Jumper - Collaborative search engine in PHP

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Jumper 2.0 is a collaborative community search platform that revolutionizes search by crowdsourcing knowledge management powered by a shared bookmarking engine. It is easily and quickly deployed into a community of practice that benefits users with complex and specialized search requirements. Jumper delivers universal search of any databases, flat files, fileshares, content systems, web pages, blogs and wikis, even people - through one simple search box.

Jumper 2.0 collaborative search is an open source, web-based platform written in PHP and Javascript. Jumper uses peer and social-networking principles to tag and link distributed information resources to create an interactive, user-submitted, recommendation engine that allows you to search any content, media, or data regardless of format or location.

Like Wikipedia, Jumper allows users to become contributors and editors of the service by creating, editing, and managing tag profiles. Jumper allows users to tag any information resource with keywords just like Delicious. Jumper delivers a comment and rating system that is similar to Amazon.




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