2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems最新文献_第4页

The Butterfly Model for Supporting Creative Problem Solving 支持创造性解决问题的蝴蝶模型

2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems Pub Date : 2012-11-08 DOI: 10.1109/KICSS.2012.18

J. Hyun, Chan Jung Park

引用次数: 7

Why Web-Based Pseudo Relevance Feedback Systems Fail 为什么基于web的伪相关反馈系统会失败

2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems Pub Date : 2012-11-08 DOI: 10.1109/KICSS.2012.40

Jing Zhang, K. Ong, V. Lee

引用次数: 1

A Framework of an Extended Reading Passage Grading System for Personalised English Learning 面向个性化英语学习的扩展阅读文章评分体系框架

2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems Pub Date : 2012-11-08 DOI: 10.1109/KICSS.2012.46

W. N. Chai, T. Ruangrajitpakorn, T. Supnithi

引用次数: 1

Practical Improvements of the Technological Idea Production Method Using Patent Knowledge 利用专利知识的技术创意生产方法的实践改进

2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems Pub Date : 2012-11-08 DOI: 10.1109/KICSS.2012.47

Itsuo Makino, T. Yuizono

引用次数: 0

Activity Recognition Using Context-Aware Infrastructure Ontology in Smart Home Domain 基于上下文感知基础结构本体的智能家居领域活动识别

2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems Pub Date : 2012-11-08 DOI: 10.1109/KICSS.2012.26

K. Wongpatikaseree, M. Ikeda, M. Buranarach, T. Supnithi, A. Lim, Yasuo Tan

{"title":"Activity Recognition Using Context-Aware Infrastructure Ontology in Smart Home Domain","authors":"K. Wongpatikaseree, M. Ikeda, M. Buranarach, T. Supnithi, A. Lim, Yasuo Tan","doi":"10.1109/KICSS.2012.26","DOIUrl":"https://doi.org/10.1109/KICSS.2012.26","url":null,"abstract":"Nowadays, activity recognition has been proposed in several researches. It is attractive to improve the ability of the activity recognition system because existing research on activity recognition systems still have an error in an ambiguous cases. In this paper, we introduce the novel technique to improve the activity recognition system in smart home domain. We propose the three contributions in this research. Firstly, we design the context-aware infrastructure ontology for modelling the user's context in the smart home. The innovative data, human posture, is added into the user's context for reducing the ambiguous cases. Secondly, we propose the concepts to distinguish the activities by object-based and location-based concepts. We also present the description logic (DL) rules for making the human activity decision based on our proposed concepts. Lastly, We conduct the Ontology Based Activity Recognition (OBAR) system for two purposes: to recognize the human activity, and to search the semantic information in the system, called semantic ontology search (SOS) system. The results show the system can recognize the human activity correctly and also reduce the ambiguous case.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129744497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 88

Feature Selection Based on Audience's Behavior for Information Filtering in Online Social Networks 基于受众行为的在线社交网络信息过滤特征选择

2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems Pub Date : 2012-11-08 DOI: 10.1109/KICSS.2012.27

A. Ratikan, M. Shikida

{"title":"Feature Selection Based on Audience's Behavior for Information Filtering in Online Social Networks","authors":"A. Ratikan, M. Shikida","doi":"10.1109/KICSS.2012.27","DOIUrl":"https://doi.org/10.1109/KICSS.2012.27","url":null,"abstract":"Nowadays, online social networks (OSNs) become a part of human life. People use the OSNs for different purposes such as working, entertainment and so on. However, existing OSNs feed too much information into an audience's social network page without recognized the audience's situation or the audience's desire. This problem, called information overload, is a weak point of current OSNs. Our ultimate goal is to change traditional feeding information used in existing OSNs to a new type of feeding information by filtering out inconsistent information with the audience's situation. Therefore, this paper aims to prepare necessary features used in filtering information to get consistent information with the audience's situation. We also study behavior of audience in several aspects by analysis characteristic of post. The result indicates that three features are essential for the audience's decision to allow a post to be displayed on the audience's social network page, which are n1 (topic of post), n0 (audience's current situation), and n2 (type of relationship between audience and creator). Furthermore, other factors such as the number of times which a post is reviewed by the audience, age and, career have an impact on the audience's decision.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130024331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4