What Is Web Intermediary (WBI)?

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Like a club's bouncer, a Web Intermediary (or WBI for short) monitors online activity. It's a business or group that mediates between users and the data they access online, ensuring a steady stream of curated content. It's like having a security guard at a club's entrance who checks everyone's identification and ensures they follow the rules before letting them in. A WBI can function as a content filtering, blocking, and monitoring service and a hub for user-generated online material. WBIs can prevent users from accessing malicious or inappropriate content, such as pornographic or illegal material. It can also create a protected environment for online transactions, communications, and entertainment. By preventing users from accessing pirated content and sites that break copyright laws, WBIs can also aid in protecting the rights of copyright holders. Common examples of user-generated content hosted on WBIs include social media, discussion forums, and video-sharing sites. Tools for flagging, reporting, and removing objectionable content can also be available. WBIs can help the internet run more smoothly by providing caching and content delivery services, which can reduce wait times for users. WBIs are governed by rules designed to safeguard their users and those who make content for them. The General Data Protection Regulation (GDPR) of the European Union and the Digital Millennium Copyright Act (DMCA) of the United States are examples. #WBI #WebIntermediary #ContentRegulation #ContentModeration As an analogy, think of a Web Intermediary (or WBI for short) as a "club bouncer" for the online world. It's a business or group that mediates between users and the data they access online, maintaining quality standards and preventing abuse. WBIs can serve as a hub for user-generated content and filter, block, and monitor online activity. It can improve the speed of the internet by caching and delivering content to users' devices, shielding them from malicious or inappropriate content, and safeguarding the rights of copyright holders. In addition, they are governed by rules and regulations designed to protect both users and creators of content.

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Related Terms by Data Management

Data Vaulting

Data vaulting is like having a super-secret, ultra-safe subterranean vault to keep your precious data. A data vault is used to preserve valuable data in the same manner as a traditional vault to store valuable items such as gems and money. In the field of computer science, "data vaulting" refers to the practice of backing up and storing data in an off-site location that is both safe and distant. This helps to secure the data against calamities such as fire or water as well as theft, much like a vault protects precious things from theft and other threats. Data vaulting's "off-site storage" is crucial. Off-site storage is like storing essential assets in a vault in a distant city from where they are used. This helps safeguard the data from calamities that may occur locally and minimizes the likelihood of losing data. The phrase "incremental backup" is another significant and crucial technical buzzword. Instead of backing up the complete data set, incremental backup copies only the parts of the data that have been modified since the last time it was backed up. This helps save time and storage space, just as you only need to store newly valuable goods in the vault rather than all of the items each time, similar to how you only need to store freshly valuable items in the vault. Safeguarding data in a data vault is an essential part of any disaster recovery and business continuity strategy. Data vaulting helps safeguard precious data in the same way as a vault protects valuable objects. This enables businesses to swiftly recover from disasters and reduces the amount of downtime they experience. Consequently, consider using data vaulting to ensure your sensitive information's safety! It is comparable to possessing a top-secret, extremely secure, underground vault for sensitive data, replete with off-site storage and incremental backups. Have faith in us; your data will be grateful.

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Data Brokering

Data brokering has hit the big time. It's creating buzz, controversy, and even a few scandals as companies mine and sell information about how people spend money. Don't you have to hand your wallet to a data broker? There are many ways to Defense yourself from these businesses who want your information and earn profits from it later. Data brokering is a collaborative process involving the right data sets to address a business problem. It requires expertise, domain knowledge, and the ability to navigate different datasets to find the ones that have the information needed to solve a particular issue. It may require data cleansing to make the information most valuable and easily understood. Providers make their data available to other businesses in the data brokering model. Data consumers can search for data that meets their requirements. Once the information is selected, it is downloaded and used for a specific business objective. Data brokering is a collaborative process across industries, countries, and cultures. Companies that offer data to other businesses are called data brokers. Data brokers must consider the laws and regulations that apply to their data. They must also consider the technical requirements of the data consumers using different systems and technologies. Data brokers must also create a system that enables other businesses to access their offered data. Data brokering is not a one-time process; it is an ongoing process that requires continuous updating and maintenance. The report then provides examples of data brokering, such as purchasing data from a pollster and selling it to a political campaign. The rest of the piece explores the implications of data brokering for businesses and consumers and some real-life examples of data brokering in practice. Most of us must realize how much our data is collected, sold, and used by companies to formulate targeted advertising. A glimpse into the lucrative world of data brokering illustrates how much information about us is being bought and sold.

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Digital Video Broadcasting-Satellite Second Generation (DVB-S2)

There is a new standard in town, and the digital standard is here to stay. Digital Video Broadcasting-Satellite Second Generation (DVB-S2) has been around since 2003, and it's finally picking up steam with broadcasters and consumers alike. Its predecessor, DVB-S (the first generation of satellite digital television), debuted in the mid-'90s and was formally adopted in 1998 by the European Telecommunications Standards Institute (ETSI). Now we're moving on to the next generation of digital broadcasting: DVB-S2. What makes this new technology so unique? It's not just faster than the old one; it's also more reliable and flexible. You can expect higher data rates, better channel capacity, improved error correction capabilities and, most importantly, better picture quality! The DVB-S2 standard provides specifications for delivering high-definition and ultra-high-definition television (HDTV and UHDTV) video and audio over satellite and cable networks in the form of a standardized "satellite box" or set-top box or a high-end residential gateway. The standard is designed to be extensible to deliver new services such as 3G/ LTE mobile, IPTV, and OTT content. The DVB-S2 standard was ratified by the ETSI in March 2005 and published in October of that year. The measure was expected to be implemented in equipment by manufacturers in the second quarter of 2006. The DVB-S is like the first-generation iPhone. It was revolutionary, changed everything, and everyone wanted to get their hands on it. Then, after about a decade of using that same old technology, we were ready for something new: the second-generation iPhone with the glass screen and facial recognition that makes all your friends jealous when they see you using it. The DVB-S2 is beautiful, sleek, and fast like that second-generation iPhone. The only problem is that it needs to be entirely out (like the second-generation iPhone).

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Trending Definitions

Multidimensional Database Management System (MDBMS)

What is a multidimensional database management system? Well, it's kind of like a regular database, only not. It's more like a data cube—a cube of data—that you can look at from all different angles. You can see the top-down view and the side-view, and you may want to go into the third dimension. And then, once you're there, you can see the fourth dimension and so on. A multidimensional database management system is a DMS that uses data as an idea to constitute multiple dimensions of data available to users. This database is optimized for data warehouses and online analytical processing applications. The idea behind an MDDBMS is to provide users with the ability to look at data from multiple perspectives. In other words, you can see different things based on what you are looking at. For example, if you want to see how much money your sales team made last year, there will be one way of counting that number. But what if you wanted to see how much each sales representative made? You would need a different way of measuring that number because there would be more than one way to do it. Multidimensional Database Management System (MDBMS) are often used in business intelligence applications because they allow users with access permissions to run queries against their databases without needing any technical knowledge. about how they built their databases or what kind of queries need to be run for them to get the information they need for their business processes to work correctly". Multidimensional database management systems are like chocolates: you never know what you'll get. In this case, you will get a box of data optimized for warehouse and OLAP applications. The idea behind multidimensional databases is that you can store multiple data dimensions in one place, so users don't have to jump from one database to another when they need information from different perspectives. It's a database management system with a twist—and if you've ever had to work with a bunch of other methods for multiple projects, then you're probably going to love it!

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Turing Test

The Turing Test is like a game of deception for computers! It tests a machine's ability to exhibit intelligent behavior indistinguishable from a human's. It was first proposed by Alan Turing in his 1950 paper "Computing Machinery and Intelligence" to determine if a machine can truly be considered "intelligent." Imagine you are in a room with a computer and a human, both of whom you can communicate with through a chat interface, but you need to know which is the computer and which is the human. If you can't tell the difference between the two, the computer passes the Turing test. The test is based on the idea that if a machine can successfully imitate human behavior, it can be considered to have human-like intelligence. The test does not measure the machine's intelligence directly but rather its ability to mimic human intelligence. The Turing test has been widely discussed and debated in the fields of artificial intelligence (AI) and cognitive science, as well as in philosophy and ethics. Critics argue that the test is too focused on human-like intelligence and does not consider other forms of intelligence that a machine might have. Despite its flaws, the Turing test is still widely used in AI research and development. It has been used to measure the progress of AI and determine if a machine has reached a certain level of intelligence. In summary, the Turing Test is a test of a machine's ability to exhibit intelligent behavior that is indistinguishable from that of a human. Alan Turing first proposed it in 1950 as a way to determine if a machine can truly be considered "intelligent." The test is based on the idea that if a machine can successfully imitate human behavior, it can be considered to have human-like intelligence. Despite its flaws, the Turing test is still widely used in AI research and development.

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Boolean Algebra: What Is It? As a mathematical subfield, logic concerns logic operations and binary numbers. In other words, it's a puzzle game in which you must use various logic gates to perform operations on binary values to achieve your goals. However, you need not be a math whiz to grasp the concepts of Boolean Algebra. Once you get the hang of it, you'll see how easy it is. True and false statements, denoted by the numbers 1 and 0, are the foundation of Boolean Algebra. Here's an example: "the sky is blue" and "the grass is green" are two statements. To use Boolean Algebra, you would convert these statements into binary values (1 for true, 0 for false). As such, we can express "the sky is blue" as the number 1 and "the grass is green" as the number 0. Let's pretend you want to use a logical operator to join these two statements. In Boolean Algebra, AND, OR, and NOT are the three fundamental logical operators. If both conditions are met, then the entire statement is true. If an OR statement is made, the first or second statement must be true for the entire statement to be correct. As the NOT operator reverses the meaning of a statement, it can transform a true statement into a false one or a false statement into a true one. Therefore, since only one of "the sky is blue" and "the grass is green" is true, combining them using AND would result in a false statement. If you used OR instead, the entire statement would be true because at least one of the conditions is met. However, Boolean Algebra is not limited to the union of binary expressions. Complex logic circuits and digital systems are also designed using it. Boolean Algebra is used in some capacity by every digital electronic and computer system. So how does Boolean algebra function in digital systems? It employs "logic gates," physical circuits for logical operations on binary values. The AND, OR, NOT, XOR (exclusive OR), and NAND gates are just a few examples of the many varieties of logic gates (NOT, AND). Each logic gate performs a logical operation on its binary inputs and returns a corresponding binary output. For instance, if both inputs to an AND gate are 1, the output will also be 1. If either input is 0, then the work will be 0. Yes, but there's more! Applications of Boolean Algebra can be found in computer science, database design, and AI. Like a secret weapon, it helps engineers and programmers overcome challenges and produce groundbreaking innovations.

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