DeepWeb. - Research at Google. OpenIndex. Data Extraction and Label Assignment for Web Databases. 1. Introduction While search engines provide some help in locating information of interest to users on the World Wide Web, a large number of the web pages returned by filling in search forms are not indexable by most search engines today as they are generated dynamically by querying a back-end (relational or object-relational) database. The set of such web pages, referred to as the Deep Web [3] or Hidden Web [15], is estimated to be around 500 times the size of the "surface web" [3].
Consider, for example, a user who wants to search for information such as configuration and price of a notebook computer before he/she buys on the Web. Since such information only exists in the back-end databases of the various notebook vendors, the user has to go to the web site of each notebook vendor, send his/her queries, extract the relevant information from the result web pages and compare or integrate the results manually. The rest of the paper is organized as follows. 2. 2.1 Data model Figure 1. 3. Desperately seeking Web Search 2.0.
Search Results. New Search Sign up / Log in Institutional / Athens login Deutsch Corporate edition Skip to: Main content Side column Download Subscribe to this page via RSS Download Download search results (CSV) Your download will be capped at 1000 items Page %P Close Plain text 1,012,001 Result(s) for 'food' Relevance Newest First Oldest First previous Page is not a valid page number. Between is not a valid date range. Show only accessible Refine Your Search Content Type Discipline see all Subdiscipline see all Published In see all Language see all Over 8.5 million scientific documents at your fingertips Our Content Other Sites Help & Contacts Legal © Springer, Part of Springer Science+Business Media Privacy Policy, Disclaimer, General Terms & Conditions Not logged in Unaffiliated 198.27.80.99 Springer for Research & Development <div id="jsnotice" class="prompt-bar"><p> JavaScript is currently disabled<span>, this site works much better if you enable JavaScript in your browser.
Grey literature. Grey literature is informally published written material (such as reports) that may be difficult to trace via conventional channels such as published journals and monographs because it is not published commercially or is not widely accessible. It may nonetheless be an important source of information for researchers, because it tends to be original and recent.[1] Examples of grey literature include patents, technical reports from government agencies or scientific research groups, working papers from research groups or committees, white papers, and preprints. The term "grey literature" is used in library and information science. The identification and acquisition of grey literature poses difficulties for librarians and other information professionals for several reasons.
Generally, grey literature lacks strict bibliographic control, meaning that basic information such as author, publication date or publishing body may not be easily discerned. Definitions[edit] The U.S. In 2010 D.J. GreyNet International, Grey Literature Network Service. Information Retrieval and the Semantic Web. In search of the deep Web. When Yahoo announced its Content Acquisition Program on March 2, press coverage zeroed in on its controversial paid inclusion program, whereby customers can pony up in exchange for enhanced search coverage and a vaunted “trusted feed” status. But lost amid the inevitable search-wars storyline was another, more intriguing development: the unlocking of the deep Web. Those of us who place our faith in the Googlebot may be surprised to learn that the big search engines crawl less than 1 percent of the known Web.
Beneath the surface layer of company sites, blogs and porn lies another, hidden Web. The “deep Web” is the great lode of databases, flight schedules, library catalogs, classified ads, patent filings, genetic research data and another 90-odd terabytes of data that never find their way onto a typical search results page. Today, the deep Web remains invisible except when we engage in a focused transaction: searching a catalog, booking a flight, looking for a job. “The U.S. Welcome to the Foundation for Intelligent Physical Agents. "Invisible Web" Revealed - SEW. From The Search Engine Report July 6, 1999 Lycos and IntelliSeek, maker of the BullsEye desktop search utility, have teamed up to produce an index of search databases to help users find information that is invisible to search engines.
The "Invisible Web Catalog" provides links to more than 7,000 specialty search resources. Users can browse listings, or Lycos will suggest appropriate databases within its own search results. This is a great new tool because there's lots of helpful information locked away in databases that can never be indexed by search engines. No, Lycos isn't automatically searching these databases when you perform a search, which some people have mistakenly assumed. For instance, say you searched for "cancer. " So to get the most out of the Invisible Web catalog, change your search strategy at Lycos. You can also browse the Invisible Web Catalog's listings by going to its home page. Lycos Invisible Web Catalog.
Interactive online Google tutorial and references - Google Guide. World Wide Web Reference. WizSoft | Sophisticated Software Application. Subject Tracers. WWWposterhe. An Investigation into the Deep Web - Maddie Morris. The Deep Web is even more extensive and arcane than its cavernous name intimates, and it doesn’t help that a sea of misinformation surrounds it.
This paper seeks to fulfill the need for an accurate, comprehensible guide to the Deep Web suited to both the interested layman and the tech maestro. A quick Google search will tell you that the Deep Web is any Internet database not indexed by search engines. This is true, but the more you look into it, the more complicated and insufficient said explanation becomes. The Deep Web can be divided into two halves: one that can be accessed through a typical Internet browser, be it Firefox, Chrome, or Safari, and one that requires special software, the most common being TOR, I2P, and Freenet.
Let’s start with the former. When you look for something on Google, you are searching an index of as much of the Internet that Google has been able to find. Contrary to popular belief, Google is not God. You may be beginning to wonder why any of this matters. Sigmod04-final. All of OCLC’s WorldCat Heading Toward the Open Web. Excited by the "resounding success" of the Open WorldCat pilot program, the management of OCLC, the world's largest library vendor, has decided to open the entire collection of 53.3 million items connected to 928.6 million library holdings for "harvesting" by Google and Yahoo!
Search. A letter from Jay Jordan, president and CEO of OCLC, went out to members on Oct. 8. Currently, the Open WorldCat subset database contains about 2 million records, all items held by 100 or more academic, public, or school libraries—some 12,000 libraries all told. The new upgraded Open WorldCat program will automatically include all of the 15,000-plus OCLC libraries that contribute ownership information (holdings) to WorldCat, unless the library asks to have its holdings excluded. In January 2005, Open WorldCat will officially graduate from a pilot program to a permanent "ongoing program"; however, the database will be open for "harvesting" to Google and Yahoo! Search as early as late November 2004. Main View : Deep Federated Search. Main View : Deep Federated Search. Deep Web Business Search : Main View : Deep Federated Search.
National Library of Energy : Main View : Deep Federated Search. World Wide Science : Main View : Deep Federated Search. Main View : Deep Federated Search.