Komilov Asroriddin
Yüklə 30,88 Kb.
|
1 2
Komilov Asroriddin.docx CSE315
Note that the term "Web 4.0" is not an official term and is not widely accepted, but is sometimes used to describe the current state of the Web. Q7. 1. International Organization for Standardization (ISO) - ISO is a non-governmental organization that develops and publishes international standards for various industries and services. ISO 9001 is the most widely recognized standard for quality management systems, and ISO 27001 is a standard for information security management systems. 2. Service-Oriented Architecture (SOA) - SOA is a software architecture style that allows different applications to communicate with each other by using web services. It enables organizations to develop flexible and scalable systems that can be easily integrated with other systems. 3. Information Technology Infrastructure Library (ITIL) - ITIL is a set of best practices for IT service management. It provides a framework for managing IT services, including service strategy, design, transition, operation, and continuous improvement. 4. Open Service Provisioning Markup Language (OSPM) - OSPM is an XML-based protocol for automating the provisioning of services. It enables service providers to automate the process of setting up and configuring services for their customers. 5. Service Level Agreements (SLAs) - SLAs are agreements between service providers and their customers that define the level of service that will be provided. They typically include metrics such as uptime, response time, and resolution time. 6. Cloud Computing Standards - Cloud computing standards are a set of guidelines and best practices for cloud computing. They include standards for interoperability, security, privacy, and data management. 7. Web Services Description Language (WSDL) - WSDL is an XML-based language for describing web services. It provides a standardized way for applications to communicate with each other by defining the interface, operations, and parameters of a web service. Q8. As an AI language model, I do not have the context to what specific "stack" you are referring to. However, in general, technology stacks typically utilize multiple levels of abstraction, including: 1. Hardware abstraction: This level deals with the physical components of the system, such as processors, memory, storage, and network interfaces. 2. Operating system abstraction: This level provides an interface between the hardware and the software applications, allowing them to communicate with the hardware resources. 3. Middleware abstraction: This level includes software components that provide services such as messaging, caching, and database access, abstracting away the complexity of these services from the application layer. 4. Application framework abstraction: This level provides an abstraction layer for the development of applications, providing basic functionality and structure for the application. 5. Application logic abstraction: This level deals with the actual business logic of the application, abstracting away the details of the underlying technology stack and providing the functionality needed for the application to perform its tasks. Q9. 1. Inability to understand context: Keyword-based search engines often struggle to understand the context behind the words being searched, which means that users may receive irrelevant or inaccurate results. 2. Over-reliance on popularity: Such search engines often prioritize popular websites and pages over those that may be more relevant, reliable or informative. 3. Limited search scope: Keyword-based search engines are often limited in their ability to search for information beyond the text on a webpage. They may not be able to search for images, videos, or audio files. 4. Inability to handle synonyms: Keyword-based search engines may miss useful information if the user searches for a synonym or closely related term, rather than the exact term used on the webpage. 5. Vulnerability to SEO manipulation: Being algorithmic based, the search engines can be easily manipulated by search engine optimization (SEO) experts to rank their websites higher in the search engine result pages (SERPs). 6. Limited language support: The quality of search results may vary significantly depending on the language used in the search query. Keyword-based search engines may struggle to provide accurate results for languages other than English. 7. Inability to handle complex queries: Complex queries that require the search engine to understand multiple concepts or relationships between concepts may be beyond the capabilities of keyword-based search engines. Q10. 1. Information overload: The Internet and web technology provide vast amounts of information, which can be overwhelming to manage and process effectively. 2. Lack of context: Web-based information is often presented without context, making it difficult to understand its relevance or importance. 3. Difficulty in identifying reliable sources: The abundance of unverified information on the web makes it challenging to distinguish reliable sources from biased or inaccurate ones. 4. Limited search capabilities: While search engines are useful, they have limitations in terms of accuracy and relevance. 5. Inadequate collaboration tools: Collaboration tools available on the web are often limited in functionality, making it difficult to collaborate effectively in a knowledge management context. 6. Poorly structured data: Much of the data on the web is unstructured, making it difficult to analyze and use in a meaningful way. 7. Limited data security: The web is vulnerable to data breaches and cyber attacks, which can compromise sensitive information and undermine knowledge management efforts. 8. Limited customization: Web-based tools and platforms often have limited customization options, which can make it difficult to tailor them to specific knowledge management needs. Q11. B2B (Business-to-Business) and B2C (Business-to-Consumer) are two different business models that companies use to sell their products or services. B2B refers to businesses that sell their products or services to other businesses. In this model, the focus is on building relationships with other businesses and providing products and services that meet their needs. The sales cycle is usually longer and more complex, as businesses often require a more personalized approach and may require customization of products or services. B2C refers to businesses that sell their products or services directly to consumers. In this model, the focus is on building brand awareness and creating a positive customer experience. The sales cycle is usually shorter and less complex, as consumers are typically seeking convenience and speed in their purchases. Overall, the main difference between B2B and B2C is the target audience and the sales process. B2B companies sell to other businesses, while B2C companies sell to individual consumers. The sales process for B2B is typically longer and more complex, while the sales process for B2C is typically shorter and more focused on creating a positive customer experience. Q12. Explicit metadata is derived from an action by the user that creates an immediately identifiable piece of metadata. If you do things like: Rate a video on YouTube (you generate rating metadata); Rate a song in your music player library (you generate a metadata rating in your library); Add a vote for a site on Digg (Vote count metadata); or Enter log notes for a clip (Content or Logging metadata), then you’re generating Explicit metadata. Despite that, implicit metadata “indeed kicks explicit’s *ss.” Explicit metadata takes work. Explicit metadata requires observation and analysis: stuff computers are good at that bores humans interested in emotion and story. Yüklə 30,88 Kb. Dostları ilə paylaş:
|
1 2