Earth allows you to find files across a large network of machines and track disk usage in real time. It consists of a daemon that indexes filesystems in real time and reports all the changes back to a central database. This can then be queried through a simple, yet powerful, web interface. Think of it like Spotlight or Beagle but operating system independent with a central database for multiple machines with a web application that allows novel ways of exploring your data.
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Citebase is currently only an experimental demonstration. Users are cautioned not to use it for academic evaluation yet. Citation coverage and analysis is incomplete and hit coverage and analysis is both incomplete and noisy.
Webcam Network | EarthCam. EarthCam is the leading network of live webcams and offers the most comprehensive search engine of internet cameras from around the world. EarthCam also creates and produces live webcasts in addition to providing complete infrastructure services to manage, host and maintain live streaming video camera systems for its consumers and corporate clients.
Google began running a live test last year that lets people rank and remove search engine results and comment on them. Testers were presented with different variations of the experiment, which the company first publicly detailed about two weeks ago in an official blog posting.
Introduction
On several occasions developing database-driven web applications, I've been approached by clients who want Google-style search implemented at the last minute of the development cycle. Usually this leads to using some canned script that crawls the website, or a hacked up search function that uses the database but either returns too many results or none at all. On top of that, the queries performed are too many or too slow.
Until now, most developers have been forced to use relational databases to power search, install extra component packages, or seek out other non-php solutions. The problem with using a relational database, such as MySql's fulltext indexing, is that scalability problems crop up as your search criteria becomes more complicated.
One of the features that sets the Zend Framework apart from the others is the inclusion of a decent search module. Zend_Search_Lucene is a php port of the Apache Lucene project, a full-text search engine framework. Zend_Search_Lucene promises a simple way to add search functionality to an application without requiring additional php extensions or even a database.
Zend_Search_Lucene overcomes the usual limitations of relational databases with features such as fast indexing, ranked result sets, a powerful but simple query syntax, and the ability to index multiple fields. Better still, a Zend_Search_Lucene index can live happily alongside your relational database to provide fast searching but without duplicating the effort of storing all of your data twice. In this tutorial, I'll show you how to use Zend_Search_Lucene to index and search some RSS feeds.
xswingx can help you...
* Add prompts to any text component.
* Add child components to any text field. (Called buddies. Wonder why? Read the FAQ.)
* Add a search field to your UI (and let it look and behave like native - or not).
ChunkIt! is a safe and innovative add-on to your Internet browser that searches and extracts the valuable "chunks" of information often hidden within the countless hyperlinks that comprise the Web.
What do we mean by a "chunk"? Think of a chunk as a compact block of content, text, or data that contains enough descriptive information pertaining to your search terms to convey an idea.
After a quick install, you'll see the new ChunkIt! search box appear in your browser. By entering keywords in the ChunkIt! search box, valuable information from the Web will become much easier to find. This revolutionary approach to search will save you hours of time and frustration because you can avoid aimless browsing and endless clicking from one link to another. It's the perfect application for researching consumer products, gathering important information, sifting through discussion groups and blogs, and finding answers to all your home and technical problems.
There has been a lot of buzz around social search in the online tech community, but I am largely disappointed by the new tools and services I've encountered. It's not that these sites are unusable, but that they each seem to take on a different conception of what social search is and when/how it will be useful. Have these sites actually studied users doing social search tasks?
The time has come for libraries, too, to negotiate for rights to index full text
By Jonathan Rochkind -- Library Journal, 2/15/2007
The ability to search and receive results in more than one database through a single interface—or metasearch—is something many of our users want. Google Scholar—the search engine of specifically scholarly content—and library metasearch products like Ex Libris's MetaLib, Serials Solution's Central Search, WebFeat, and products based on MuseGlobal used by both academic and public libraries—are all a means of providing this functionality. At the university where I work, without very much local advertising, Google Scholar has become the largest single source of links to our link resolver product, illustrating how hungry users are for metasearch.
Flickr Related Tag Browser. Einfach ein Stichwort eingeben und es erscheinen 36 Bilder. Klickt man danach auf ein beliebiges Bild dann öffnet dieses neben der Vorschau. Nun das ist noch nicht wirklich etwas Revolutionäres, aber wenn man die Maus aus de
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