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context-aware Semantic Type Identification for Relational Attributes

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Journal of Computer Science & Technology 2023年第4期38卷 927-946页

作者：丁玥郭雨荷卢卫李海翔张美慧李晖潘安群杜小勇 Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education Renmin University of China Beijing 100872China School of Information Renmin University of ChinaBeijing 100872China Tencent(Beijing)Technology Company Limited Beijing 100080China School of Computer Science and Technology Beijing Institute of TechnologyBeijing 100081China College of Computer Science and Technology Guizhou UniversityGuiyang 550025China Tencent(Shenzhen)Technology Company Limited Shenzhen 518057China

Identifying semantic types for attributes in relations,known as attribute semantic type(AST)identification,plays an important role in many data analysis tasks,such as data cleaning,schema matching,and keyword search in ***,due to a lack of unified naming standards across prevalent information systems(*** islands),AST identification still remains as an open *** tackle this problem,we propose a context-aware method to figure out the ASTs for relations in this *** transform the AST identification into a multi-class classification problem and propose a schema context aware(SCA)model to learn the representation from a collection of relations associated with attribute values and schema *** on the learned representation,we predict the AST for a given attribute from an underlying relation,wherein the predicted AST is mapped to one of the labeled *** improve the performance for AST identification,especially for the case that the predicted semantic types of attributes are not included in the labeled ASTs,we then introduce knowledge base embeddings(***)to enhance the above representation and construct a schema context aware model with knowledge base enhanced(SCA-KB)to get a stable and robust *** experiments based on real datasets demonstrate that our context-aware method outperforms the state-of-the-art approaches by a large margin,up to 6.14%and 25.17%in terms of macro average F1 score,and up to 0.28%and 9.56%in terms of weighted F1 score over high-quality and low-quality datasets respectively.

关键词： attribute semantic type(AST)identification context-aware semantic embedding knowledge base embedding

context-aware Social Media User Sentiment Analysis

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Tsinghua Science and Technology 2020年第4期25卷 528-541页

作者： Bo Liu Shijiao Tang Xiangguo Sun Qiaoyun Chen Jiuxin Cao Junzhou Luo Shanshan Zhao the School of Computer Science and Engineering Southeast UniversityNanjing 211189China the Key Laboratory of Computer Network and Information of Ministry of Education of China Nanjing 211189China Microsoft Research Asia Suzhou 215000China the School of Cyber Science and Engineering Southeast UniversityNanjing 211189China the Department of Computer Science and Creative Technologies University of the West of EnglandBristolBS161QYUK

The user-generated social media messages usually contain considerable multimodal *** messages are usually short and lack explicit sentiment ***,we can understand the sentiment associated with such messages by analyzing the context,which is essential to improve the sentiment analysis ***,majority of the existing studies consider the impact of contextual information based on a single data *** this study,we propose a novel model for performing context-aware user sentiment *** model involves the semantic correlation of different modalities and the effects of tweet context *** on our experimental results obtained using the Twitter dataset,our approach is observed to outperform the other existing methods in analysing user sentiment.

关键词： social media sentiment analysis multimodal data context-aware topic model

context-aware location discovery exchange in a ubiquitous environment

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The Journal of China Universities of Posts and Telecommunications 2012年第6期19卷 73-78页

作者： LIU Qi GAO Feng Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology School of Information Science and Technology Shijiazhuang Tiedao University

It becomes challenging in order to represent, discover and exchange location information in a ubiquitous environment due to dynamic movement and interaction between mobile nodes inside. In this paper, a new method is presented in order to make location information context-aware so that organizing the format of location information and maintaining the communication between direct connected nodes in a ubiquitous environment is enabled. The structure of a contextual location information repository and a context information communication protocol is manipulated to implement the proposed features. According to the simulation results in network simulator version2 （NS2）, the new method has depicted good discovery success ~nd consumed efficient service discovery bandwidth. Other network traffic, i.e. transmission control protocol, （TCP） has been simulated in the scenarios but the new location-aware method has shown its robustness with continuous context discovery process.

关键词： context-aware ubiquitous computing location-aware service discovery

context-aware Augmented Reality Using Human-Computer Interaction Models

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Journal of Control and Decision 2024年第1期11卷 1-14页

作者： Ying Sun Qiongqiong Guo Shumei Zhao Karthik Chandran G.Fathima Henan intelligent education and intelligent technology application engineering technology research center Zhengzhou Railway Vocational and technical collegeZhengzhouHenanPeople’s Republic of China Henan Provincial Research Center of Wisdom Education and Intelligent Technology Application Engineering Technology Zhengzhou Railway Vocational and technical collegeZhengzhouHenanPeople’s Republic of China Department of Mechatronics Engineering Jyothi Engineering CollegeKeralaIndia CSE Adhiyamaan College of Engineering HosurTamilnaduIndia

Augmented Reality is a technique that allows users to overlap digital information with their physical *** Augmented Reality(AR)displays have an exceptional characteristic from the Human–Computer Interaction(HCI)*** to its increasing popularity and application in diverse domains,increasing user-friendliness and AR usage are ***-aware is one approach since an AR application can adapt to the user,environment,needs and enhance ergonomic principles and *** paper proposes the Intelligent contextaware Augmented Reality Model(ICAARM)for Human–Computer Interaction *** study explores and reduces interaction uncertainty by semantically modeling user-specific interaction with context,allowing personalised *** information is captured from an AR device to understand user interactions and *** depictions carry semantics to Augmented Reality applications about the user’s intention to interact with a specific device ***,this study describes personalised gesture interaction in VR/AR applications for immersive/intelligent environments.

关键词： Augmented Reality context-aware Human–Computer Interaction

context-aware Animation Data Description and Interaction Method Based on Sketch

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Journal of Beijing Institute of Technology 2019年第1期28卷 8-16页

作者： Fang Liu Zhaoxu Sun Cuixia Ma Hongan Wang Institute of Software Chinese Academy of Sciences

In this paper,an interactive method is proposed to describe computer animation data and accelerate the process of animation ***,a semantic model and a resource description framework(RDF)are utilized to analyze and describe the relationships between animation ***,a novel context model which is able to keep the context-awareness was proposed to facilitate data organization and *** our context model,all the main animation elements in a scene are operated as a *** sketch is utilized as the main interactive method to describe the relationships between animation data,edit the context model and make some other user ***,a context-aware computer animation data description system based on sketch is generated and it also works well in animation generation process.

关键词： animation data description sketch interactive animation context-aware

FCT: a fully-distributed context-aware trust model for location based service recommendation

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Science China(Information Sciences) 2017年第8期60卷 101-116页

作者： Zhiquan LIU Jianfeng MA Zhongyuan JIANG Yinbin MIAO School of Computer Science and Technology Xidian University School of Cyber Engineering Xidian University

With the popularity of location based service(LBS), a vast number of trust models for LBS recommendation(LBSR) have been proposed. These trust models are centralized in essence, and the trusted third party may collude with malicious service providers or cause the single-point failure problem. This work improves the classic certified reputation(CR) model and proposes a novel fully-distributed context-aware trust(FCT)model for LBSR. Recommendation operations are conducted by service providers directly and the trusted third party is no longer required in our FCT model. Besides, our FCT model also supports the movements of service providers due to its self-certified characteristic. Moreover, for easing the collusion attack and value imbalance attack, we comprehensively consider four kinds of factor weights, namely number, time decay, preference and context weights. Finally, a fully-distributed service recommendation scenario is deployed, and comprehensive experiments and analysis are conducted. The results indicate that our FCT model significantly outperforms the CR model in terms of the robustness against the collusion attack and value imbalance attack, as well as the service recommendation performance in improving the successful trading rates of honest service providers and reducing the risks of trading with malicious service providers.

关键词： trust model fully-distributed context-aware location based service service recommendation

context-aware Using Carrier Phase for Adaptive MEMS IMU / GNSS Filtering in Deep Urban Navigation

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Journal of Harbin Institute of Technology(New Series) 2013年第2期20卷 45-49页

作者： Hua Liu Tong Liu Hang Guo School of Automation Beijing Institute of Technology Academy of Space Technology Nanchang University

context-aware is becoming standard on the most mobile navigation devices. The performance of MEMS IMU/GNSS gains significant benefits from context information in terms of improvement of filter＇ s adaptive capability. A context-aware algorithm using differential carrier phase was proposed to recognize a molile MEMS IMU/GNSS equipped vehicle＇ s stationary, slow moving or fast moving status. The corresponding context error in awarding was analyzed and consequently conducted two fading factors based on the analysis The factors were applied in the system＇ s adaptive filter with targeting applications in deep urban where severe multipath presents. The dense urban field test shows that the false alarm of proposed context-aware algorithm is less than 5% and the adaptive filtering can achieve around 15% improvement in terms of lo in two-dimension position accuracy.

关键词： MEMS IMU GNSS context-aware Adaptive Fihering

A Novel Packet Marking Algorithm in context-aware Autonomic QoS Framework

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China Communications 2009年第4期6卷 98-107页

作者： Gong Xiangyang Wang Wendong Li Yan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications 100876 Beijing P.R. China

Autonomic networking is one of the hot research topics in the research area of future network *** this paper, we introduce context-aware and autonomic attributes into DiffServ QoS framework, and propose a novel autonomic packet marking(APM) *** the proposed autonomic QoS framework, APM is capable of collecting various QoS related contexts, and adaptively adjusting its behavior to provide better QoS guarantee according to users' requirements and network *** results show that APM provides better performance than traditional packet marker, and significantly improves user's quality of experience.

关键词： autonomic QoS framework DiffServ context-aware packet marking

A context—aware Infrastructure for Supporting Applications with Pen—Based Interaction

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Journal of Computer Science & Technology 2003年第3期18卷 343-353页

作者：栗阳关志伟戴国忠任向实韩勇 Human-Computer Interaction Laboratory Institute of Software The Chinese Academy of Sciences Beijing 100080 P.R. China Department of Information Systems Engineering Kochi University of Technology Tosayamada-cho Kochi 782-8502 Japan

Pen-based user interfaces which leverage the affordances of the pen provide userswith more flexibility and natural interaction. However, it is difficult to construct usable pen-baseduser interfaces because of the lack of support for their development. Toolkit-level support has beenexploited to solve this problem, but this approach makes it hard to gain platform independence,easy maintenance and easy extension. In this paper a context-aware infrastructure is created,called WEAVER, to provide pen interaction services for both novel pen-based applications andlegacy GUI-based applications. WEAVER aims to support the pen as another standard interactivedevice along with the keyboard and mouse and present a high-level access interface to pen *** employs application context to tailor its service to different applications. By modeling theapplication context and registering the relevant action adapters, WEAVER can offer services,such as gesture recognition, continuous handwriting and other fundamental ink manipulations, toappropriate applications. One of the distinct features of WEAVER is that off-the-shelf GUI-basedsoftware packages can be easily enhanced with pen interaction without modifying the existing *** this paper, the architecture and components of WEAVER are described. In addition, examplesand feedbacks of its use are presented.

关键词： user interface pen-based interaction context-aware infrastructure ink gesture