2011 Sixth International Conference on Digital Information Management最新文献_第5页

Expert finding and query answering for Collaborative Inter-Organizational system by using Rule Responder 基于规则响应器的协同组织间系统专家查找与查询应答

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093344

R. Tang, S. Fong, S. Sarasvady

{"title":"Expert finding and query answering for Collaborative Inter-Organizational system by using Rule Responder","authors":"R. Tang, S. Fong, S. Sarasvady","doi":"10.1109/ICDIM.2011.6093344","DOIUrl":"https://doi.org/10.1109/ICDIM.2011.6093344","url":null,"abstract":"Collaborative inter-organizational system (C-IOS) is defined as information technology-based systems that engage multiple business partners for achieving some common value-added goals. In the past, many papers from the literature addressed a large number of techniques on collaborative agents. The techniques range from basic information exchange to sophisticated negotiation. Specifically, for C-IOS's two important tasks namely Experts Finding (EF) and Query Answering (QA) are required in collaboration. These two specific tasks facilitate supply-chain mediation and may be subsequent procurement negotiation. EF concerns about finding or match-making the right personnel in an organization as a committee member for fulfilling a part of the job. QA screens initially whether the resources and commitments are potentially available. The two tasks supposedly would have executed prior to any further collaboration, and the communication is cross organizations. This paper contributes a design of C-IOS that supports EF and QA for inter-organizational collaboration. The underlying technical framework is by Rule Responder which is a powerful tool for creating virtual organizations as multi-agent systems that support collaborative teams on the Semantic Web. A use case of hosting an academic conference among different organizations is illustrated with our proposed concepts in this paper.","PeriodicalId":355775,"journal":{"name":"2011 Sixth International Conference on Digital Information Management","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130710529","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

Web service with criteria: Extending WSDL 带有标准的Web服务:扩展WSDL

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093332

N. Parimala, Anu Saini

引用次数: 17

ICT + PBL = holistic learning solution: UTeM's experience ICT + PBL =整体学习解决方案:东大的经验

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093355

F. Shahbodin, M. Yusoff, C. K. Mohd

引用次数: 3

Programming for evaluating strip layout of progressive dies 级进模排样评定的程序设计

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093334

A. C. Lin, Ho Minh Tuan, Dean K. Sheu

引用次数: 1

Context-aware SQA e-learning system 上下文感知SQA电子学习系统

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093327

Nada Bajnaid, R. Benlamri, B. Cogan

引用次数: 5

The Framy user interface for visually-impaired users 为视障用户设计的框架用户界面

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093335

Gabriele Di Chiara, L. Paolino, Marco Romano, M. Sebillo, G. Tortora, G. Vitiello, A. Ginige

引用次数: 11

MHPSO: A new method to enhance the Particle Swarm Optimizer MHPSO:一种改进粒子群优化器的新方法

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093361

Bafrin Zarei, R. Ghanbarzadeh, Poorya Khodabande, Hadi Toofani

引用次数: 4

Classification of Privacy-preserving Distributed Data Mining protocols 保护隐私的分布式数据挖掘协议分类

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093356

Zhuojia Xu, X. Yi

引用次数: 30

Minimal dataset for Network Intrusion Detection Systems via dimensionality reduction 基于降维的网络入侵检测系统最小数据集

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093368

Jean-Pierre Nziga

{"title":"Minimal dataset for Network Intrusion Detection Systems via dimensionality reduction","authors":"Jean-Pierre Nziga","doi":"10.1109/ICDIM.2011.6093368","DOIUrl":"https://doi.org/10.1109/ICDIM.2011.6093368","url":null,"abstract":"Network Intrusion Detection Systems (NIDS) monitor internet traffic to detect malicious activities including but not limited to denial of service attacks, network accesses by unauthorized users, attempts to gain additional privileges and port scans. The amount of data that must be analyzed by NIDS is too large. Prior studies developed feature selection and feature extraction techniques to reduce the size of data. None has focused on finding exactly by how much the dataset should be reduced. Dimensionality reduction is a field in machine learning that consists on mapping high dimensional data into lower dimension while preserving important features of the original dataset. Dimensionality reduction techniques have been used to reduce the amount of data in applications such as speech signals, digital photographs, fMRI scans, DNA microarrays, Hyper spectral data. The purpose of this paper is to find the finite amount of data required for successful intrusion detection. This evaluation is necessary to improve the efficiency of NIDS in identifying existing attack patterns and recognizing new intrusion in real-time. Two dimensionality reduction techniques are used one linear technique (Principal Component Analysis) and one non-linear technique (Multidimensional Scaling). Data is then submitted to two classification algorithms J48 (C.45) and Naïve Bayes. This study was conducted using the KDD Cup 99 data. Experimental results show optimal performance with reduced datasets of 4 dimensions for J48 and 12 dimensions for Naïve Bayes.","PeriodicalId":355775,"journal":{"name":"2011 Sixth International Conference on Digital Information Management","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128215672","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

Automatic text classification and focused crawling 自动文本分类和集中爬行

2011 Sixth International Conference on Digital Information Management Pub Date : 2011-12-01 DOI: 10.1109/ICDIM.2011.6093329

Sameendra Samarawickrama, L. Jayaratne

引用次数: 8