The majority of today's enterprise knowledge management tools, techniques and methodologies have been developed with large firms in mind, and are therefore not ideally suited to the characteristics of small knowledge-intensive companies. Current knowledge management (KM) systems are not only expensive to purchase, they also require significant resources to be committed to their deployment, maintenance, and daily operation. Typical knowledge management systems focus on predetermined workflows and rigid “information-push” approaches that reflect the philosophy behind working practices in large enterprises.

In contrast, small and medium-sized enterprises (SMEs) mainly rely on informal person-to-person communications and people-centric operations. These generally take place on an ad-hoc basis and are not standardised. By and large, their size and structure mean that SMEs have a set of distinctive needs that require the deployment of a new breed of digital environment for generating, sharing and refining organisational knowledge.

Objectives of the project

The aim of the OrganiK project is to research and develop an innovative knowledge management system that enables the semantic fusion of enterprise social software applications. The system accumulates information that can be exchanged among one or several collaborating companies. This enables an effective management of organisational knowledge and can be adapted to functional requirements of smaller and knowledge-intensive companies.

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Main distinguishing features

The set of OrganiK KM Client Interfaces comprises of a Wiki, a Blog, a Social Bookmarking and a Search Component that together constitute a Collaborative Workspace for SME knowledge workers. Each of the components consists of a Web-based client interface and a corresponding server engine.
The components that comprise the Business Logic Layer of the OrganiK KM Server are:

  • the Recommender System,
  • the Semantic Text Analyser,
  • the Collaborative Filtering Engine
  • the Full-text Indexer

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