2017 14th Web Information Systems and Applications Conference (WISA)最新文献_第2页

Checking the Statutes in Chinese Judgment Document Based on Editing Distance Algorithm 基于编辑距离算法的中文裁判文书成文法检验

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.1

Yufan Yang, Yi Feng, Jidong Ge, Yemao Zhou, Jin Zeng, Chuanyi Li, B. Luo

{"title":"Checking the Statutes in Chinese Judgment Document Based on Editing Distance Algorithm","authors":"Yufan Yang, Yi Feng, Jidong Ge, Yemao Zhou, Jin Zeng, Chuanyi Li, B. Luo","doi":"10.1109/WISA.2017.1","DOIUrl":"https://doi.org/10.1109/WISA.2017.1","url":null,"abstract":"With the continuous advancement of the informatization of the Chinese People's Court, the court's view on the extraction and application of information has not only been on the structured data, but also for the semi-structured and unstructured data. In the process of in-depth study of the judgment document, many cases require the collection of the document result as an important data dimension, and the key is that the statute is the core of the whole result, so the integrity and correctness of the statute obtained has played a key role for the process of the judgment document processing. However, in the process of writing a specific judgment document, the same statute has different string forms due to the diversity of writing, which leads directly to the error data source. Comparing the editing distance between the strings can judge the similarity of them to a certain extent. Therefore, an automatic method based on the editing distance algorithm is devised, which constructs the disparity model between different statutes strings, to obtain the standardized writing of the same type data. Using this method can remove the non-standard writing of statutes, and ultimately access to the standard statutes collection. This method has a higher efficiency than the method of enumerating all the writing circumstances, which needs the manual participation, additional data storage and update.","PeriodicalId":204706,"journal":{"name":"2017 14th Web Information Systems and Applications Conference (WISA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114400903","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: 0

Information Extraction from Chinese Judgment Documents 中文判决书信息提取

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.67

C. Zhuang, Yemao Zhou, Jidong Ge, Zhongjin Li, Chuanyi Li, Xiaoyu Zhou, B. Luo

引用次数: 4

Research on Influence Evaluation Based on RkNN and Its Application in Location Problem 基于RkNN的影响评价及其在定位问题中的应用研究

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.40

Jingke Xu, Xuefa Xia, Huanliang Sun, Shoujing Wang, Ge Yu

{"title":"Research on Influence Evaluation Based on RkNN and Its Application in Location Problem","authors":"Jingke Xu, Xuefa Xia, Huanliang Sun, Shoujing Wang, Ge Yu","doi":"10.1109/WISA.2017.40","DOIUrl":"https://doi.org/10.1109/WISA.2017.40","url":null,"abstract":"The influence of spatial position means how deep it affects the spatial objects and can be measured by the number of affected spatial objects. The evaluation of spatial position influence which widely used in architectural planning and facility location is a typical study in the spatial database. In previous studies, a spatial object was supposed to affect only one spatial position, the influence of the object calculated by the number of the space objects in the area. However, the spatial object can affect many spatial positions and the effects are multiple. In this study, we provide a new evaluation model based on RkNN. A new measurement method was proposed by calculating the weight of the contribution based on the distance between the space object and the space position. The new measurement method makes the model more suitable for the practical application. In addition, a location algorithm was proposed based on the RkNN influence evaluation model. The algorithm can solve the problem such as making the facilities to provide the best service to the customers and using each facility effectively. The influence of each facility is calculated in this algorithm and the rationality of the location scheme is evaluated by equilibrium coefficient, the smaller the equilibrium coefficient, the more reasonable the scheme. The location algorithm based on the new model shows a better performance in the practical application, it contributes to the more reasonable and effective facility location.","PeriodicalId":204706,"journal":{"name":"2017 14th Web Information Systems and Applications Conference (WISA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129950204","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

USLD: A New Approach for Preserving Location Privacy in LBS USLD: LBS中保护位置隐私的新方法

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.27

M. Ma, Yuejin Du

{"title":"USLD: A New Approach for Preserving Location Privacy in LBS","authors":"M. Ma, Yuejin Du","doi":"10.1109/WISA.2017.27","DOIUrl":"https://doi.org/10.1109/WISA.2017.27","url":null,"abstract":"The development of LBS bring great convenience to our lives, but also presents new challenges to privacy protection. Many of the existing methods are inadequate because in their schemes they assume that all users can be trusted which is not practical. So, the existing methods can not resist the query sampling attack and self-betrayal attacks. In addition to this, they also did not take the location semantic into account, so they are vulnerable to location homogeneity attacks. In order to solve the problems, we introduce the concept of USLD (user similar location diversity), we consider the scenario that part of the users are not trusted, and the users which we choose as candidates may in the locations which have same semantic. We consider some of users to be untrustworthy, propose the idea that users who have similar privacy settings with the real user are more plausible than others. We select users who are similar with the real user using Adjusted Cosine Similarity, and the Earth Mover Distance is used to calculate location semantics. Our method can well resist query sampling attacks, self-betrayal attacks, location homogeneity attacks. Experiments show that our method is very practical.","PeriodicalId":204706,"journal":{"name":"2017 14th Web Information Systems and Applications Conference (WISA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129304947","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

A System for Recognizing Entities and Extracting Relations from Electronic Medical Records 电子病历实体识别与关系提取系统

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.54

Chi Chen, Hongxia Liu, Chunxiao Xing

引用次数: 0

A Progressive Method for Detecting Duplication Entities Based on Bloom Filters 一种基于Bloom过滤器的重复实体递进检测方法

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.11

Yebing Luo, Tiezheng Nie, Derong Shen, Yue Kou, Ge Yu

{"title":"A Progressive Method for Detecting Duplication Entities Based on Bloom Filters","authors":"Yebing Luo, Tiezheng Nie, Derong Shen, Yue Kou, Ge Yu","doi":"10.1109/WISA.2017.11","DOIUrl":"https://doi.org/10.1109/WISA.2017.11","url":null,"abstract":"With the volume of data grows rapidly, the cost of detecting duplication entities has increased significantly in data cleaning. However, some real-time applications only need to identify as many duplicate entities as possible in a limited time, rather than all of them. The existing works adopt the sorting method to divide similar records into blocks, and arrange the processing order of blocks to detect duplicate entity progressively. However, this method only works well when the attributes of records are suitable for sorting. Therefore, this paper proposes a novel progressive de-duplicate method for records that can't be sorted by their attributes. The method distributes records into different blocks based on their features and generates a modified bloom filter index for each block. Then it uses the bloom filter to predict the probability of duplicate entities in this block, which determines the processing order of blocks to detect the duplicate entities more quickly. The comprehensive experiment shows that the number of duplicate detection by this algorithm in the finite time is far more efficient than other algorithms involved in the related works.","PeriodicalId":204706,"journal":{"name":"2017 14th Web Information Systems and Applications Conference (WISA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127967773","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: 0

Research on Short-Time Prediction of Dynamical Local Replanning Route Guidance Method Based on HMM 基于HMM的动态局部重规划路径引导方法短时预测研究

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.32

Yongmei Zhao, Hongmei Zhang

引用次数: 2

A Collaborative Filtering Recommendation Algorithm for Social Interaction 一种面向社会互动的协同过滤推荐算法

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.26

Jinglong Zhang, Mengxing Huang, Yu Zhang

引用次数: 3

Smart Business Cloud Based on Hadoop 基于Hadoop的智能商业云

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.20

Ouyang Hao, Wang Zhi Wen, H. Jin, H. Ping

引用次数: 0

New Influence Maximization Algorithm Research in Big Graph 大图中新的影响最大化算法研究

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.50

Guigang Zhang, Sujie Li, Jian Wang, Ping Liu, Yibing Chen, Yunchuan Luo

引用次数: 2