Building Up a Model for Management Information
and Knowledge: The Case-study for a
Brazilian Regulatory Agency
Carlos Alberto Malcher Bastos
1
, Luiziana S. de Rezende
1,2
, Marco F. Caldas
1
,
Anilton S. Garcia
3
, Sérgio Mecena Filho
1
, Maria Luiza D. Sanchez
1
,
Joel de L. Pereira Castro Jr
1
and Célia Regina Burmann
1
1
Laboratório de Gestão em Tecnologia da Informação e Comunicação (Gteccom),
Universidade Federal Fluminense (UFF), Rio de Janeiro, Brazil
2
Departamento de Ciência da Computação, Universidade Federal do Rio de Janeiro (UFRJ)
Rio de Janeiro, Brazil
3
Departamento de Informática, Universidade Federal do Espírito Santo (UFES)
Vitoria, ES, Brazil
Abstract. This paper aims to present an original approach to build up an
information model to a Brazilian regulation agency. The methodology was
developed based on an integration of five different views focusing at
information and its assets. Its main contribution is to combine the Knowledge
Management (KM) Method and Software Engineering (SW) Method.
1 Introduction
In the actual Brazilian Governmental Structure there is a formal initiation to improve
internal and external proceedings of managing knowledge and information
management. Transparency is the bottonline for the objective of this work. It aims to
build a model that constructs a formal structure for all the knowledge using a specific
methodology. The created model has been implemented for a Brazilian Regulation
Agency.
The work is composed of 5 sections; the second section describes the project itself.
The third section deals with model´s structures and methodology. The fourth section
presents the actual stage of the project. Finally, the fifth section presents the
conclusions of the work.
2 The Proposed Project
This section describes the reasons over which the decision to design and to develop
such project was made, the main benefits, the main phases and the expected results.
Malcher Bastos C., S. de Rezende L., F. Caldas M., S. Garcia A., Mecena Filho S., D. Sanchez M., de L. Pereira Castro Jr J. and Burmann C..
Building Up a Model for Management Information and Knowledge: The Case-study for a Brazilian Regulatory Agency.
DOI: 10.5220/0003695200030011
In Proceedings of the 2nd International Workshop on Software Knowledge (SKY-2011), pages 3-11
ISBN: 978-989-8425-82-9
Copyright
c
2011 SCITEPRESS (Science and Technology Publications, Lda.)
2.1 The Reasons Why
Among the reasons which motivated the development of the project designed to build
up a model to integrate and consolidate all the information and knowledge (tacit and
explicit) can be listed as follow:
1) Several existent information systems are independent among each other creating
incompatibilities and overlapping;
2) Information are redundant;
3) There is a overall lack of information integration among different organizational
units;
4) There is lack of information critical analysis;
5) Knowledge is disperse and difficulty to access;
6) Low information reliability for the decision making process; and,
7) Difficulty to find out new correlations in the information to identify new patterns
among information.
2.2 The Proposed Solution
The proposed solution is to develop a project which is designed to build up
management model of information and knowledge for the Agency. The idea is to
enable the Agency capable to do the elicitation of tacit knowledge into explicit
knowledge which can be formally integrated to assist the decision making process.
There are several advantages to design such model such as:
a) to guarantee information integration, reliability and trustworthy during decision
making;
b) to guarantee information democracy, agility, transparency;
c) the creation of an organizational environment suitable to knowledge production;
d) to make the communication channels among employees stronger at all hierarchical
levels which makes more robust the integration of them;
e) to allow the identification of tendencies, gaps and weakness and;
f) to enable the resources allocation at all organization levels.
Therefore, the model is based upon Nonaka e Takeushi [23] in which information is
considered to be the raw material that passes through a process of reflection /
connection generating individual knowledge (from tacit to explicit) as an output. It
makes possible to lead knowledge to be socialized, combined, externalized and
internalized generating group learning. This group learning process is them
disseminated into the organization which is then able to develop strategies, policies
and action aimed to generate competitive advantaged, as it is discussed in Bastos [3],
Donadel [8], Albuquerque [1] and Oliveira [26].
2.3 The Benefits and Expected Results
There are four main advantages to be expected as a result of the implementation of
this project:
4
1. to decrease the organization learning curve;
2. to reduce the work redundancy and to avoid the possibility of finding old data as
new one;
3. to increase the ability to increase the Agency's innovative capacity.
As a consequence is possible to find out specialists inside the organization, to identify
common characteristics among employees as well as to develop them, to improve the
exchange of ideas. Consequently, this will allow the organization to guide and to train
employees in a more focus and better way, to reinforce a positive organization
reputation and to build up a healthy environment in which new ideas can be tested.
Finally the combination of the above will make it easier the understanding of the
organizations norms and regulations and to increase the understanding of common
problems.
It also must be added that the Project will allow one to analyze the evolution of the
knowledge from an idea which has its value unknown, its documentation varies quite
a lot and its replication is optional up to a type of knowledge which can be
benchmarking as its value is well recognized, it has a detailed documentation and it
replication is required.
Finally information and knowledge management process supports all organization
services which generate information assets which are accessed by the users.
3 Project's Organization and Methodologies
The project is organized into four phases. The first one aims to evaluate all the
organization assets mainly focused upon the information as it exist in the Agency.
The second phase consists of the identification of specific methodologies and tools
specific available in the market to assist the modeling process. This phase also
intended to identify and to describe the organizational strategic macro vision. The
third phase encompasses five modules which involve: a) one aimed to make the
elicitation of all business requirements; b) the identification of all processes and the
complete flow of information; c) the structuring of the Pierre´s Levy Knowledge Tree
[18]; d) the definition of ontologies; and e) the development of a training programme
about the management model being developed. The fourth phase is composed of four
sub-phases: a) the definition of the information architecture; b) the consolidation of
organizational units; c) the knowledge model; d) the continuation of the training
programme. Based upon the three last sub-phases in combination of the organization
information assets the Management Model becomes active and alive.
The elicitation of the business assets and requirements
aims to create a
representative model as such. Interviews in depth, application of questionnaires and in
certain cases group dynamics are the three main data elicitation techniques to be used.
The results to be generated are the actors with whom the Agency interacts and the
interfaces which are the information that flow from actors to the Agency and vice-
versa. The organization's functions are also to be modeled as the process of
transforming input information into consolidated and knowledge which is the results
generated by the Agency [16]; [17] and [15].
The identification of all organizational processes and the whole flow of
5
organization information were designed to draw a map identifying the ways
information are collected, treated, validated, modelled, disseminated and distributed at
all hierarchical levels. As a result the organization map of information flow and the
matrix relating the flow information with the assets of information are determined and
detailed described. Among the benefits of this process it will be possible to produce
standardization of both information and formats; the explicit definition of all decision
making important points and bottlenecks what can contribute to reduce risks at the
decision making level. [4], [28] and [19].
To elaborate the organization model of information and knowledge
aims to do
elicitation of all tacit and explicit information and knowledge needed to all processes
carried out inside the Agency. The identification and mapping of all competences
related to the all organization knowledge and the mapping of all professional
individuals related to those competences. These elicitations are to be done through the
application of questionnaires and interviews in depth, analysis of documents and
records, observation and direct interaction of the different sectors in all organizational
units. As a result it will be possible to define a three dimension matrix relating
knowledge versus competences versus professional individuals of the Agency.
Consequently, it will be possible to identify gaps among the three matrix dimensions
allowing one to design human resources strategies to align the real scenario to the
ideal one [1], [5], [12], [18] and [27].
The ontology phase
aims to decrease the semantic distance between the
information transmitted (conceptualization) and the information interpreted which
happens in languages in general. One of the problems of not generating a proper
information ontology classification is that different terms of different natures can be
categorized as being similar generating quite a problem. This phase aims to build a
complete ontology for each organization sector by defining in a unique semantic form
all concepts and categories existent in the processes and functions that exist in all
organizational units at all hierarchical levels [11] and [13].
The above process allow the re-use of knowledge, the definition of a dictionary of
non ambiguous terms independent of users and contexts, a semantic correct
integration of different models, computational data closer to the reality, the inference
of new knowledge from existent databases and the verification of inconsistencies in
databases.
The elaboration of information assets models related to the agency final activities
will provide support for all other project teams devoted to all above explained phases.
That is, in terms of all data related to the final activities which feed up all
organizational units systems which support the regulation and monitoring process.
This phase will improve the existent models obtained based upon the systems then
it can allow the definition and implementation of better ones which can make part of
the decision making process more automated, helping the daily activities of
monitoring and regulation.
4 The Project Present Stage
At the present stage the project tested its methodology in only one organizational unit
called “the Ouvidoria” which does the ombudsman of the whole organization. This
6
unit was choice because it is contact with all the other organization's units and sectors
and at the same time it receives all users complains indicating which indicate
bottlenecks in all processes and activities developed in the Agency.
Fig. 1. Attendance Bases. The attendance base indicating the actors, flow of information and
the resources and rules used in the process of attending users in the “Ouvidoria”.
5 Conclusions
This work presents a proposal of building up a model for managing information and
knowledge as well as its application within a Brazilian regulation agency. The
proposed methodology brings to discussion and presents a research contribution by
combining information and knowledge modeling with software engineering.
7
Fig. 2. Attendance Bases. The attendance bases in terms of the knowledge and competences
required by an attendant in the “Ouvidoria”.
Fig. 3. The model of information assets. the use cases and information architecture in the
“Ouvidoria”. I can be noticed that the information and activities show in Figure 2 and 3 can be
related to this mapping.
In the actual stage, the model methodology was applied to a specific part of the
agency and is still being refined. The main breakthroughs are:
1. Culture development to address the need to redesign and optimize the strategic
information assets of the units,
8
2. Highlight the information needed to generate the information asset,
3. Establish transparent proceedings to explicit, convert and exchange the knowledge
and its formalization,
4. Motivate the collaboration among the external units at information assets process
optimization,
Fig. 4. Ontologies mapping. The mapping of all concepts used in the “Ouvidoria”.
The next step is to overcome the challenge to ensure the model integration
elaborated by the units into an integrated model that might be applied to the whole
agency. Besides the theoretical model it evolves the development of a management
model and its adoption.
The success on refining the Knowledge and Information Management model will
allow its adoption among public organizations, enhancing transparency and public
power capability to act, as well as well as society evolvement. It generates an amazing
contribution to the development of an emergent nation as Brazil.
References
1. Albuquerque, Aline Vieira de: A competência como recurso estratégico: estudo de caso na
gerência de TFCC do centro de pesquisas da Petrobras. (2008)
2. Albuquerque, M. C.: Indicadores de desempenho no transporte ferroviário de carga .
Dissertação de Mestrado - Programa de Pós-Graduação em Engenharia Industrial da PUC-
Rio. Rio de Janeiro. (2006)
3. Bastos, A., Cameira, H.: Ferramentas de Apoio à Engenharia de Processos de Negócios:
Critérios de Classificação e Método de Análise de Adequação a um Projeto. Rio de Janeiro;
XX ENEGEP. (2000)
4. Benevides, A. G: A Model-based Graphical Editor for Supporting the Creation,
Verification and Validation of OntoUML Conceptual Models, U. F. d. E. Santo, Ed.
Vitória, Espírito Santo, Brasil: Programa de Pós-Graduação em Informática. Dissertação de
Mestrado. (2010)
9
5. Borsaneli, R., Cury L: Ensaio nº.2: A Inteligência Coletiva e a Árvore do Conhecimento,
(2002) http://www.eca.usp.br/nucleos/cibernetica/Textos/Ensaio %202.pdf, Acesso em 16
de fev. 2011.
6. Caixeta-Filho, J. V.; Martins, R. S: Gestão Logística do Transporte de Cargas. São Paulo:
Atlas. (2001)
7. Caixeta-Filho, J. V.; Martins, R. S. Contratos de Concessão das Ferroviárias. Disponível em
http://www.antt.gov.br/concessaofer/concessionariasfer.asp. Acessed in february, 8
th.
(2011)
8. Donadel, André Coelho: Um Método para Representação de Processos Intensivos em
Conhecimento. Dissertação - UFSC, Santa Catarina, Brasil. (2007)
9. Fowler, Martin. UML Distilled - Applying the standard object modeling language.
Addison-Wesley Longman
10. Guizzardi, G: Uma Abordagem Metodológica de Desenvolvimento para e com Reuso,
Baseada em Ontologias Formais de Domínio, Universidade Federal do Espírito Santo
Dissertação de Mestrado. (2000)
11. Guizzardi, Z: Ontological Foundations for Structural Conceptual Models. Enschede, The
Netherlands: Telematica Instituut Fundamental Research Series. (2005)
12. Ienaga, Celso Hiroo: Competence baased mangement: seminário executivo. São Paulo,
Dextron Consultoria Empresarial. (1988)
13. Jackson, D. "Automating first-order relational logic," in SIGSOFT ’00/FSE-8: Proceedings
of the 8th ACM SIGSOFT international symposium on Foundations of software
engineering, New York (2000) 130-139.
14. Jackson, D: Alloy 3.0 Reference Manual (2004)
15. Kroll, Per; Krutchen, Philippe: The Rational Unified Process made easy: a practitioner's
guide to the RUP, Pearson Education, Inc. (2003)
16. Krutchen, Philippe. The Rational Unified Process: a introduction, Addison Wesley
Longman, Inc., (1999).
17. Larman, Craig: Applying UML and Patterns. Prentice Hall. (2005)
18. Levy, Pierre; Authier, Michel: As Árvores de conhecimentos. São Paulo: Editora Escuta.
(1995)
19. Martins, A. C. F: Refinamento de Diagramas de Classes: Análise e Verificação, U. N. d. L.
.-F. d. C. e. Tecnologia, Ed. Lisboa, Portugal: Departamento de Informática, Dissertação.
(2010)
20. Microsoft Microsoft Office. [Online]. HYPERLINK "http://office.microsoft.com/pt-
br/visio/recursos-e-beneficios-do-visio-2010-HA101631752.aspx"
http://office.microsoft.com/pt-br/visio/recursos-e-beneficios-do-visio-2010-
HA101631752.aspx
21. Microsoft. 2011. Qual edição do Visio 2010 é a correta para você?. [Online].
HYPERLINK "http://office.microsoft.com/pt-br/visio/visio-comparacao-de-edicoes-
FX101838162.aspx"
22. Mizoguchi, R. & Kitamura, Y., Knowledge systematization through ontology engineering -
a key technology for successful intelligent systems,Pacific-Asian Conference on Intelligent
Systems. (2001)
23. Nonaka, I.; Takeuchi, H. 1995: Knowledge Creating Company. New York: Oxford
University Press.
24. Object Management Group. OMG Modeling and Metadata Specifications. [Online].
HYPERLINK "http://www.omg.org/technology/documents/modeling_spec_catalog.htm" \l
"OCL" (2011)
25. Object Management Group, Mar. UML® Resource Page. [Online]. HYPERLINK
"http://www.uml.org/" http://www.uml.org/ (2011)
26. Oliveira, M. C.; Barroso, V. V:. Árvore Serpro de conhecimentos como instrumento da
gestão e mapeamento de competências. International symposium on knowledge
management (ISKM) 2002. Anais. Curitiba - PR. (2002)
10
27. Valentim, Celso S: Modelagem de Conhecimento Estratégico nos Processos de Negócio:
Proposta de um Modelo Suportado pela Metodologia CommonKADS. Dissertação - UFSC,
Santa Catarina, Brasil. (2008)
28. Zamborlini, V: Estudo de Alternativas de Mapeamento de Ontologias da Linguagem
OntoUML para OWL: Abordagens Representação de Informação Temporal, U. F. d. E.
Santo, Ed. Vitória, Espírito Santo, Brasil: Departamento de Informática, Dissertação de
Mestrado. (2010)
11