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The concepts of topical and focused crawling were first introduced by Filippo Menczer [20] [21] and by Soumen Chakrabarti et al. [22] The main problem in focused crawling is that in the context of a Web crawler, we would like to be able to predict the similarity of the text of a given page to the query before actually downloading the page.
Also simply application or app. Computer software designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user. Common examples of applications include word processors, spreadsheets, accounting applications, web browsers, media players, aeronautical flight simulators, console games, and photo editors. This contrasts with system software, which is ...
Distributed web crawling is a distributed computing technique whereby Internet search engines employ many computers to index the Internet via web crawling.Such systems may allow for users to voluntarily offer their own computing and bandwidth resources towards crawling web pages.
In computing, a search engine is an information retrieval software system designed to help find information stored on one or more computer systems.Search engines discover, crawl, transform, and store information for retrieval and presentation in response to user queries.
A crawl frontier is a data structure used for storage of URLs eligible for crawling and supporting such operations as adding URLs and selecting for crawl. Sometimes it can be seen as a priority queue .
In addition, ontologies can be automatically updated in the crawling process. Dong et al. [15] introduced such an ontology-learning-based crawler using support vector machine to update the content of ontological concepts when crawling Web Pages. Crawlers are also focused on page properties other than topics.
To a computer, a document is only a sequence of bytes. Computers do not 'know' that a space character separates words in a document. Instead, humans must program the computer to identify what constitutes an individual or distinct word referred to as a token. Such a program is commonly called a tokenizer or parser or lexer.
Linearized PDF files (also called "optimized" or "web optimized" PDF files) are constructed in a manner that enables them to be read in a Web browser plugin without waiting for the entire file to download, since all objects required for the first page to display are optimally organized at the start of the file. [26]