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Integrated platform for process-based knowledge extraction

Prokex proposes a solution to extract, organise and preserve knowledge embedded in organisational processes to enrich organisational knowledge base in a systematic and controlled way, support employees to easily acquire their job role specific knowledge and help to govern human capital investment.

According to the Lisbon Strategy the EU aims to become the most competitive and dynamic knowledge-based economy in the world. To achieve this goal the strategy outlines taking advantage of the growth and employment opportunities afforded by new technologies. Development and adoption of new technologies result in increased investment in knowledge, skills and infrastructure. Human capital is considered to be a crucial input for the development of new technologies and a necessary factor for their adoption and efficient use, but also a prerequisite for employability. Complex organisations use to model and manage their processes using business process management tools. These applications help to describe the organisational processes, together with the required information and other resources (amongst other human resources) needed to perform each activity. Business processes are defined as sequence of activities. From the Human Resource Management view it is required to define unambiguously, who is responsible for the execution of each activity in terms of the RACI matrix (Responsible, Accountable, Consulted, Informed), bridging the organisational model and the process model. In brief, one of the overall objectives of BPM is the articulation of the hidden knowledge in the context of production, services, and organisational activities. The relevant and internalized knowledge is embedded and strongly related to the roles as the element of the organisational structure. In dynamic environment both the roles and required competencies are changing, therefore the knowledge elicitation, articulation cannot go independently from the permanently updated business process model; hence the business process model is one of the most important ingredients of the knowledge to be captured. The proposed solution is to extract the knowledge from information stored in the process model in order to articulate, externalize and transfer (re-use). Since the business process models are used for the execution of processes in a workflow engine, another very important source for gathering useful knowledge are real-time instantiations of the business processes, that are giving a view on the dynamic knowledge, usually represented in the form of different business rules. The expected impact is the preservation and efficient management of corporate intellectual capital, a better return on investment in human capital, that will lead to the more efficient execution of processes and consequently higher revenues. The expected impact is the preservation and efficient management of corporate intellectual capital, a better return on investment in human capital. The goal of the proposed project is to develop a solution to extract, organize and preserve knowledge embedded in organisational processes in order to (1) enrich organisational knowledge base in a systematic and controlled way (2) support employees to easily acquire their job role specific knowledge, (3) help to govern and plan the human capital investment. In order to achieve this goal a complex IT solution and method is developed which integrates a) organisational process management tool, b) learning management tool, c) real-time data monitoring and processing tool and d) data and text mining tools for developing knowledge base (domain ontology) and the interfaces which are responsible for the communication between these components. On-the job training is put on the focus, since it increases productivity at the firm level and is also a source of innovation and therefore long-term competitiveness of firms. The novelty is based on the connection between process model and corporate knowledge base, where the process structure will be used for building up the knowledge structure. The main innovation lies in new algorithms for the extraction and integration of the static and dynamic process knowledge and a novel integration architecture that enables smoothly integration of the eLearning methods in the process execution models.
Acronym: 
ProKEx
Project ID: 
7 606
Start date: 
07-01-2013
Project Duration: 
24months
Project costs: 
350 000.00€
Technological Area: 
Knowledge Management, Process Management
Market Area: 
Business and office

Raising the productivity and competitiveness of European businesses through technology. Boosting national economies on the international market, and strengthening the basis for sustainable prosperity and employment.