GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW) | ||||||
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15:19 Mar 11, 2010 |
English to Czech translations [PRO] Tech/Engineering - Computers: Systems, Networks | |||||||
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| Selected response from: Kostas Zgafas Czech Republic Local time: 19:35 | ||||||
Grading comment
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Summary of answers provided | ||||
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4 +1 | přenos dat |
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3 | označování (značení, značkování; vkládání značek / poznávacích znamení do) dat |
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Discussion entries: 3 | |
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přenos dat Explanation: Zřejmě bych v tom nehledal žádnou složitost |
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data seeding označování (značení, značkování; vkládání značek / poznávacích znamení do) dat Explanation: Jen na to zkouším jít trochu jinak a místo předložené definice zkouším odvodit dle tohoto: http://blockscraping.com/seeding.html "Data seeding - detecting copyright infringement or plagiarism An old and to some extent a reliable way of detecting and tracking scraping is to seed the data either with easily identifiable items in order to trace where the data ends up or with bogus records in order to destroy the value of the data. Seeding online data Today when large proportions of valuable data is available online for anyone to download, this is still a viable concept. Enforcing terms and conditions of use for a public database is hard but seeding may be a way of at least find some of the people stealing the data. Tagging data with honeytokens There are two main strategies in terms of seeding the data. The first is to insert easily identifiable records in the dataset, things that are unique such as in a database of phone numbers a very odd name. The same odd name can then be used later to identify your data in a suspected dataset. Even more effective is of course to add some information that refers back to you such as for example combine the odd name with a phone number over which you have control, that way you'll get a receipt when someone uses the data. Providing fake data to scrapers The other way of seeding is to insert bogus data in order to destroy the value of a dataset. In the phone book case this could be for example exchanging digits in the phone numbers or randomize names and phone numbers. The problem with this is that you will need to have sophisticated means of detecting someone scraping your site since you wouldn't want to give out the bogus data to any of your real customers." Tedy data (zálohovaná na serveru či jiná) jsou označena (resp. tam může být vložena záměrná chyba), aby bylo dohledatelné případné zneužití či plagiátorství. data seeding device - zařízení pro označování dat, ...vkládání značek (poznávacích znamení) do dat Ale samozřejmě může jít i o prosté sdílení v tom smyslu, jak je naznačeno ve slovenském KudoZ. :) |
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