A STUDYING OF WEB CONTENT MINING TOOLS

2020 ◽  
Vol 25 (2) ◽  
pp. 1-16
Author(s):  
Rasha Hany Salman ◽  
Mahmood Zaki ◽  
Nadia A. Shiltag

The web today has become an archive of information in any structure such content, sound, video, designs, and multimedia, with the progression of time overall web, the world wide web is now crowded with different data making extraction of virtual data burdensome process, web utilizes various information mining strategies to mine helpful information from page substance and web hyperlink. The fundamental employments of web content mining are to gather, sort out, classify, providing the best data accessible on the web for the client who needs to get it. The WCM tools are needful to examining some HTML reports, content and pictures at that point, the outcome is using by the web engine. This paper displays an overview of web mining categorization, web content technique and critical review and study of web content mining tools since (2011-2019) by building the table's a comparison of these instruments dependent on some important criteria

Author(s):  
G. Sreedhar

In the present day scenario the World Wide Web (WWW) is an important and popular information search tool. It provides convenient access to almost all kinds of information – from education to entertainment. The main objective of the chapter is to retrieve information from websites and then use the information for website quality analysis. In this chapter information of the website is retrieved through web mining process. Web mining is the process is the integration of three knowledge domains: Web Content Mining, Web Structure Mining and Web Usage Mining. Web content mining is the process of extracting knowledge from the content of web documents. Web structure mining is the process of inferring knowledge from the World Wide Web organization and links between references and referents in the Web. The web content elements are used to derive functionality and usability of the website. The Web Component elements are used to find the performance of the website. The website structural elements are used to find the complexity and usability of the website. The quality assurance techniques for web applications generally focus on the prevention of web failure or the reduction of chances for such failures. The web failures are defined as the inability to obtain or deliver information such as documents or computational results requested by web users. A high quality website is one that provides relevant, useful content and a good user experience. Thus in this chapter, all areas of website are thoroughly studied for analysing the quality of website design.


Author(s):  
Punam Bedi ◽  
Neha Gupta ◽  
Vinita Jindal

The World Wide Web is a part of the Internet that provides data dissemination facility to people. The contents of the Web are crawled and indexed by search engines so that they can be retrieved, ranked, and displayed as a result of users' search queries. These contents that can be easily retrieved using Web browsers and search engines comprise the Surface Web. All information that cannot be crawled by search engines' crawlers falls under Deep Web. Deep Web content never appears in the results displayed by search engines. Though this part of the Web remains hidden, it can be reached using targeted search over normal Web browsers. Unlike Deep Web, there exists a portion of the World Wide Web that cannot be accessed without special software. This is known as the Dark Web. This chapter describes how the Dark Web differs from the Deep Web and elaborates on the commonly used software to enter the Dark Web. It highlights the illegitimate and legitimate sides of the Dark Web and specifies the role played by cryptocurrencies in the expansion of Dark Web's user base.


Author(s):  
Dan Zhu

With the advent of technology, information is available in abundance on the World Wide Web. In order to have appropriate and useful information users must increasingly use techniques and automated tools to search, extract, filter, analyze and evaluate desired information and resources. Data mining can be defined as the extraction of implicit, previously unknown, and potentially useful information from large databases. On the other hand, text mining is the process of extracting the information from an unstructured text. A standard text mining approach will involve categorization of text, text clustering, and extraction of concepts, granular taxonomies production, sentiment analysis, document summarization, and modeling (Fan et al, 2006). Furthermore, Web mining is the discovery and analysis of useful information using the World Wide Web (Berry, 2002; Mobasher, 2007). This broad definition encompasses “web content mining,” the automated search for resources and retrieval of information from millions of websites and online databases, as well as “web usage mining,” the discovery and analysis of users’ website navigation and online service access patterns. Companies are investing significant amounts of time and money on creating, developing, and enhancing individualized customer relationship, a process called customer relationship management or CRM. Based on a report by the Aberdeen Group, worldwide CRM spending reached close to $20 billion by 2006. Today, to improve the customer relationship, most companies collect and refine massive amounts of data available through the customers. To increase the value of current information resources, data mining techniques can be rapidly implemented on existing software and hardware platforms, and integrated with new products and systems (Wang et al., 2008). If implemented on high-performance client/server or parallel processing computers, data mining tools can analyze enormous databases to answer customer-centric questions such as, “Which clients have the highest likelihood of responding to my next promotional mailing, and why.” This paper provides a basic introduction to data mining and other related technologies and their applications in CRM.


Author(s):  
Olfa Nasraoui

The Web information age has brought a dramatic increase in the sheer amount of information (Web content), in the access to this information (Web usage), and in the intricate complexities governing the relationships within this information (Web structure). Hence, not surprisingly, information overload when searching and browsing the World Wide Web (WWW) has become the plague du jour. One of the most promising and potent remedies against this plague comes in the form of personalization. Personalization aims to customize the interactions on a Web site, depending on the user’s explicit and/or implicit interests and desires.


2019 ◽  
Vol 8 (3) ◽  
pp. 5446-5448

These days, the development of World Wide Web has surpassed a lot with extra desires. Extraordinary arrangement of content reports, transmission records and pictures were reachable inside the web it's as yet expanding in its structures. Information handling is that the style of removing information's realistic inside the web. Web mining could be a piece of information preparing that identifies with differed examination networks like data recovery, bearing frameworks and artificial insight. The data's in these structures are very much organized from the beginning. This web mining receives a great deal of the date mining procedures to discover most likely supportive data from web substance. The ideas of web mining with its classifications were examined. The paper chiefly focused on the web Content mining undertakings along the edge of its procedures and calculations. In this paper we proposed AI calculation based order .SVM_BPM calculation grouped the web content information and thought about existing calculations our proposed arrangement calculation is high effective and less time calculation


2010 ◽  
Vol 108-111 ◽  
pp. 11-16
Author(s):  
Chun Lai Chai

Web mining aims to discover useful information or knowledge from the Web hyperlink structure, page content and usage log. Based on the primary kind of data used in the mining process, Web mining tasks are categorized into three main types: Web structure mining, Web content mining and Web usage mining. Following is what they do on Web Data Mining. This paper proposed a heuristic mining algorithm.


Author(s):  
Manoj Pandia ◽  
Subhendu Kumar Pani ◽  
Sanjay Kumar Padhi ◽  
Lingaraj Panigrahy ◽  
R. Ramakrishna

In recent years the growth of the World Wide Web exceeded all expectations. Today there are several billions of HTML documents, pictures and other multimedia files available via internet and the number is still rising. But considering the impressive variety of the web, retrieving interesting content has become a very difficult task.So, the World Wide Web is a fertile area for data mining research.Web mining is a research topic which combines two of the activated research areas: Data Mining and World Wide Web. Web mining research relates to several research communities such as Database, information Retrieval and Artificial intelligence, visualization.This paper reviews the research and application issues in web mining besides proving an overall view of Web mining.


10.28945/2972 ◽  
2006 ◽  
Author(s):  
Martin Eayrs

The World Wide Web provides a wealth of information - indeed, perhaps more than can comfortably be processed. But how does all that Web content get there? And how can users assess the accuracy and authenticity of what they find? This paper will look at some of the problems of using the Internet as a resource and suggest criteria both for researching and for systematic and critical evaluation of what users find there.


2001 ◽  
Vol 62 (3) ◽  
pp. 251-258 ◽  
Author(s):  
Susan Davis Herring

Although undergraduates frequently use the World Wide Web in their class assignments, little research has been done concerning how teaching faculty feel about their students’ use of the Web. This study explores faculty attitudes toward the Web as a research tool for their students’ research; their use of the Web in classroom instruction; and their policies concerning Web use by students. Results show that although faculty members generally feel positive about the Web as a research tool, they question the accuracy and reliability of Web content and are concerned about their students’ ability to evaluate the information found.


Author(s):  
Anthony D. Andre

This paper provides an overview of the various human factors and ergonomics (HF/E) resources on the World Wide Web (WWW). A list of the most popular and useful HF/E sites will be provided, along with several critical guidelines relevant to using the WWW. The reader will gain a clear understanding of how to find HF/E information on the Web and how to successfully use the Web towards various HF/E professional consulting activities. Finally, we consider the ergonomic implications of surfing the Web.


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