Designing A School Site : Html Structure Based Hunt Interfaces Essay

The first versions of WWW ((what most people call “The Web”))) provide means for people around the world to exchange information between, to work together, to communicate, and to share documentation more efficiently. Tim Berners-Lee wrote the first browser (called WWW browser) and Web server in March 1991, allowing hypertext documents to be stored, fetched, and viewed. The Web can be seen as a tremendous document store where these documents (web pages) can be fetched by typing their address into a web browser. To do that, two im- portant techniques have been developed. First, a language called Hypertext Markup Languag (HTML) tells the computers how to display documents which contain texts, photos, sounds, visuals (video), and animation, interactive

My paper focuses on a security assessment of Quality Web Design (QWD), which is a very successful company that is well-known for its magnificent and appealing websites; they work

By examination of the most frequently visited web-sites, and although a historical approach with reference to print in design.

Understand how search engines crawl and compile data on the Web and know what documents (html files) relate to which keywords and phrases.

The paper Semantic Web talks about how the machine can be more intelligent when accessing web data. It involves making a machine understand the semantics of the data present on the web and also making them understand the human perspective. The research first tries the basic requirement outlines for the semantic web. Like the creation of ontologies and different relationship using which a machine can learn the context. The paper then discusses the creation of agents which takes advantage of the semantic web technology and gives a more personalized output to the user. In the paper the author has taken few real life examples is setting the benchmark requirements of the semantic web.

The contribution of this paper includes automation and scheduling, transformation of data, and how the extracted data are being used. Web Data Extraction techniques helps in processing large volumes of data within a short time. In Web Data Mining, the technique can be used to discover novel, and potentially useful patterns from various large data sets as well as applying algorithms to the extraction of hidden information.

Data mining techniques can be mainly divided into three categories: Web structural mining, Web Content mining and web usage mining. Web structural mining is used to discover structure from data available on web like hyperlinks and documents. It can be helpful to the user for navigating within documents as mining can be done to retrieve intra and inter hyperlinks and DOM structure out of documents. Web Content mining can be used to extract information from the data available on web like texts, videos, images, audio files etc. Web usage mining is the application of data mining techniques to discover interesting usage patterns from web usage data, in order to understand and better serve the needs of web-based applications (Srivastava, Cooley, Deshpande, and Tan 2000). Websites or usage data takes user’s available information and browsing history, location of user etc. as input for mining information. Web usage mining can be further divided into three categories depending upon the type of data used for mining: web server logs, application server, application level logs. Web usage mining can be highly helpful in mining the data for web applications and thus helping development in fields like E-Commerce. It can be helpful to discover usage patterns from Web data, thus helping serve better the needs of Web-based applications. Web usage mining can be categorized into three different phases: Preprocessing, Pattern Discovery and Pattern Analysis. I believe, this

Due to the rapid advancement of the information technology, the World Wide Web (WWW) has now become a multifunctional tool. People can get lots of things done through the Internet, chatting with friends through MSN, shopping on Amarzon.com, settling the credit card bill, making new friends through the Facebook, reading newspaper on appledaily.com, etc. Besides, when we want to search for information, we can simply “Google” it, and we get what we want. It is no doubt that the Internet has greatly sped up the flow of information.

The recent years have seen a huge increase in the number of online documents. This has resulted in a huge amount of information being available at the click of a mouse. But, at the same time, the retrieval of relevant information from this collection of unstructured documents has emerged as a challenging task and is a topic of research. A major part of retrieving information out of a document is finding out the words or phrases of significance in the article like the persons, organization, location,

generalized web sites where you have to enter URL of the site, which first extracts the content then generates summary as well as keywords as shown in figure 14 and 15.

This section discusses text mining and Web mining that are taking on significance as more data and information is stored in text documents and on the Web. Web mining is divided into three categories: content mining, structure mining, and usage mining. Each one provides specific information on patterns in Web data.

The Internet creates lots of difficulty and challenges for retrieving information from web pages. It is huge, containing over 200 million web pages with many more appearing every day. Compounding the matter is the fact that web pages are very distinct in content, ranging from puppies to scientific papers

Keeping in mind the end goal to encourage quick and precise data recovery, Search engine indexing gathers, parses, and stores information. As the Web continues growing, the quantity of pages filed in a web crawler increments correspondingly. With such a substantial volume of information, finding applicable data fulfilling client needs in light of basic inquiry questions turns into an

The wide adoption of the Internet has fundamentally altered the ways in which user communicate, gather information, conduct businesses and make purchases. As the use of World Wide Web is increasing, data on internet is increasing. A few sites consist of millions of pages, but millions of sites only contain a handful of pages. Few sites contain millions of links, but many sites have one or two. Millions of users flock to a few select sites, giving little attention to millions of others. The expansion of the World Wide Web (Web for short) has resulted in a large amount of data that is now in general freely available for user access. The different types of data have to be managed and organized in such a way that they can be accessed by different users efficiently by the search engine.

One of the ranking factors is how relevant can be your content which represents your web page according to Google and Bing Page Rank functions. The basic Search Engine techniques for the content, that can be HTML code. Most of the web pages might not use an appropriate structure of HTML code [Extra 15], so when a user search a query those web sites can not show as a results on Google. Because the keywords can not occur in URL and meta tags, the web site is not a result. It can be part of the results for specific keywords if the web site content has the query 's keywords. Furthermore, the editor of the web page has to add new keywords or phrases on web page, for optimizing the web site position on search engine results page. Additionally, mobile applications are tend to using for search, so I will build a mobile application which provide keywords idea based on specific Search Engine techniques and Information Retrieval algorithm.