检索结果-内蒙古大学图书馆

An Efficient Mechanism for Product Data Extraction from E-Commerce Websites

Computers, Materials & Continua 2020年第12期65卷 2639-2663页

作者： Malik Javed Akhtar Zahur Ahmad Rashid Amin Sultan H.Almotiri Mohammed A.Al Ghamdi Hamza Aldabbas University of Engineering and Technology TaxilaPakistan Computer Science Department Umm Al-Qura UniversityMakkah CitySaudi Arabia Al-Balqa Applied University Al-SaltJordan

A large amount of data is present on the web which can be used for useful purposes like a product recommendation,price comparison and demand forecasting for a particular *** are designed for human understanding and not for ***,to make data machine-readable,it requires techniques to grab data from web *** have addressed the problem using two approaches,i.e.,knowledge engineering and machine *** of the art knowledge engineering approaches use the structure of documents,visual cues,clustering of attributes of data records and text processing techniques to identify data records on a web *** learning approaches use annotated pages to learn *** rules are used to extract data from unseen web *** structure of web documents is continuously ***,new techniques are needed to handle the emerging requirements of web data *** this paper,we have presented a novel,simple and efficient technique to extract data from web pages using visual styles and structure of *** proposed technique detects Rich Data Region(RDR)using query and correlative words of the *** is then divided into data records using style *** elements are removed using a Common Tag Sequence(CTS)and formatting *** system is implemented using JAVA and runs on the dataset of real-world working *** effectiveness of results is evaluated using precision,recall,and F-measure and compared with five existing systems.A comparison of the proposed technique to existing systems has shown encouraging results.

关键词： document object model rich data region common tag sequence web data extraction deep web mining

来源：评论

学校读者我要写书评

暂无评论

A Novel Web Scraping Approach Using the Additional Information Obtained From Web Pages

引用

IEEE ACCESS 2020年 8卷 61726-61740页

作者： Uzun, Erdinc Tekirdag Namik Kemal Univ Corlu Fac Engn Dept Comp Engn TR-59860 Tekirdag Turkey

Web scraping is a process of extracting valuable and interesting text information from web pages. Most of the current studies targeting this task are mostly about automated web data extraction. In the extraction process, these studies first create a DOM tree and then access the necessary data through this tree. The construction process of this tree increases the time cost depending on the data structure of the DOM Tree. In the current web scraping literature, it is observed that time efficiency is ignored. This study proposes a novel approach, namely UzunExt, which extracts content quickly using the string methods and additional information without creating a DOM Tree. The string methods consist of the following consecutive steps: searching for a given pattern, then calculating the number of closing HTML elements for this pattern, and finally extracting content for the pattern. In the crawling process, our approach collects the additional information, including the starting position for enhancing the searching process, the number of inner tag for improving the extraction process, and tag repetition for terminating the extraction process. The string methods of this novel approach are about 60 times faster than extracting with the DOM-based method. Moreover, using these additional information improves extraction time by 2.35 times compared to using only the string methods. Furthermore, this approach can easily be adapted to other DOM-based studies/parsers in this task to enhance their time efficiencies.

关键词： Computational efficiency algorithm design and analysis web crawling and scraping document object model

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis for Mining Images of Deep Web

引用

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2020年第10期11卷 1-7页

作者： Sabri, Ily Amalina Ahmad Man, Mustafa Univ Malaysia Terengganu Fac Ocean Engn Technol & Informat Terengganu Malaysia

In this paper, advancing web scale knowledge extraction and alignment by integrating few sources has been considered by exploring different methods of aggregation and attention in order to focus on image information. An improved model, namely, Wrapper Extraction of Image using DOM and JSON (WEIDJ) has been proposed to extract images and the related information in fastest way. Several models, such as document object model (DOM), Wrapper using Hybrid DOM and JSON (WHDJ), WEIDJ and WEIDJ (no-rules) are been discussed. The experimental results on real world websites demonstrate that our models outperform others, such as document object model (DOM), Wrapper using Hybrid DOM and JSON (WHDJ) in terms of mining in a higher volume of web data from a various types of image format and taking the consideration of web data extraction from deep web.

关键词： Data extraction document object model web data extraction Wrapper using Hybrid DOM and JSON Wrapper Extraction of Image using DOM and JSON

来源：评论

学校读者我要写书评

暂无评论

A Dynamic Hierarchical Approach to modelling and Orchestrating the Web of Things Using the DOM, CSS and JavaScript

A Dynamic Hierarchical Approach to Modelling and Orchestrati...

引用

CHI Conference on Human Factors in Computing Systems (CHI)

作者： Owen, Alex Martinez, Kirk Univ Southampton Web Sci Southampton Hants England Univ Southampton Elect & Comp Sci Southampton Hants England

ISBN: (纸本)9781450359719

There is a lot of work in progress by the W3C and others surrounding a Web standards compliant Web of Things (WoT) which it is hoped will unify the current Internet of Things infrastructure. Our contribution to this uses the document object model (DOM) to represent complex physical environments, with a CSS-like syntax for storing and controlling the state of 'things' within it. We describe how JavaScript can be used in conjunction with these to create an approach which is familiar to Web developers and may help them to transition more smoothly into WoT development. We share our implementation and explore some of the many potential avenues for future research. These include rich WoT development tools and the possibility of content production for physical environments.

关键词： Web of Things WoT Internet of Things IoT Web Development document object model Linked Data

来源：评论

学校读者我要写书评

暂无评论

Web Data Extraction Approach for Deep Web using WEIDJ

引用

Procedia Computer Science 2019年 163卷 417-426页

作者： Ily Amalina Ahmad Sabri Mustafa Man Wan Aezwani Wan Abu Bakar Ahmad Nazari Mohd Rose School of Informatics and Applied Mathematics Universiti Malaysia Terengganu Terengganu Malaysia Faculty of Informatics and Computing University Sultan Zainal Abidin Terengganu Malaysia

Data extraction is one of the most prominent areas in data mining analysis that is been extensively studied especially in the field of data requirements and reservoir. The main aim of data extraction with regards to semi-structured data is to retrieve beneficial information from the World Wide Web. The data from large web data also known as deep web is retrievable but it requires request through form submission because it cannot be performed by any search engines. Data mining applications and automatic data extraction are very cumbersome due to the diverse structure of web pages. Most of the previous data extraction techniques were dealing with various data types such as text, audio, video and etc. but research works that are focusing on image as data are still lacking. document object model (DOM) is an example of the state of the art of data extraction technique that is related to research work in mining image data. DOM was the method used to solve semi-structured data extraction from web. However, as the HTML documents start to grow larger, it has been found that the process of data extraction has been plagued with lengthy processing time and noisy information. In this research work, we propose an improved model namely Wrapper Extraction of Image using DOM and JSON (WEIDJ) in response to the promising results of mining in a higher volume of web data from a various types of image format and taking the consideration of web data extraction from deep web. To observe the efficiency of the proposed model, we compare the performance of data extraction by different level of page extraction with existing methods such as VIBS, MDR, DEPTA and VIDE. It has yielded the best results in Precision with 100, Recall with 97.93103 and F-measure with 98.9547.

关键词： document object model Web Data Extraction Wrapper Extraction of Image using DOM JSON (WEIDJ)

来源：评论

学校读者我要写书评

暂无评论

DOMdiff: Identification and Classification of Inter-DOM Modifications 18

DOMdiff: Identification and Classification of Inter-DOM Modi...

引用

IEEE/WIC/ACM International Conference on Web Intelligence (WI)

作者： Leithner, Manuel Simos, Dimitris E. SBA Res Vienna Austria

ISBN: (纸本)9781538673256

Current web crawlers, document databases and change monitoring systems for web sites are commonly limited to static content and analysis of code as retrieved from the server, an approach that is not suitable for modern dynamic web applications. The canonical representation of the contents of a single web page at any given time is an instance of the document object model (DOM), a tree structure that forms the basis for rendering and processing of the page within the browser and is updated when content is modified. This work presents DOMdiff, an algorithm to identify changes between two different DOM instances, as well as a method to classify these changes in terms of a ranking that represents the distance between the two trees. We compare a manually derived classifier with the results of PRank, a ranked version of the Perceptron algorithm, a simple machine learning approach that generates a multiclass classifier based on formulae in a constrained predicate logic, and the established statistical classifier C5. O. Our results indicate that DOMdiff is suitable to large-scale change identification and that entropy based statistical classifiers are more accurate than our simple predicate-based classifier for the problem at hand, but require a larger decision tree. We additionally identify a shortcoming of PRank when handling features with low information gain/high entropy.

关键词： web crawling change monitoring document object model machine learning

来源：评论

学校读者我要写书评

暂无评论

Authenticate Users with Their Work on the Internet 4

Authenticate Users with Their Work on the Internet

引用

4th International Conference on Information Technologies in Engineering Education (Inforino)

作者： Khorev, P. B. Natl Res Univ MPEI Dept Appl Math Moscow Russia

ISBN: (纸本)9781538658321

Examines the shortcomings of existing methods of user authentication when accessing remote information systems. Proposed method of multi-factor authentication based on validation of knowledge of a secret password and verify that the habits and preferences of Internet user's interests, defined by registration in the system. Identifies the language and tools implementation of the proposed authentication algorithm.

关键词： user authentication remote access document object model classification of text documents

来源：评论

学校读者我要写书评

暂无评论

A Formal Semantics of the Core DOM in Isabelle/HOL 18

A Formal Semantics of the Core DOM in Isabelle/HOL

引用

27th World Wide Web (WWW) Conference

作者： Brucker, Achim D. Herzberg, Michael Univ Sheffield Dept Comp Sci Sheffield S Yorkshire England

ISBN: (纸本)9781450356404

At its core, the document object model (DOM) defines a tree-like data structure for representing documents in general and HTML documents in particular. It is the heart of any modern web browser. Formalizing the key concepts of the DOM is a prerequisite for the formal reasoning over client-side JavaScript programs and for the analysis of security concepts in modern web browsers. We present a formalization of the core DOM, with focus on the node-tree and the operations defined on node-trees, in Isabelle/HOL. We use the formalization to verify the functional correctness of the most important functions defined in the DOM standard. Moreover, our formalization is (1) extensible, i.e., can be extended without the need of re-proving already proven properties and (2) executable, i.e., we can generate executable code from our specification.

关键词： document object model DOM Formal Semantics Isabelle/HOL

来源：评论

学校读者我要写书评

暂无评论

Privilege-Based Scoring System Against Cross-Site Scripting Using Machine Learning

Privilege-Based Scoring System Against Cross-Site Scripting ...

引用

International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES)

作者： Sunder, N. Shyam Gireeshkumar, T. Amrita Vishwa Vidyapeetham TIFAC CORE Cyber Secur Coimbatore Tamil Nadu India

ISBN: (纸本)9788132226567;9788132226543

The attacks on the users by exploiting the vulnerabilities of the browsers have increased at an alarming rate. The existing attack prevention strategies have failed miserably in most of the situations. Moreover, users have also not taken much care of configuring their browsers securely, using available extensions and plug-ins. This proposal puts forward an advanced XSS prevention technique by introducing a new scoring system for privilege levels and vulnerability levels of the contents rendered in the browser. The java scripts rendered in the browsers are stored, classified, and analyzed using machine learning algorithms. Machine learning can also be used to predict the browser quirks and generate an attacker pattern. The security mechanisms are also implemented inside the document object model (DOM) to check the execution of dynamic scripts.

关键词： Cross-site scripting Machine learning document object model

来源：评论

学校读者我要写书评

暂无评论

Browser Fuzzing by Scheduled Mutation and Generation of document object models 49

Browser Fuzzing by Scheduled Mutation and Generation of Docu...

引用

49th Annual International Carnahan Conference on Security Technology (ICCST)

作者： Lin, Ying-Dar Liao, Feng-Ze Huang, Shih-Kun Lai, Yuan-Cheng Natl Chiao Tung Univ Dept Comp Sci Hsinchu 300 Taiwan Natl Taiwan Univ Sci & Technol Dept Informat Management Taipei Taiwan

ISBN: (纸本)9781479986910

Internet applications have made our daily life fruitful. However, they also cause many security problems if these applications are leveraged by intruders. Thus, it is important to find and fix vulnerabilities timely to prevent application vulnerabilities from being exploited. Fuzz testing is a popular methodology that effectively finds vulnerabilities in application programs with seed input mutation. However, it is not a satisfied solution for the web browsers. In this work, we propose a solution, called scheduled DOM fuzzing (SDF), which integrates several related browser fuzzing tools and the fuzzing framework called BFF. To explore more crash possibilities, we revise the browser fuzzing architecture and schedule seed input selection and mutation dynamically. We also propose two probability computing methods in scheduling mechanism which tries to improve the performance by determining which combinations of seed and mutation would produce more crashes. Our experiments show that SDF is 2.27 time more efficient in terms of the number of crashes and vulnerabilities found at most. SDF also has the capacity for finding 23 exploitable crashes in Windows 7 within five days. The experimental results reveals that a good scheduling method for seed and mutations in browser fuzzing is able to find more exploitable crashes than fuzzers with the fixed seed input.

关键词： browser fuzzing black-box fuzzing vulnerabilities exploits mutation scheduling document object model DOM

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：