How to use the Internet query tool The Internet is like an ocean of knowledge, which contains inexhaustible information treasures. At present, there are two problems in how to mine it and get the information people need: first, people have too many query tools, such as WWW, Gopher, FTP, countless special news groups, message lists and so on; Secondly, there is no clear classification of resources on the Internet. What people are looking for is a bunch of unorganized information with different addresses. At the same time, those fanatical programmers, manufacturers and brokers are still cramming their stuff on the Internet. This invisibly brings great difficulty to the retrieval work. Without a certain method, searching for information on the Internet is like looking for a needle in a haystack. In this case, what tools should you use to help you find the information you want easily and quickly? After reading this article, it may be helpful to you. Directory helps if you want to find a topic of general interest, such as civil war or hotline finance, find its website. Usually, this directory will be very large and there will be an address book organized by topic. In this case, we generally like to search with Yahoo (address:/), which lists 80,000 network addresses (including web pages, gophers, FTP addresses and newsgroups), and the top level is divided into 14 sub-topics according to art, computer and medical care. Click and select the sub-topic table with the mouse, and search the sub-table repeatedly until you find the required information. In addition to Yahoo, which people are generally interested in, the special catalogue covers all aspects of information from ancient cultural relics to young workers. The best way to find these special catalogues is to go to the University of Michigan (address: resource guide. Query Engine Directory items are very useful when people want to query the information provided by the Web. The more professional the user's questions are, the fewer directory items to search. In order to get the answer to the question, people must use the query engine. Query engines are actually web pages where you can enter the text strings you want to find. Click the button, wait a moment, and the engine will identify the URL table that matches the entered keyword. In the recent Web query scanning, we found 60 such pages, of which only 10 page is a useful tool, and the rest are of little use, or only graduate students majoring in computer science are interested. Each query engine represents a database, which contains URL (Uniform Resource Locator or specially formatted Internet address) addresses of web pages and other network resources. Most query engine databases are collected by crawlers and software programs roaming on the Web to find new addresses in turn through page-to-page connections. Here, reptiles are also called robots or spiders. When the spider finds a new page, it will add the new page to the database. There are thousands of web pages in these databases, and new pages are added to the engine head every day. Among them, the engines that most people are interested in, such as Lycos and Excite, have the widest coverage, in which each database has 6.5438+0.5 million index pages, followed by Open Text Index, which is said to have 6.5438+0.3 million pages. The size of each database engine plays a great role in the success of the search. For example, we want to query each engine with the string recipewheat Beer. As a result, the largest Lycos database engine provides us with 437 hit pages, while InfoSeek and Open Text index databases provide 200 pages at a time, while other databases provide less than 65,438+000 pages. In some cases. Generally, the smaller the database, the fewer web pages are found. Most database engines strictly restrict them from retrieving the Web itself. InfoSeek and Excite go further than other engines, and they increase the Usenet newsgroup index. InfoSeek also allows users to query information about a set of non-internet databases nearby. The information network spider program in the index not only collects information. They also collect information about each page. After submitting the query, the back-end software of the query engine will build an index for the information you need. Don't be surprised that different engines have different indexing techniques. In each engine, there is an index URL address and page title. Most engines also have index titles for each paragraph, while other engines only record the first few lines of frequently mentioned words or texts. In the open text indexing database engine, every word on the page has an index, even including words and categories ignored by the engine. In this way, it is conceivable that it has naturally become the only query tool that can return yes or no in the search process. Even if it doesn't contain the keywords you specify, Excite's concept-based index can help people find relevant pages. Finding a matching page does not mean that the query is successful. On the one hand, the size of the database determines the number of matching pages it finds. On the other hand, the quality of the index depends on how many matching pages are relevant to your query. For example, we look up the real estate information in the North Carolina Triangle through various query engines, and then calculate how many matching pages there are in Chapel Hill. According to statistics, the Crawler of the Web returned 19 matching pages, and we got more than 200 matching pages from InfoSeek. But in fact, only 9 pages in 19 are what we want. Most InfoSeek matching pages are related to real estate, but there are also many things that have nothing to do with North Carolina. Use the right tools No matter how big the database is or how complicated the database to be searched is, the query engine is a unique and good tool that allows you to search. Sometimes you need to query phrases, and different databases handle phrases in different ways. InfoSeek uses the main part of a word to retrieve pages that match that part. If you want to look up the word impressionism, you just need to find a page that matches your impression. Lycos takes the query item as a subject, so in this engine, the word metal matches metallic. Several engines allow users to retrieve all phrases, not just a single word of a query string, but an accidental collocation of strings to phrases. There are two engines that can detect various changes in phrases. The two engines are Aliweb (address:/Yingyong/080805/10263518-2.html).

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