ApexKB

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ApexKB
JumperNetworks-logo.jpg
JumperInputScreen1.jpg
Original author(s) Steve Perry
Developer(s) Trilex Labs
Initial release 2009 March 26
Stable release 2.0.1.9 / November 15, 2010; 3 years ago (2010-11-15)
Development status Active
Platform PHP, Javascript, Apache, mySQL
Available in English (many other language versions are available)
Type Collaborative search engine, Enterprise bookmarking
License GNU General Public License
Website trilexnet.com/labs/jumper

ApexKB (formerly Jumper 2.0), is an open source web application script for collaborative search and knowledge management powered by a shared enterprise bookmarking engine that is a fork of KnowledgebasePublisher.[1] It was publicly announced on 29 September 2008.[2] A stable version of Jumper (version 2.0.1.1) was publicly released under the GNU General Public License and made available on Sourceforge on 26 March 2009 as a free software download.[3]

Jumper is Enterprise 2.0 software that empowers users to compile and share collaborative bookmarks by crowdsourcing their knowledge, experience and insights using knowledge tags. Users tag, link, and rate structured data and unstructured data sources, including relational databases, flat file databases, medical imaging, content management systems, and any network file system.[4] It is an interactive, user-submitted recommendation engine which uses peer and social-networking principles to reference any information located in distributed storage devices, either inside or outside the firewall, and capture the collective knowledge about that content, media, or data.

Features[edit]

Jumper 2.0 is enterprise web-infrastructure for tagging and linking information resources.[5] Jumper 2.0 lets you search and share high-value content, media, or data across remote locations using knowledge tags to capture knowledge about the information in distributed storage. It collects these tags in a tag profile. The tag profiles are stored in an interactive knowledge base and search engine.

The software represents a fundamentally new approach to searching structured and semi-structured data using a Web 2.0 front-end where user-created tag profiles bookmark quality information resources, user contributed experiences add real-world knowledge about the information resources, and user-created reviews sort out the worthy resources from the inadequate[6]

Jumper 2.0 is free software under the GPLv2 license. Users can purchase installation and support contracts under commercial, educational, or nonprofit licenses.[7]

Jumper 2.0 is a web application written in PHP and Javascript. Jumper 2.0 runs on any industry standard web server such as Apache, Microsoft Internet Information Services, Lighttpd, Hiawatha, Cherokee or Zeus Web Servers. Jumper by default supports storing of the tag profile and associated knowledge tags within MySQL. Jumper can, however, easily be configured to support Oracle database, IBM DB2, and Microsoft SQL Server as the back-end database. In addition, Jumper can be integrated with LDAP for user and group management.

Users access Jumper 2.0 via any industry standard browser. The Search Engine in Jumper is the first thing users see when they access the Jumper Intranet portal. Access to Jumper can be open to the public or controlled by requiring log-in to view some or all of the tag profiles. By clicking on a search result users can view the full tag profile. The ‘tag profile’ is a reference to an information resource located in a remote storage device. The tag profile captures knowledge about this resource using social tagging. The full tag profile is returned with the search results. Much like a card in a card catalog it is a central reference point to collect and discover information associated with and about distributed information resources. With certain privileges a user can add a comment to the tag profile, expand upon the description, add new knowledge, or link the profile to another information resource. In addition, viewers can rate the value, accuracy or completeness of the tag profile. They can also choose to create a new tag profile that references content, media, or data regardless of format or location.

Advantages[edit]

Jumper is a specialized Enterprise Social Search tool.

  • leverages bookmarking to create a user-submitted index engine
  • allows users to tag any data, not just web pages
  • provides keyword and description tags
  • also provides expanded knowledge tags
  • knowledge tags can be customized to meet specific requirements
  • tag terms can be aligned with corporate taxonomies or data dictionary
  • a tag term is highlighted if it exists in the dictionary – user can click through to read the term
  • group based permissions and easy integration with LDAP
  • it does not deploy a tool bar in your web browser
  • users do not share web page bookmarks from their browser
  • bookmark tags are not standard but can be customized
  • bookmarks more than web pages
  • it does not provide user profiles or ask an expert features
  • there are no discussion groups, no blogs or wikis

History[edit]

Jumper was originally created as a project for the Sun Microsystems Jini Community.[8] The software was first presented at the 6th annual JCM Sessions.[9] Project Jump created a name server storing persistent names for data objects using a system of "natural language addressing" based on descriptive metrics, which have since been adopted by JXTA.[10] It was originally developed by Steve Perry from his work as a data integration consultant.

The Jumper Open Source Project is a community effort, led by Jumper Networks, devoted to building and maintaining the open source version of Jumper.[11]

Jumper Networks Inc., the company that provided commercial support for the Jumper Collaborative Search Engine, and the related company website were closed in September 2011.

See also[edit]

References[edit]

External links[edit]