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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.
Crawling is the process of surfing the internet to get the required information about the target. The sites surfed can include the target's website, blogs and social networks. The information obtained by this method will be helpful in other methods.
Newer projects are attempting to use a less structured, more ad hoc form of collaboration by enlisting volunteers to join the effort using, in many cases, their home or personal computers. LookSmart is the largest search engine to use this technique, which powers its Grub distributed web-crawling project .
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[7] [8] [9] The field of computer science education encompasses a wide range of topics, from basic programming skills to advanced algorithm design and data analysis. It is a rapidly growing field that is essential to preparing students for careers in the technology industry and other fields that require computational skills.
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.
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3NF—third normal form; 386—Intel 80386 processor; 486—Intel 80486 processor; 4B5BLF—4-bit 5-bit local fiber; 4GL—fourth-generation programming language; 4NF—fourth normal form; 5GL—fifth-generation programming language; 5NF—fifth normal form; 6NF—sixth normal form; 8B10BLF—8-bit 10-bit local fiber; 802.11—wireless LAN