harness the collective intelligence of your organization

Jumper 2.0 is a next-generation Knowledge Management tool that allows users to tag any content, media, or data with the collective knowledge they posses based on an Enterprise Bookmarking engine. These tags capture much more than just conventional keywords, but are expanded to capture knowledge about the information itself.

Jumper is part of a new wave of business communication tools that allow for more spontaneous, knowledge-based collaboration. Jumper changes the way people discover and share information - it uses a bottom-up community, or social networking approach, rather than the more traditional top-down editorial approach. Community-based tagging increases both the richness and breadth of search. Allows users to determine what is important, and aggregates the knowledge that resides in abundance across your organization.

The power of Jumper resides in direct end-user contributions. It captures the collective knowledge learned about and derived from the data itself. It is this aspect that has the potential to greatly diminish hierarchy, credentialism, and other means by which companies have traditionally been controlled -- in short, the established social order that has traditionally isolated data in silos both technically and procedurally.

Jumper is a more participative and emergent version of knowledge management with its superior ability to capture tacit knowledge, best practices, and relevant experiences from throughout an organization and make them readily available to more users.

Jumper Tagging
At Jumper, we viewed tags as having much more potential than just a non-hierarchical keyword or term assigned to a piece of information. It could be leveraged to provide a wealth of information about structured and semi-structured data allowing for it to be more easily discovered and repurposed.

Jumper 2.0 bookmarking expands on the basic premise of tagging. It takes the concept beyond just web pages to include any data; including relational tables, flat files, images, video, drawings, and documents. Jumper allows end-users to directly tag any data, stored in any format, on any vendor platform, in any location. The expanded tag fields allow users to input more than keyword knowledge, they can categorize the data, provide definitions, descriptions, annotations, add comments and notes to the data, capture the system metadata, and much more.

Jumper provides a Web 2.0 front-end where user-created tag profiles capture knowledge about data in remote data stores, user contributed information adds real-world knowledge about the data resources, and user-created reviews sort out the worthy resources from the inadequate. The expanded tag fields are captured in a tag profile that is stored in a knowledgebase for users to search. These tag profiles can grow organically and collect knowledge from many different users. One user might tag the data with keywords only, another user will add a description, a third user could annotate the data, a fourth might add some metadata. It is this ability for the tag profiles to grow overtime that creates a truly collaborative collective intelligence. The tag fields can be customized by customers to meet the unique requirements of the business.

the collective power of knowledge

Meaning extraction is an emerging technology that identifies elements of information and concepts contained within documents, images, media, and data, and captures these informative elements and concepts that imply meaning in the context of the business, professional, or technical purpose of the search process. Meaning extraction is more than just full text search. It is applying the tacit, anecdotal, and expectational knowledge of the organization to the search. Beyond keywords and text strings search results must be filtered using more sophisticated knowledge capture techniques. Universal search in Jumper dramatically improves and accelerates a searcher’s ability to gain insight into a topic and answer specific research questions.

Read the Jumper Overview.