2017 3th International Conference on Web Research (ICWR)最新文献_第2页

A framework for linked data fusion and quality assessment 关联数据融合和质量评估框架

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959307

M. K. Nahari, Nasser Ghadiri, Zahra Jafarifard, A. B. Dastjerdi, J. Sack

{"title":"A framework for linked data fusion and quality assessment","authors":"M. K. Nahari, Nasser Ghadiri, Zahra Jafarifard, A. B. Dastjerdi, J. Sack","doi":"10.1109/ICWR.2017.7959307","DOIUrl":"https://doi.org/10.1109/ICWR.2017.7959307","url":null,"abstract":"The growth of semantic web technologies underpins the ever-increasing development of linked data and their applications. In recent years, the number of linked data sources has been raised from 12 to more than 2973 sets. The datasets are managed as decentralized sources, and their quality is a serious concern. The assessment of the quality of linked data is a key to adopting them in different fields because each data set has been developed by a different group, using various methods and tools. Moreover, crowd sourcing contributes as one of the main strategies in data collection. This contribution is seen in the tourism industry or E-commerce fields and deserves attention. The qualitative and quantitative diversity of such data is higher than those generated by official organizations and firms. In this paper, we first overview and evaluate the dimensions and measures for the quality assessment of data. Then, we present a novel framework as a solution for improving linked data quality evaluation and data fusion. Finally, we adopt several tools to assess the quality of data of some reputable data sources using the proposed framework.","PeriodicalId":304897,"journal":{"name":"2017 3th International Conference on Web Research (ICWR)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129660318","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

A bottom-up algorithm to create structurally balanced social networks by modifying the sources of tension 一种自下而上的算法，通过修改紧张的来源来创建结构平衡的社交网络

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959315

Sajjad Salehi, F. Taghiyareh

引用次数: 2

Plagiarism detection of flowchart images in the texts 文本中流程图图像的抄袭检测

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959317

Behnam Hadi, M. Kargar

引用次数: 3

Using the opinion leaders in social networks to improve the cold start challenge in recommender systems 利用社交网络中的意见领袖改进推荐系统的冷启动挑战

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959306

Seyed Ali Mohammadi, Azam Andalib

{"title":"Using the opinion leaders in social networks to improve the cold start challenge in recommender systems","authors":"Seyed Ali Mohammadi, Azam Andalib","doi":"10.1109/ICWR.2017.7959306","DOIUrl":"https://doi.org/10.1109/ICWR.2017.7959306","url":null,"abstract":"The increasing volume of information about goods and services has been growing confusion for online buyers in cyberspace and this problem still continues. One of the most important ways to deal with the information overload is using a system called recommender system. The task of a recommender system is to offer the most appropriate and the nearest product to the user's demands and needs. In this system, one of the main problems is the cold start challenge. This problem occurs when a new user logs on and because there is no sufficient information available in the system from the user, the system won't be able to provide appropriate recommendation and the system error will rise. In this paper, we propose to use a new measurement called opinion leaders to alleviate this problem. Opinion leader is a person that his opinion has an impact on the target user. As a result, in the case of a new user logging in and the user — item's matrix sparseness, we can use the opinion of opinion leaders to offer the appropriate recommendation for new users and thereby increase the accuracy of the recommender system. The results of several conducted tests showed that opinion leaders combined with recommender systems will effectively reduce the recommendation errors.","PeriodicalId":304897,"journal":{"name":"2017 3th International Conference on Web Research (ICWR)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114430514","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: 18

Linked data partitioning for RDF processing on Apache Spark 在Apache Spark上进行RDF处理的链接数据分区

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959308

Amir Hossein Atashkar, Nasser Ghadiri, Mehdi Joodaki

引用次数: 6

Presenting a model based on social network analysis in order to offer a diet to users proper to their mood 提出一个基于社交网络分析的模型，为用户提供适合他们心情的饮食

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959318

Maryam Tasviri, S. Golpayegani, Hoda Ghavamipoor

引用次数: 0

Assessments Sqli and Xss vulnerability in several organizational websites of North khorasan in Iran and offer solutions to fix these vulnerabilities 评估伊朗北呼罗珊几个组织网站Sqli和Xss漏洞，并提供解决这些漏洞的解决方案

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959303

Fatemeh Talebzadeh Pirvadlu, Ghodrat Sepidnam

引用次数: 1

Fast and scalable protein motif sequence clustering based on Hadoop framework 基于Hadoop框架的快速可扩展蛋白质基序序列聚类

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959300

Erfan Farhangi, Nasser Ghadiri, Mahsa Asadi, M. Nikbakht, Sylvain Pitre

{"title":"Fast and scalable protein motif sequence clustering based on Hadoop framework","authors":"Erfan Farhangi, Nasser Ghadiri, Mahsa Asadi, M. Nikbakht, Sylvain Pitre","doi":"10.1109/ICWR.2017.7959300","DOIUrl":"https://doi.org/10.1109/ICWR.2017.7959300","url":null,"abstract":"In recent years, we are faced with large amounts of sporadic unstructured data on the web. With the explosive growth of such data, there is a growing need for effective methods such as clustering to analyze and extract information. Biological data forms an important part of unstructured data on the web. Protein sequence databases are considered as a primary source of biological data. Clustering can help to organize sequences into homologous and functionally similar groups and can improve the speed of data processing and analysis. Proteins are responsible for most of the activities in cells. The majority of proteins show their function through interaction with other proteins. Hence, prediction of protein interactions is an important research area in the biomedical sciences. Motifs are fragments frequently occurred in protein sequences. A well- known method to specify the protein interaction is based on motif Clustering. Existing works on motif clustering methods share the problem of limitation in the number of clusters. However, regarding the vast amount of motifs and the necessity of a large number of clusters, it seems that an efficient, scalable and fast method is necessary to cluster such large number of sequences. In this paper, we propose a novel approach to cluster a large number of motifs. Our approach includes extracting motifs within protein sequences, feature selection, preprocessing, dimension reduction and utilizing BigFCM (a large-scale fuzzy clustering) on several distributed nodes with Hadoop framework to take the advantage of MapReduce Programming. Experimental Results show very good Performance of our approach.","PeriodicalId":304897,"journal":{"name":"2017 3th International Conference on Web Research (ICWR)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123952299","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

Optimizing multi objective based workflow scheduling in cloud computing using black hole algorithm 基于黑洞算法的云计算多目标工作流调度优化

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959313

F. Ebadifard, S. M. Babamir

引用次数: 19

Persian multimedia search services' users propensities 波斯语多媒体搜索服务的用户倾向

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959304

M. Mahmoudi, M. Azimzade, M. Esnaashari, M. Farhoodi, Reza Badie

引用次数: 0