#knowledgeengineering

[engineers-heaven]

🧠 Learn how Ontology Engineering structures knowledge for intelligent systems and the Semantic Web.

[symbiosisonlinepublishing]

𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Software development is at the core of computer science. Developers create applications, operating systems, web services, and mobile apps using programming languages and development tools.

𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Data science involves collecting, processing, and analyzing large datasets to extract valuable insights. It is used in various domains, including business, healthcare, finance, and scientific research.

Visit: https://symbiosisonlinepublishing.com/computer-science.../

[emilycarablog]

What is Knowledge Engineering in AI?

Knowledge engineering is one of the building blocks of artificial intelligence (AI). It attempts to emulate the judgment and behavior of a human with expertise in a field or domain. In this lesson, we'll define knowledge engineering and its processes, understand where it fits within the AI landscape, and provide real-world examples of its application.

Imagine an education company wanting to automate the teaching of children in subjects from biology to computer science (requiring to capture the knowledge of teachers and subject matter experts) or Oncologists choosing the best treatment for their patients (requiring expertise and knowledge from information contained in medical journals, textbooks, and drug databases).

Knowledge Engineering is the process of imitating how a human expert in a specific domain would act and take decisions. It looks at the metadata (information about a data object that describes characteristics such as content, quality, and format), structure and processes that are the basis of how a decision is made or conclusion reached. Knowledge engineering attempts to take on challenges and solve problems that would usually require a high level of human expertise to solve. Below Images illustrates the knowledge engineering pipeline.

Read Full Article @ https://study.com/academy/lesson/knowledge-engineering-in-ai-definition-process-examples.html

[symbiosisonlinepublishing]

𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Computer scientists and IT professionals develop software, which are the programs that run on computers. Software can be used for a variety of purposes, such as word processing, spreadsheets, and games.

𝐇𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Computer scientists and IT professionals design and build computer hardware, such as processors, memory, and storage devices.

Visit: https://symbiosisonlinepublishing.com/computer-science-technology/