of the 22nd ACM international conference on Conference on information & knowledge management (CIKM '13)
By Cong Li, Junting Ye, Qinghua Zheng, Tetsuya Sakai, Yanan Qian
Issue Date:October 2013
pp. 1205-1208
It has long been recognized that search queries are often broad and ambiguous. Even when submitting the same query, different users may have different search intents. Moreover, the intents are dynamically evolving. Some intents are constantly popular with ...
     
A hybrid approach for privacy-preserving processing of knn queries in mobile database systems
Found in: Proceedings of the 22nd ACM international conference on Conference on information & knowledge management (CIKM '13)
By Ying Cai, Qinghua Zheng, Shixin Tian
Issue Date:October 2013
pp. 1161-1164
In mobile object database systems, both query issuers and queried objects are subject to location privacy intrusion. One solution to this problem is to have users reduce their location resolution when making location update. Such location cloaking allows m...
     
Mining query subtopics from search log data
Found in: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval (SIGIR '12)
By Daxin Jiang, Hang Li, Jian Pei, Qinghua Zheng, Yanan Qian, Yunhua Hu
Issue Date:August 2012
pp. 305-314
Most queries in web search are ambiguous and multifaceted. Identifying the major senses and facets of queries from search log data, referred to as query subtopic mining in this paper, is a very important issue in web search. Through search log analysis, we...
     
Combining machine learning and human judgment in author disambiguation
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Jianling Cui, Qinghua Zheng, Yanan Qian, Yunhua Hu, Zaiqing Nie
Issue Date:October 2011
pp. 1241-1246
Author disambiguation in digital libraries becomes increasingly difficult as the number of publications and consequently the number of ambiguous author names keep growing. The fully automatic author disambiguation approach could not give satisfactory resul...
     
Automatic extraction of titles from general documents using machine learning
Found in: Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries (JCDL '05)
By Dmitriy Meyerzon, Hang Li, Qinghua Zheng, Yunbo Cao, Yunhua Hu
Issue Date:June 2005
pp. 145-154
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of specific genres, including presentations, book chapters, technical papers, b...
     
An approach to acquire semantic relationships between terms
Found in: Proceedings of the 2005 ACM symposium on Applied computing (SAC '05)
By Qinghua Zheng, Xia Sun
Issue Date:March 2005
pp. 1630-1633
This paper focuses on the automatic acquisition of semantic relationships from Chinese corpus, motivated by improving the performances of our QA systems named NL-WAS. Linguistic patterns designed for Chinese sentences are applied to a collection of texts t...
     
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