O Name

I heard Thy name in a nameless moment, By a fated second conspired by gods and stars. A javelin from the timeless pierced a timed instant, And my heart broods no more for the world and its wars. O…


独家优惠奖金 100% 高达 1 BTC + 180 免费旋转



Knowledge representation is the process of representing knowledge in a way that can be understood and processed by a computer system. It involves creating a structured model of knowledge that can be used to reason about the world and make decisions. The goal of knowledge representation is to enable a computer system to understand and reason about the world in the same way that humans do. This involves creating a formal language for representing knowledge, as well as developing algorithms and techniques for manipulating and reasoning with that knowledge. Knowledge representation is a key component of artificial intelligence and is used in a wide range of applications, including natural language processing, expert systems, and robotics.

The history of knowledge representation and reasoning can be traced back to ancient Greece, where the development of logic began. However, the field of artificial intelligence (AI) dedicated to representing information about the world, known as knowledge representation and reasoning (KRR), emerged in the 1970s. In 1971, the heuristic dendral program was developed for explaining empirical data, and in 1978, the politics automated ideological reasoning program was created. Since then, KRR has become a core component of AI and has been used in a wide range of applications, including natural language processing, expert systems, and robotics. Today, KRR continues to evolve and advance, with ongoing research and development in the field.

Domain modeling is the field in which the application of KR to specific domains is studied and performed.

The amorphous shape labelled Domain Knowledge refers to the knowledge possessed by the domain expert that must be encoded in some fashion. This knowledge is not well defined and is fairly difficult for others to access. The box labelled Meta-Model refers to the KR formalism, typically a KR language that will be used as the symbol level [Newell, 1982] for the machine representation of this knowledge. The box labelled instantiation refers to the process of taking the domain knowledge and physically representing it using the meta-model, this process is sometimes referred to as knowledge acquisition [Schoen, 1991]. The box labelled domain model refers to the knowledge-base that results from the instantiation, and the operational goals are typically not represented formally, but refer to the reason the domain model was built and what it will be used for.

Add a comment

Related posts:

How a Business Owner Should Understand Business Valuation

The motive to find the value of a business might range from buying/ selling business opinions, Business means Valuation Dubai raising capital through borrowings, Business Assets Valuation Dubai…

Knowledge Management

Everyone knows what it is like to start a new job and then spend the first few weeks learning the processes and procedures of becoming an effective worker in their new environment. Individuals new to…

Greed and an Ignorant Leadership

The UK high street for some time has been suffering with small businesses collapsing on a daily basis leaving shop units empty and derelict for long periods of time. Where I live, every other shop is…