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What are examples of web based systems?
There are many examples of web based systems. Some common examples as of May 2014 include online retail stores, online web email, and online auctions.
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System Base: You have to be at your computer to use the email on that computer. Web: You can log in to any computer in the world and check your email. (less security though)
Any system that is needed web browser or internet connection could be categorized into web based system like websites, skype, messenger etc. WEB API is also a part of web base…d development.
Knowledge-Based Systems A knowledge-based system is a computer program that reasons and uses knowledge to solve complex problems. Traditionally, computers have solve…d complex problems using arithmetic algorithms created by programmers. With knowledge-based systems, human knowledge is captured and embedded explicitly within a program in a symbolic format. Expressing knowledge as rules and heuristics has two particular advantages over previous software development technology. Not only can explicit knowledge be trapped in the computer, but so can implicit knowledge, which is useful and potentially very profitable. The other advantage is that knowledge that exists in the form of rules can be captured in that form, without having to be converted by teams of analysts and programmers into data definitions and procedures. Types of Systems One way that knowledge-based systems can be classified is by the kind of conclusions they produce. Some interpret the available evidence and produce diagnoses-for example, to explain the reason for a machine breakdown. Others interpret the available evidence but offer a prediction, such as the likelihood of a particular applicant for a loan becoming a slow-payer or a defaulter. Some systems address design questions, proposing the form or layout of a product or the configuration of components. Some are related to industrial engineering matters such as the procedure for assembling the components. However, not all knowledge-based systems are so ambitious. Many merely use the captured rules to determine to which class a particular example belongs. For example, a system might determine whether a particular person is, or is not, entitled to a particular government benefit, an entry visa, or permanent residence. Development Techniques During the development of a knowledge-based system, knowledge is extracted from one or more domain specialists, or people who have specialized knowledge in the relevant domain. The knowledge is commonly expressed in the form of antecedent-consequent (IF THEN) rules. In some cases it may be possible for the domain specialist to feed the knowledge directly into the system, but usually an intermediary knowledge engineer captures it using supporting software. Once the system is developed, a user consults it to find information about some event or situation within a problem domain. The software draws inferences by applying the explicit rules elicited by the expert and the more general implicit rules derived by the system. A result is provided to the user in the form of a diagnosis, prognosis, recommendation, or decision, depending on the nature of the application. In addition, the user may request an explanation of the argument the software used to reach its conclusion. Knowledge-based systems usually contain three components: a human-computer interface , a knowledge base, and an inference engine program. The human-computer interface is where the user formulates queries, which the knowledge-based system uses to solicit further information from the user and explain to the user the reasoning process employed to arrive at an answer. The knowledge of one or more human experts in a specific field or task is stored in the knowledge base. The knowledge base is set up as an intelligent database-it can usually manipulate the stored information in a logical, natural, or easy-to-find way. It can conduct searches based on predetermined rules of defined associations and relationships, as well as by the more traditional data search techniques. The knowledge base is usually made up of factual knowledge, and sometimes even heuristic knowledge. Factual knowledge consists of information that is commonly shared, found in textbooks or journals, or agreed upon by humans knowledgeable in a specific field or task. Heuristic knowledge, on the other hand, is experiential knowledge of performance; it is the knowledge behind an educated guess. The inference engine of an expert system is usually set up to mimic the reasoning, or problem-solving ability, that the human expert would use to arrive at a conclusion. The inference engine simulates the evaluation process of relating the information and rules in the knowledge base to the answers to a series of questions given by the operator. Following this model, an expert system will receive propositions, or answers to a certain line of questions, and then try to use its inference engine to process the information into rules. It will compare the propositions to the facts and rules registered in its knowledge base. Current and Future Uses The primary goal of knowledge-based systems is to make expertise available to decision-makers who need answers quickly. Expertise is often unavailable at the right place and the right time. Portable computers loaded with in-depth knowledge of specific subjects can bring years' worth of knowledge to a specific problem. The first knowledge-based or expert system, Dendral, was developed in 1965 by Edward Feigenbaum (1936-) and Joshua Lederberg of Stanford University in California and was used to analyze chemical compounds. Since 1965, knowledge-based systems have enhanced productivity in business, science, engineering, and the military. They also attempt to predict the weather, stock market values, and mineral deposit locations; give a medical diagnosis; dispense medication; and evaluate applications and transaction patterns. Knowledge-based systems appear to have a great deal of potential, but they also face some challenges. These include the shortage of knowledge engineers with necessary skills; the relative immaturity of many of the available tools; and overly specific problem domains. Most knowledge-based systems deal with very specific problem domains, and therefore do not undertake or support a complete activity, but rather one or two tasks within a sequence or cluster of tasks. The benefit that such software offers is not necessarily to automate the process completely and cut costs drastically, but to assist the user to complete the activity faster, somewhat more cheaply, and probably more accurately. see also Artificial Intelligence; Neural Networks. William J. Yurcik Bibliography Gonzalez, Avelino J., and Douglas D. Dankel. The Engineering of Knowledge-Based Systems: Theory and Practice. Englewood Cliffs, NJ: Prentice Hall, 2000. Ignizio, James P. An Introduction to Expert Systems: The Development and Implementation of Rule-based Expert Systems. New York: McGraw-Hill, 1991. Jackson, Peter. Introduction to Expert Systems, 3rd ed. Reading, MA: Addison Wesley International Computer Science Series, 1999. Stefik, Mark J. Introduction to Knowledge Systems. San Francisco: Morgan Kaufmann, 1995.
Technically, the term Web-Based system refers to those applications or services that are resident on a server that is accessible using a Web browser and is therefore acc…essible from anywhere in the world via the Web.
A web based system is one that can be accessed via a web browser and typically off-site or off of the network that you are currently on. The new generation of web based system…s are known as "cloud based". Cloud based systems or cloud computing is just an efficient way to manage and utilize hard drive space allocating it as needed. It allows companies to scale their computer requirements up or down almost instantly. The new breed of web based systems also includes what is know as software as a service or SaaS. As internet speed and technology improves all software will be moved onto the web or "cloud based". There will no longer be a need to buy and install software locally or worry about different versions or reinstalling the correct version in the event of a catastrophe. Filocity.com has built this platform today. MS Office and PDF documents can be created, edited and shared online with no need to worry about your computer or hard drive failing. You can work locally or online and all of your files are safely stored with version controls to insure you are working on the latest document. This will become the standard for all web based systems
Google Calendar and Google Documents are examples of web-based applications (meaning they run completely inside your browser)
SQL server oracle DB2 MYSQL
List of four main programming language used in web based application : PHP (Hypertext Preprocessor)ASP.NetJSP (Java Server Pages)Perl
Any aplication made to be used as a tool to improve the work experience that doesn't require any downloads. Examples: Google Calendar, Zoho Documents, Grooveshark, Google …Notebook.
Specific types of clients include web browsers, email clients, and online chat clients.
manual and computer-based information systems?
Windows: Everything is presented to user graphically * Mac OSX * Linux running xWindows
MYSQL - a freely distributed DBMS Microsoft SQL Server - the product of old-brand Microsoft Oracle - a strong and powerful DBMS, which is normally used by larg…er enterprises nowadays.
i converted over to linux mint 12 a while back from windows, i tried a few others like chrome os, ununtu, and some others. but this os seems to the best. and hardley takes u…p any space.
A non-web based system might be a stand-alone system or a desktop based system which might also be referred to as an native application for a specific operating system.