2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)最新文献_第3页

Evaluating Effectiveness of Concept Maps for Ontology Conceptualization: A Quantitative Study 评价概念图在本体概念化中的有效性:一项定量研究

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464766

R. Iqbal, M. A. Azmi Murad, A. Mustapha, Abdul Attayyab Khan, System Rizwan Ali, Clay Palmeira da Silva

{"title":"Evaluating Effectiveness of Concept Maps for Ontology Conceptualization: A Quantitative Study","authors":"R. Iqbal, M. A. Azmi Murad, A. Mustapha, Abdul Attayyab Khan, System Rizwan Ali, Clay Palmeira da Silva","doi":"10.1109/INFRKM.2018.8464766","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464766","url":null,"abstract":"over the passage of time different techniques for conceptualizing ontologies have been presented. Conceptualization comprises a simplified vision of the objects, concepts, and other entities that are assumed to exist in some area of interest and the relations among them. The use of graphical knowledge representation formalisms with a representational vocabulary agreement of terms of conceptualization of the universe of discourse is a new high potential approach in the ontology engineering and knowledge management context. Initially, concept maps were used in the field of education and learning but soon it got popular in other areas because of its flexible and intuitive nature. It has also been proven as an effective tool to increase communication in corporate environments. In the field of ontologies, concept maps have been explored and used for facilitating different aspects of ontology development. An important reason behind this motivation is the structural resemblance of concept maps with the hierarchical structure of ontologies. This research intends to demonstrate quantitative evaluation of 2 different hypotheses related with the effectiveness of using concept maps for ontology conceptualization. Results demonstrate that concept maps instill the element of learning in the conceptualization process. Furthermore, they provide a platform for participants to resolve conflicting opinions and term ambiguities on immediate basis.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125417773","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: 3

Query Expansion in Information Retrieval for Urdu Language 乌尔都语信息检索中的查询扩展

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464762

Imran Rasheed, H. Banka

引用次数: 9

Surveillance Video Retrieval Using Effective Matching Techniques 基于有效匹配技术的监控视频检索

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464772

F. F. Chamasemani, L. S. Affendey, N. Mustapha, F. Khalid

引用次数: 2

Job Performance Through Knowledge Sharing Behavior in Global Software Development Organizations 全球软件开发组织中知识共享行为对工作绩效的影响

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464822

Rayhab Anwar, M. Rehman, Khor Siak Wang, R. Salleh

{"title":"Job Performance Through Knowledge Sharing Behavior in Global Software Development Organizations","authors":"Rayhab Anwar, M. Rehman, Khor Siak Wang, R. Salleh","doi":"10.1109/INFRKM.2018.8464822","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464822","url":null,"abstract":"Global software development is a knowledge intensive activity which is supported by knowledge sharing with team members working from different locations and backgrounds. Knowledge is considered as “power” and usually people hesitate to share it. There is an essential need to promote and create a knowledge sharing environment. In this research, Theory of Planned Behavior has been applied as the theoretical backbone of the conceptual framework with focus on knowledge sharing in global software development. This study examines impact of key factors, including attitude, subjective norms and perceived behavioral control on knowledge sharing intention and how knowledge sharing intention impacts knowledge sharing behavior. Furthermore, the impact of knowledge sharing behavior on job performance has also been explored. Data analysis results showed that attitude, subjective norms and perceived behavioral control had positive effects on knowledge sharing intention. Knowledge sharing behavior was found to have strongest impact on job performance. The results of this research should be of interest to academics and practitioners in the domain of global software development.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124776171","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: 2

Comparison of Handcrafted Features and Deep Learning in Classification of Medical X-ray Images 手工特征与深度学习在医学x射线图像分类中的比较

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464688

M. Zare, D. O. Alebiosu, Sheng Long Lee

{"title":"Comparison of Handcrafted Features and Deep Learning in Classification of Medical X-ray Images","authors":"M. Zare, D. O. Alebiosu, Sheng Long Lee","doi":"10.1109/INFRKM.2018.8464688","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464688","url":null,"abstract":"The rapid growth and spread of radiographic equipment in medical centres have resulted in a corresponding increase in the number of medical X-ray images produced. Therefore, more efficient and effective image classification techniques are required. Three different techniques for automatic classification of medical X-ray images were compared. A bag-of-visual-words model and a Convolutional Neural Network (CNN) were used to extract features from the images. The two groups of extracted feature vectors were each used to train a linear support vector machine classifier. Third, a fine-tuned CNN was used for end-to-end classification. A pre-trained CNN was used to overcome dataset limitations. The three techniques were evaluated on the ImageCLEF 2007 medical database. The database provides medical X-ray images in 116 categories. The experimental results showed that fine-tuned CNN outperforms the other two techniques by achieving per class classification accuracy above 80% in 60 classes compared to 24 and 26 classes for bag-of-visual-words and CNN extracted features respectively. However, certain classes remain difficult to classify accurately such as classes in the same sub-body region due to inter-class similarity.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133641909","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: 12

Information System Success and Knowledge Grid Integration in Facilitating Knowledge Sharing Among Big Data Community 信息系统成功与知识网格集成促进大数据社区知识共享

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464790

Sara Hsseinoiun, R. Abdullah, Y. Y. Jusoh, M. Jabar

{"title":"Information System Success and Knowledge Grid Integration in Facilitating Knowledge Sharing Among Big Data Community","authors":"Sara Hsseinoiun, R. Abdullah, Y. Y. Jusoh, M. Jabar","doi":"10.1109/INFRKM.2018.8464790","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464790","url":null,"abstract":"Nowadays many domains interested to use big data to improve their decision making, strategic planning, and productivity while communication infrastructure supports various applications for users to share their resources, ideas or experiences. However, accessing, managing, analyzing, and using the rapidly expanding big data had raised challenges especially because of dispersed and heterogeneous nature of data. This review aimed to identify the factors to influence facilitating knowledge sharing among big data community from user satisfaction aspect and the way knowledge grid effect big data sharing by Delone and Maclean model for information system success. The research analysis and results revealed three features of knowledge grid which may influence information and system quality which defined as main factors affect knowledge sharing among the community from member's aspect. It also demonstrates seven factors to measure the facilitating knowledge sharing from community member's satisfaction view and quantity of knowledge sharing. Finally, the review established an initial conceptual model for facilitating knowledge sharing among big data which in follow up research will review by domain experts.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130839498","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: 5

Getting Places on Time: Smart Map Orientation Guide 准时到达:智能地图方向指南

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464789

Liang Chee Liang, N. Samsudin, A. Mustapha, M. H. Abd Wahab

引用次数: 1

Durian Species Recognition System Based on Global Shape Representations and K-Nearest Neighbors 基于全局形状表示和k近邻的榴莲物种识别系统

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464795

Xin Yi Nyon, M. Mustaffa, L. N. Abdullah, Nurul Amelina Nasharuddin

{"title":"Durian Species Recognition System Based on Global Shape Representations and K-Nearest Neighbors","authors":"Xin Yi Nyon, M. Mustaffa, L. N. Abdullah, Nurul Amelina Nasharuddin","doi":"10.1109/INFRKM.2018.8464795","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464795","url":null,"abstract":"Many fruit recognition systems today are designed to classify different type of fruits but there is no content-based fruit recognition system focuses on durian species. Durian, known as the king of tropical fruits, have few similar characteristics between different species where the skin have almost the same color from green to yellowish brown with slightly different shape of thorns and it is hard to differentiate them with the current methods. Sometimes it is even hard for general consumers to differentiate durian species by themselves. This work aims to contribute to an automatic content-based durian species recognition that will be able to assist users in differentiating various species of durian. Few global contour-based and region-based shape descriptors such as area, perimeter, and circularity are computed as feature vectors and K-Nearest Neighbors algorithm is used to classify the durian based on the extracted features. 10-fold cross-validation is used to evaluate the proposed system. Experimental results have shown that the proposed feature extraction method for the durian species recognition system has successfully obtained a positive recognition rate of 100%.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131521858","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: 6

Institutional and Individual Triggers of Innovative Mindset in Knowledge Work 知识工作中创新思维的制度和个人触发因素

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464693

Aaro Hazak

{"title":"Institutional and Individual Triggers of Innovative Mindset in Knowledge Work","authors":"Aaro Hazak","doi":"10.1109/INFRKM.2018.8464693","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464693","url":null,"abstract":"Innovation is key for sustained economic development while knowledge management, in turn, is an important driver of innovation. Our empirical research project investigates the role of work arrangements and other institutional factors as well as individual characteristics on the efficiency of utilizing the creative potential of knowledge employees. This short conference paper presents some findings from that interdisciplinary project, focusing on work organizational and personal factors of the intensity of innovation oriented mindset in creative knowledge employees. Ordered probit regression estimates on a sample of 146 Estonian creative research and development employees are presented. The findings show that out of personal characteristics age and number of children have strong links with a mindset to innovate for the benefit of the employer – innovational activities appear to decrease with age and larger number of children appears to support innovativeness for the employer's benefit. Flexibility of work arrangements, total working hours, duration of the employment contract and salary level appear to be strongly related to the intensity of innovative mindset in knowledge employees. Improved principles of knowledge management may allow for capturing the intellectual potential of knowledge employees better.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128078811","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: 1

Towards Developing a Comprehensive Business Intelligence Maturity Model for Malaysian Public Sector: Application of Mixed Methodology 面向发展马来西亚公共部门综合商业智能成熟度模型:混合方法论的应用

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464776

Muhammad Harith Zahrullaili, M. Noordin

引用次数: 1