A Survey On Data Annotation For Web Databases

Launched on 15 January 2001, Wikipedia is a free encyclopedia that uses the web platform for online users to access. Boasting with over 26 million pieces of writing in 285 languages, Wikipedia has transformed to be a giant in the field of search engines optimization technology. The open source concept that it rides have made it cheap to access and a better choice for many online users. This is especially among the users who find it cumbersome to follow prolonged registration processes to access information on the internet. Any search term queried on the Google™ home page search engine will definitely give a hit from the Wikipedia site, and if not present, a prompt will request the user to create a page for such a term. In this way,

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

This section discuss about the common traits or ideas observed in the three research topics. Although, each of the three articles discuss a unique idea, all of them are aimed at utilizing the web data to produce better results. Web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilization of the valuable user generated data from the social media or the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by an individual. All the three articles propose an idea to solution the problem stated, compared their results to the existing models and showed significant improvement.

Here we discuss about the common traits or ideas observed in the three research topics. Although, these three papers discuss about different ideas, they all fall under the web data mining domain. web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilisation of the valuable user generated data from the social media or the the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by the individual.

With the advent of computer technology in 1990’s the need to search large databases was increasingly becoming vital. The search engines prior to PageRank had limitations, the then most widely used algorithm used text based indexes to provide search results on World Wide Web however had limitations of improper search results as the logic used by the search engines looked at the number of occurrences of the search word in webpage which sometimes resulted in improper search results. Another technique used during the time was based on variations of standard vector space model – i.e. search based on how recent the webpage was updated and/or how close the search terms are to the

Ultimately, I think this is the direction the semantic web will take – better database indexing, greater understanding of synonymous terms/phrases by search engines, and personalized recommendations based on user trends.

Illich is making a bold proposal: he wants to follow the example of the U.S. in abolishing the governing of churches by government by separating school from state. One way to implement this proposal would be to forbid employers from evaluating candidates for jobs according to where they went to school.

Through the methodology proposed, we aspire to achieve a more efficient technology for generating keywords and finding more accurate data from the search engine. By saving physical memory and storing only what is important rather than all the data from a random website. Also, due to this we may achieve faster response time. So, here we can conclude that the proposed system may be more better than the previous systems

I made changes in the wording of the instructions so that they read more like soft commands than hard commands. I also removed all of the extraneous wording so that each step is short and to the point.

Based on chapter 9, annotation is summing up the information in my text by briefly writing the key ideas in the margin. I have to annotate because annotation encourages me to process the information and think about it. It helps me to manage the amount of information I need to read. It also helps me to decrease information by 50 percent or more, and it helps me to reorganize the information in a way that make the information easier for me to remember. Annotation helps me to identify topics and support ideas.To annotate, I have to read a chapter and then think about what would be important if I am going to make a presentation, and I also need to read at least three or four paragraphs in order to take note. In addition, I have to write my annotation

It was not hard to find a job as a PA but it depends on each person’s values and requirements in the job category, it may take longer to find a good suitable place to work. She thinks that it is important to find a good fit with team members, or establishments and clinical setting. The jobs are available and PAs are interviewed for most of them depending on their background and experience or desire to learn new skills. She applied to six jobs across the country and had four interviews out of those. She was a military medics and worked as a PA in an urban setting in CA before her present job. Her application was viewed as no experience in surgery but it was important to know that she could make independently medical decisions and had a good judgment and they were looking for her confident in her medical abilities.

There are two memory strategies mentioned in the book that I have already been using:

Destinations, for instance, Delicious, Digg, Slashdot, Diigo, Stumbleupon and Reddit are standard social bookmarking districts used as a piece of internet systems administration headway. Each of these regions is focused on the collection, curation, and relationship of associations with various destinations. This strategy is crowdsourced, allowing people to sort and compose joins by significance and general order. As a result of the considerable customer bases of these locales, any association beginning with one of them then onto

However, targeted advertising has raised new questions on privacy since it must collect user’s information in order to publish advertisement. When a consumer visits a website, every page they view, the time spent on each page, the new pages they click on and how they interact with the server, allow browsers to collect that data. Analyzing from the technology used in behavioral targeting advertising, web browsing history will be tracked and sent to web server. In order to best select advertisements to display, data mining and machine learning theory will be implemented for analyzing users’ behavior (Korolova 2010).

Ontology contains a set of concepts and relationship between concepts, and can be applied into information retrieval to deal with user queries.