Searching for Knowledge and Expert Opinions

In the process of seeking knowledge and truth, sometimes virtual experts may provide advice and guidance that is not substantial, useless (if not educated) in their virtual specialty field. In most cases, virtual experts are not real experts. An expert is a specialist who has a high level of knowledge and skill in a specific field and is seeking so many experiences, training and learning, advising in a specific field, guidance, and wisdom is. A person who does not have advanced knowledge and skills in a specific field.

Experts in a particular field, mature technology or research experience is a great guide for seeking knowledge, but expert opinion will almost certainly prevent or hinder people from pursuing knowledge. The essence of opinion will definitely challenge the above three factors related to knowledge retrieval. Most definitions of the word "opinion" have the same characteristics in dictionaries, and "beliefs", "personal opinion" and "estimation" are the most commonly used phrases and word lists.

The role of experts is changing. Today's knowledge is no longer based on the opinion of a few experts. Because it was once the generation of human civilization. As the definition of experts is knowledge of the surrounding people and as the education becomes more common, the importance of experts is decreasing as the gap between "ordinary" people and experts is shrinking I will. However, when judging the importance of expert opinion, it is important to consider the area of ​​knowledge. For example, experts are very important in science, where knowledge is determined by well-educated and experienced scientists who have been educated for years. However, in the field of art, expert opinion is relatively unimportant, as art is subjective and open to different interpretations.

Non-experts have abundant opinions and low quality. Experts have few opinions and quality is high. Through crowdsourcing, opinions other than experts can be valuable. The opinions of experts are beginning to evolve as well. Experts are scalable through data availability and machine learning. When experts make decisions and analyze, we use observable data. As more data emerges, experts are training machine learning algorithms to interpret their meanings accurately. This is very important for the knowledge field where the population is not limited. Crowdsourcing is not a substitute for medical diagnosis (imagining why the Internet community is vandalizing someone is unable to assess the water quality of developing countries).