Not exact matches
Entire uncharted realms lie beyond the reach of the
crawlers that tirelessly catalogue the
web on behalf of search giants: databases, internet relay chat records, and the raw
data behind research papers.
Much of this deep
Web information is unstructured
data gathered from sensors and other devices that may not reside in a database that can be scanned or «
crawled» by search engines.
Other deep
Web data comes from temporary pages (such as advertisements for illegal sexual and similarly illicit services) that are removed before search engines can
crawl them.
The spider
crawls the
web pages and collects the
data — just like the spiders of search engines
crawl the
web, collect info, and present that info back to the public in the form of search results.
I can't imagine waking up to see your name and info splashed like that without being asked, especially since
data guy is using
web crawlers /
data scrappers to get to
data that is not out in public.
UPDATE # 2: Hugh and his
Data Guy now have run their
web -
crawling spider through the Barnes & Noble genre bestseller lists.
And in the meantime, maybe the entities with big resources (and
data scientists and
web crawlers) should start producing some of their own reports to give authors another perspective.
The result is «this ontology of terms that has been developed over the years» and continues to be refined every night, when the system
crawls the
Web to collect the latest
data, says Owen Byrd, Lex Machina's chief evangelist and general counsel.
As bots and spiders
crawl across the
web pulling in
data and compiling it, as Google scans and organizes the books of the world by algorithm and we fight about metadata, the thought of one man personally examining and verifying each item in a
data base of this size approaches the level of science fiction.
The
crawlers will not be satisfied with cut - and - paste legal information duplicative of other
data on the
web.
But even with such steps, which will better secure Facebook's systems in the future, it's safe to bet that hackers and
data - hungry
web crawlers will find a way to circumvent it.
«Often the terms of service say you can't use bots or
web crawlers to get into the platform and scrape personal
data.»
As The Washington Post recently detailed, Priceonomics, a company that helps companies
crawl and structure
data from the
web, analyzed US Census
data to see what professions are most likely to marry each other.