First, direct retrieval
Direct retrieval refers to the method of obtaining the required information through direct observation or experiment. The advantage of this method is that the information obtained is direct and reliable, but it needs a lot of manpower, material resources and time resources. For example, the geographical information of a certain area can be obtained through field investigation, and the chemical properties of a certain substance can be obtained through experimental research.
Second, indirect retrieval.
Indirect retrieval refers to the method of obtaining the required information through literature. The advantages of this method are high speed and low cost, but the quality and accuracy of information depend on the quality of literature and the author's observation. Common indirect retrieval methods include library query and Internet search.
Third, the application scenarios of direct retrieval and indirect retrieval
1, the application scenario of direct retrieval
In scientific experiments, in order to obtain the detailed information of the experimental object, it is often necessary to directly observe or experiment. For example, biological experiments need microscopic observation of cells, and chemical experiments need chemical reaction experiments of substances.
2. Application scenarios of indirect retrieval.
In academic research, in order to obtain research results or progress in a certain field, literature retrieval is often needed. For example, to write a paper, you need to search for relevant literature through the library or the Internet. When conducting market research or business analysis, it is necessary to know the products and market situation of competitors. At this time, you can search through the Internet or commercial databases.
Other retrieval methods
1, content retrieval
Based on the retrieval method of text content, the text is semantically analyzed and understood by natural language processing technology, and the information can be quickly located and obtained. Common application scenarios include search engines and intelligent assistants.
2. Data mining technology
The method of extracting useful information from a large number of data and discovering patterns and laws in data through data cleaning, cluster analysis and other technologies. Common application scenarios include financial risk control and market analysis.