What are the search fields in the full-text database of China National Periodical Network?

According to the introduction of the China National Periodical Full-text Data Base, the database contained the special issue of "Electronic Technology and Information Science". Therefore, the answer was B.

Common fields in database records include: 1. Date and Time Field: Used to store information such as date and time stamp. 2. Text Field: Used to store various text data such as novels, articles, emails, etc. 3. Numeric field: used to store various numerical data such as amount, score, resolution, etc. 4. String field: used to store various string data such as username, password, address, etc. 5. Boolean-valued fields: used to store data with only two values such as true, false, and not defined. The benefits of limited field search included: 1. Increase query efficiency: By limiting the fields required for the query, it can reduce the scanning of irrelevant fields and thus improve the query efficiency. 2. Reduce data redundancy: By limiting the field range, unnecessary data redundancy can be reduced and the database's expansibility can be improved. 3. To improve the quality of the query: By limiting the scope of the fields, you can avoid inaccurate results due to unmatched query fields. 4. Reduce user operation costs: By limiting the field range, the user can reduce the input required for user operation and reduce user operation costs. 5. Easy data maintenance: By limiting the scope of the field, it is easy to maintain, modify, and expand the data.

When a document is saved in a database, the document's meta-data information is usually used to identify the document, such as the document title, author, content, time, and so on. This information can be stored through the attributes of the document entity. In Mystical, document entities can be stored using fields such as `document_id`,`title`,`author`,`content`, and `date`. For example, the following is an example table that stores document entities and their attributes: ``` CREATE TABLE document ( document_id INT PRIMARY KEY title VARCHAR(50) NOT NULL author VARCHAR(50) NOT NULL content TEXT NOT NULL date DATE NOT NULL ); ``` In this table,`document_id` is the document's unique identification,`title` is the document's title,`author` is the document's author,`content` is the document's content,`date` is the document's release time. These fields can be used to store the document's meta-data information.

A full-text search engine is a website or tool that can search the entire text content, also known as a "full-text search engine." It allows users to search the entire document or all the content in the document library, not just limited to specific keywords or phrases. This technology allows users to find any text, whether it's online or stored on a local device. For example, a full-text search engine might allow users to search all the chapters of a novel, or a news website might allow users to search all the articles in the entire news library. Full-text search engines typically use natural language processing and machine learning techniques to search and understand text and return results that contain all relevant text.

A full-text search engine is a search engine that can search the entire text document. It can generally search all the passages and sentences in the text document and can perform a full-text search based on specific keywords. Full-text search engines can do full-text search on the Internet, so you can find all kinds of resources on the Internet, such as novels, articles, pictures, etc. Common full-text search engines included Google full-text search, Bing full-text search, Baidu full-text search, and so on.

A full-text search engine is a tool that can search the entire text document. It is usually used to find and read content in a variety of text format such as novels, papers, news reports, blog articles, and so on. Full-text search engines can help users find any content they are interested in without having to remember keywords or page titles and other details. Common full-text search engines include: 1. Google Search Engine: Google is currently one of the world's largest search engines. It provides full-text search function that can search the content of the entire web page. 2. Baidu Search Engine: Baidu is one of the most popular search engines in China. It also provides a full-text search function that can search the entire content of the web page and support the search of text format. Bing search engine: Bing search engine is a search engine developed by Microsoft.It provides full-text search function, which can search the content of the entire web page and support text format search. 4. wikipedia: wikipedia is a free online encyclopedia that provides full-text search capabilities that allow you to search the entire web page and support text format searches. These full-text search engines all provided different search functions and options. You could choose the appropriate search engine to search and read according to your needs.

Full-text search engine is a kind of technology that can search the entire text content. It is usually used for online reading and writing platforms to help users find and read various types of text such as novels, articles, news reports, etc. Full-text search engines usually use natural language processing and machine learning techniques to identify keywords and phrases in the text and match them with relevant text content. The user can search for text content by entering keywords or providing text links, and then jump to different pages to read different content. Some full-text search engines also provide full-text translation to help users better understand and read texts from different languages.

Full-text novel website was a platform that focused on creating and sharing high-quality novels. It had a wealth of novel resources, including various types and topics such as fantasy, romance, science fiction, history, fantasy, and so on. Full-text novel website provides a convenient creation tool where users can create their own novels and share and collaborate with other authors. In addition, the full-text novel website also provided a comprehensive reader community where users could communicate, comment, and share novels to establish deep emotional connections with other readers. Full-text novel website is committed to the creation and promotion of excellent novels, hoping to bring more literary enjoyment and spiritual resonance to readers.

A full-text search engine is a web tool that can search the entire text content. It is usually used to find content on novels, articles, blog, wikipedia, and other websites. Unlike other search engines, full-text search engines can search the entire text, including punctuations, spaces, and special characters. They can also identify and return citations and references in the text. When using the full-text search engine, the user enters the text content to be searched. The search engine will search the entire text and display all the web pages that contain the text. The user can then find any information related to the text in these pages, such as titles, descriptions, tags, references, etc. Full-text search engines can also help users find citations and references to better understand the source and background of the text. Full-text search engines usually require users to enter some basic search grammar such as "keywords","author","title","paragraph","full-text content", etc. in order to search for specific content. Since search engines can search the entire text, full-text search engines can also be used to find various types of text such as poetry, news reports, movie reviews, etc.

Full-text search engines, also known as full-text search, were a type of search engine technology that could perform full-text search on the text content on the Internet, including web pages, blog, news, wikipedia, and other forms of text content. Full-text search can help users quickly and accurately find the text content they need to find, especially those that are difficult to locate, scattered, and complex text content.