Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services最新文献_第6页

Extraction of current actual status and demand expressions from complaint reports 从投诉报告中提取当前的实际状态和需求表达

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011201

Yuta Sano, Tsunenori Mine

{"title":"Extraction of current actual status and demand expressions from complaint reports","authors":"Yuta Sano, Tsunenori Mine","doi":"10.1145/3011141.3011201","DOIUrl":"https://doi.org/10.1145/3011141.3011201","url":null,"abstract":"Government 2.0 activities have become very attractive and popular these days. Using platforms to support the activities such as FixMyStreet, SeeClickFix, or CitySourced, anyone can anytime report issues or complaints in a city with their photographs and geographical information on the Web, and share them with other people. On the other hand, unlike telephone calls, the concreteness of a report depends on its reporter; the actual status and demand to the status may not be described clearly or either one may be miss-described in the report. It may accordingly happen that officials in the city management section can not understand the actual status or a demand to the status from the report. To solve the problems, it is indispensable to complement missing information and estimate the actual status or the demand to the status from ambiguous information in the report. This paper proposes novel methods to detect segments related to an actual status and the demand to the status in a report. The methods combine empirical rules with several machine learning techniques that actively use dependency relation between words. Experimental results illustrate the validity of the proposed methods.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123003915","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

Fast text anonymization using k-anonyminity 使用k-匿名快速文本匿名化

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011217

Wakana Maeda, Yumiko Suzuki, Satoshi Nakamura

{"title":"Fast text anonymization using k-anonyminity","authors":"Wakana Maeda, Yumiko Suzuki, Satoshi Nakamura","doi":"10.1145/3011141.3011217","DOIUrl":"https://doi.org/10.1145/3011141.3011217","url":null,"abstract":"In this paper, we propose a method for anonymizing unstructured texts using a quasi-identifier list. In our method, the system redacts from some parts of quasi-identifiers in the texts to the alternate characters such as \"*\", in order to prevent re-identification of information which should be kept in secrecy. However, this method has a room for an improvement for keeping the information on the original text as is. If the system anonymizes the texts and keeps the original texts as much as possible, the accuracy of the outputs by data mining techniques for the anonymized texts should be useful. Our method anonymizes quasi-identifiers to remain substrings which do not contribute to re-identification, in order to keep the information on the original texts as is. Concretely, the system identifies the substrings which should be redacted to satisfy the following two conditions: 1) Any terms in the quasi-identifier list satisfies k-anonymity by redacting characters. 2) The number of redacted characters is minimized. From the quasi-identifier list, we construct the anonymization dictionary which records the two number in advance; the number of quasi-identifiers which are anonymized in the same way, and a number of redacted characters of the anonymized quasi-identifier. However, this construction step is time consuming, because the system needs to retrieve a huge number of patterns. To solve this problem, we propose an acceleration method for constructing the anonymization dictionary using several heuristics and the set theory.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124853985","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

A proposed checklist for the technical maturity of open government data: an application on GCC countries 政府公开数据技术成熟度的拟议清单:在海湾合作委员会国家的应用

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011211

Nouf Alromaih, Hend Albassam, Hend Suliman Al-Khalifa

引用次数: 7

Applying ant-colony concepts to trust-based recommender systems 将蚁群概念应用于基于信任的推荐系统

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011161

Phannakan Tengkiattrakul, Saranya Maneeroj, A. Takasu

引用次数: 7

Hybrid large-scale ontology matching strategy on big data environment 大数据环境下的混合大规模本体匹配策略

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011185

Imadeddine Mountasser, B. Ouhbi, B. Frikh

引用次数: 9

Extracting welcome news from travel reviews 从旅游评论中提取受欢迎的消息

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011149

Keigo Sakai, Akiyo Nadamoto

{"title":"Extracting welcome news from travel reviews","authors":"Keigo Sakai, Akiyo Nadamoto","doi":"10.1145/3011141.3011149","DOIUrl":"https://doi.org/10.1145/3011141.3011149","url":null,"abstract":"Nowadays, travel-related information of many kinds can be found on the Internet. People plan their travel and obtain information about sightseeing spots from the Internet before they travel. When obtaining information related to sightseeing spots, they receive basic information from official pages easily. However, other useful information exists on user-generated travel sites. User-generated travel sites abound on the Internet, offering great amounts of diverse information related to travel and destinations. This study addresses travel information of four types related to user-generated travel sites: basic, useful-buzz, useful-unexpected, and garbage information. Useful-unexpected information benefits users, but extracting it from user-generated content is difficult because it includes so much useful-buzz information and garbage information. We designate useful-unexpected important information as \"Welcome-news\". As described herein, we propose a means of extracting Welcome-news from user-generated travel contents. Our proposed Welcome-news is \"useful information\" and \"unexpected information\" related to travel. We first extract useful information based on Welcome news keywords, which are general keywords and unique keywords. General keywords often appear in Welcome-news. We regard general keywords by our user experiment. Unique keywords depend on the sightseeing spot. We regard unique keywords based on SVM. Next we extract unexpected information based on clustering. Our unexpected information includes topics of unexpected information that are important topics for sightseeing spots and contents that are often not stated. Subsequently, we extract important topics based on topic-based clustering. Then we extract unexpected information contents from the cluster based on its distance from the cluster center. We conducted experiments of three types to extract correct answers, to assess the feasibility of using Welcome-news keywords, and to assess the feasibility of extracting Welcome-news.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"39 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120854346","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

Generating responsive web pages using SuperSQL 使用SuperSQL生成响应式网页

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011162

Ryosuke Koshijima, Kento Goto, Motomichi Toyama

引用次数: 2

A web-based system and web service for coloring and decoding Arabic text for Arabic learners 一个基于网络的系统和网络服务，为阿拉伯语学习者着色和解码阿拉伯语文本

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011188

Hend Suliman Al-Khalifa, Afnan Alfaadhel, Daniah Albulikhi, Lamya Alrakhes, Nada Almugren, S. Alqubaisi, Muna A. Muhaureq

引用次数: 0

Software engineer education support system ALECSS utilizing DevOps tools 使用DevOps工具的软件工程师教育支持系统ALECSS

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011200

Mika Ohtsuki, Kazuki Ohta, T. Kakeshita

{"title":"Software engineer education support system ALECSS utilizing DevOps tools","authors":"Mika Ohtsuki, Kazuki Ohta, T. Kakeshita","doi":"10.1145/3011141.3011200","DOIUrl":"https://doi.org/10.1145/3011141.3011200","url":null,"abstract":"Various types of DevOps tools are widely used for software development in order to ensure software quality and quick delivery of the software. Typical examples of such DevOps tools are continuous integration tool Jenkins, version control tool Git, unit test tool JUnit, coding style checker Checkstyle and static code analysis tool FindBugs. In this paper, we propose an education support system ALECSS to train software developers by integrating several DevOps tools explained above. The system automatically checks the programs submitted by the student teams and provides feedbacks generated by the DevOps tools to the students. The feedbacks are valuable to learn various techniques for high quality software development and to support evaluation by the teacher. We also develop various scripts for output checking and Git working status checking. These scripts use exercise contents and student's information in checking and sometimes need to generate typical results from templates for comparing them with the students' answers. Such scripts are also integrated to ALECSS. We evaluate ALECSS by comparing the messages generated by Checkstyle and FindBugs with the review comments produced the student teams. We found that the automatically generated messages and the review comments are greatly differ so that both are important for effective education.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127238901","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

Ontology knowledge-based framework for machine learning concept 基于本体知识的机器学习框架概念

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011207

Kanjana Sudathip, M. Sodanil

引用次数: 6