Process-oriented Knowledge Structuring
Kai Mertins
Fraunhofer IPK Berlin, Germany
Kai.Mertins@ipk.fhg.de
Peter Heisig
Fraunhofer IPK Berlin, Germany
Peter.Heisig@ipk.fhg.de
Kay Alwert
Fraunhofer IPK Berlin, Germany
Kay.Alwert@ipk.fhg.de
Abstract: Within a business environment, where the fast and reliable
access to knowledge is a key success factor, an efficient handling of the
organizational knowledge is crucial. Therefore the need for methods and
techniques, which allow to structure and maintain complex knowledge bases
according to the requirements emerging from the daily work have a high
priority. This article provides a business process oriented approach to
structure organizational knowledge and information bases. The approach
was developed within applied research in the industrial, service and administrative
sector. Following this approach, three different types of knowledge structures
and their visualization have been developed by the Fraunhofer IPK and are
currently applied and tested in organizations. Beside the approach itself,
these three types of knowledge structure and the cases of application shall
be introduced here.
Key Words: knowledge management, knowledge structure, visualization,
process context, browsing, business process, knowledge base, knowledge
bearer, knowledge carrier, knowledge domain, knowledge map, knowledge navigator,
post-structuring, pre-structuring, process assistant, process modeling
tool, key word based search, topic map engine
Categories: D.2, D.4.1, E.1, H.1, H.3.1, H.5, K.6
1 Introduction
The knowledge and information environment nowadays is increasingly dominated
through information overload and uncertainty about validity, reliability
and news of available knowledge. To lessen this effect organizations more
and more call for methods and techniques, which allow them to structure
their existing knowledge base and to enable adequate access to it. Considering
the architecture of knowledge management systems frequently used nowadays,
one can find that they offer various functionalities for an appropriate
infrastructure or components for the controlling of organizational procedures.
A knowledge management system, however, consists of technology, organizational
processes and the knowledge content with its inner knowledge structure.
Only an analysis of all components together lead to KM solutions that
respond in an optimal way to the circumstances of concrete organizations.
The knowledge structure, in this context, represents the transition between
knowledge content and all kinds of technical support. Through the way of
knowledge structuring, the possibilities of visualization and therefore
the interface between IT-system and user are being widely influenced. By
this, the potential benefit for the user as well as the effort needed for
the installation, the initial feeding and updating of the system are being
anticipated. For that reason, it is necessary to take account of this important
aspect at an early stage when dealing with KM, especially when a technical
solution is planned. But to structure organizational knowledge offers further
advantages which are of importance for a comprehensive consideration of
knowledge management. Common knowledge structures, once made explicit and
being communicated, allow for greater transparency but also influence the
language for the exchange of knowledge and therefore have far-reaching,
cultural side-effects within the whole organization. For all this reasons
it is of essential importance to find an appropriate procedure to develop
and implement knowledge structures in organizational environments. Business
process oriented KM approaches take these consideration into account. Therefore
it is nearby to combine these approaches with methods of structuring and
visualizing knowledge and information.
2 Knowledge Structure
The most approaches focus the challenge of structuring knowledge spaces
by using results from computer science and its technical possibilities.
This, however, is only one aspect of knowledge structuring. IT tools and
their various functionalities can support the structuring of knowledge
and information, e.g. through procedures of information retrieval, data
and text mining, procedures for content analysis, automatic clustering
etc. An essential aspect of knowledge structures is, however, that they
are based on experiences made by experts and create a mutual understanding
between persons and therefore support the knowledge communication. Computer-generated
structuring is only one part of this, yet it should not substitute the
entire process of achieving a consensus between employees, experts and
the executive personnel, a process which also promotes acceptance. Therefore
it is the aim of IPK´s approach on knowledge structuring to put the
organizational knowledge base into an action-based, accepted context
by means of the connection, the modeling and the visualization of relations
between the elements of the knowledge base. In this regard, knowledge structure
can be defined as the explicit representation of verifiable, action-based
relations within the knowledge base.
3 Process models for the structuring of knowledge and information
One of the aims of knowledge structuring is to place the knowledge at
the employee's disposal in the right quality, at the exact point of time
when it is needed to carry out a given activity. Therefore, the employment
of processes can be regarded as an adequate basis for the structuring of
knowledge and information. A process model highlights and describes those
connections between single activities which are relevant for the change
of a given state.
These process descriptions represent an important and explicit component
of knowledge, the 'know-how'. Beside this mere process description the
Fraunhofer IEM (Integrated Enterprise Modeling) [cf. Spur,
Mertins, Jochem, 93] approach offers the possibility to describe knowledge
as an object and as an activity within the process model [Mertins
et. al., 01].

Figure 1: IEM Generic Activity Model for Knowledge Management
[Heisig, 03]
Knowledge, therefore, is basically divided into two categories by way
of a fundamental act of structuring, namely the knowledge about a process,
the 'know-how'- represented in the IEM as knowledge processing task - and
the knowledge within a process, the 'know-what' - represented in the IEM
as knowledge resources and products. In Figure 1 the
IEM Generic Activity Model for KM is shown. The resource class "knowledge
domain" represents the knowledge content required to carry out the
knowledge processing action. "Knowledge bearer" describes the
human expert and therefore the tacit part of the necessary knowledge. And
the "Knowledge base" means the electronically available knowledge.
The importance of other explicit knowledge elements is recognized with
the sub-class "knowledge carrier [Heisig, 03].
By using this method, business process models are created, which have a
strong focus on knowledge and information objects. Therefore the resulting
business process model represents the action-based knowledge structure
of the organization. This structure can be used as the context to analyse
other structures applied in the daily work and finally to create an adequate
knowledge structure, which really contributes to the given needs of the
knowledge workers.
3.1 Procedure model of business process oriented knowledge structuring
There are five main steps in the procedure of business process oriented
knowledge structuring:
- modelling the selected business process with the necessary knowledge
domains, bearers, carriers and bases including the existing knowledge structures,
- ascertain the users' requirements for the knowledge structure derived
from the business process,
- pre-structuring the relevant knowledge as to the main knowledge objects
and their relevant metadata; the themes in the evaluated knowledge domain
and the connections between all these elements,
- defining and specifying the structure in consensus with leaders, stakeholders
and experts,
- implementing the knowledge structure through the definition of roles
and processes of maintenance.
Starting with the business process modelling, both the structures employed
by the organization in documents and IT systems as well as mental models
of the employees are being gathered with interview and workshop techniques.
If business process models are already existing, it is possible to start
with them. From the users' requirements and the structure analysis an initial
knowledge structure emerges which comprises relevant knowledge objects
with their main characteristics as well as organizational concepts and
connections between these elements. The consensus about the final knowledge
structure is achieved in an iterative way using workshop methods and involving
users, experts and management (cf. Figure 2). To put
the structure on a broad bases a short questionnaire allows its validation
within the whole personal staff.

Figure 2:The Principle of process-oriented Development of
a Knowledge Structure
In order to visualize the developed knowledge structure, different methods
of knowledge mapping can be employed.
3.2 Visualization of the developed knowledge structures
Although the psychological findings about the cognitive effect of visual
forms of presentation are still incomplete, it is relatively certain that
visual information is easier to memorize than pure text, series of numbers
or acoustical signals [Issing, 88], [Fischer,
98]. In accordance to these insights, knowledge visualization should
provide an opportunity for users to use their natural competence in this
area. The visualization should support the user in finding relevant information
and in making inferences, interpretations, and decisions [Bair,
O'Connor 98]. Following this approach, three different types of knowledge
structures and their visualization have been developed by the Fraunhofer
IPK and are currently applied and tested in organizations.
Topic Map Engine (TME): The Fraunhofer IPK Topic Map Engine serves
as a tool for search and navigation within the knowledge base (cf. Figure
3). The TME is based on XML according to the XTM specification 1.0
[Park, 02] and allows to directly access connected
knowledge and information sources.

Figure 3:The IPK Topic Map Engine
The Topic Map Engine visualizes the semantic network of relevant concepts
of an organization. It allows to navigate from concept to concept in an
associative way. Therefore different types of associations are visualized
in different ways. To take into consideration the most common requirement
of users - to enable an easy overview on organizational concepts - it offers
the possibility to visualize and navigate poly-hierarchical structures
and provide short definitions to each concept. The TME is currently applied
and tested within a KM-Project of a Fraunhofer Institute. Herein it is
integrated as a module in the full KM-suite "Knowledge Navigator".
Within the KM-suite the TME serve as the component which allows to visualize
and browse the organizational competences and themes.
The web-based Process Assistant: The Process Assistant is a KM
application which represents knowledge and information according to the
organizational business processes (cf. Figure 4).

Figure 4: The web-based Process Assistant
The Knowledge Navigator: The Knowledge Navigator is a complete
KM-suite, which allows the handling and organization of complex knowledge
structures according to requirements of the business processes [Hoffmann,
01]. The tool uses several intuitively comprehensible visualization
for representing and browsing the relevant knowledge. The Knowledge Navigator
aims to give an overview of the entire knowledge base at one glance with
direct access to the knowledge objects. The structure and visualization
is used to avoid information glut by selecting and presenting knowledge
within the business process context. Further it is used to enhance the
awareness of new knowledge, the possibility to discover and connect elements
within the knowledge base and to motivate employees by using a playful
form of visualization. The Knowledge Navigator was developed for the handling
of complex knowledge spaces. It is currently applied and tested e.g. within
the German Air Traffic Control and a Fraunhofer Institute.

Figure 5: The Knowledge Navigator
4 Summary
Modelling knowledge structures without knowing the exact context of
application is difficult. Every case in which knowledge is applied is embedded
in a concrete situation and its action-based context. To define and model
relevant knowledge structures, it is necessary to know about the typical,
continual situations the employees are confronted with. Business processes
provide such an organizational context. Therefore it is self-evident to
use this business context for the structuring of knowledge. This does not
mean that all knowledge structures (except of the Process Assistant) are
necessarily visualized according to business process tasks. But to guarantee
the relevance of the knowledge structure for the employees daily work it
is inevitable to take the process context into consideration.
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