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There are many different organizations devote to the methods of software development knowledge, including Software Engineering Institute (SEI), Project Management Institute (PMI), Industrial Development Bureau of Ministry of Economic Affairs, Institute for Information Industry, Information Service Industry Association of R.O.C., and so on.However, many small-and-medium-size software development companies apply the methods without considering self-ability and the situation which they are at. I t is easy to be in conflict with internal habit and culture and make a minus effect of promoting management ability. Therefore, my research will be based on the methodology of commonKADS knowledge engineering and software. First, analyze the enterprise¡¦s current management procedures and the relations among procedures, and then compare with external management knowledge, such as CMMI etc. for structuring the framework of knowledge management system model in order that enterprises can easily develop the proper method of management according to the situation.

Made available in DSpace on 2016-08-17T14:53:03Z (GMT). No. of bitstreams: 1 Claudio Henrique.pdf: 2293947 bytes, checksum: 295cf028346110498a2ca8201da82769 (MD5) Previous issue date: 2007-06-22 / This paper aims at detecting frauds in municipal taxes, using a multi-agent system. To attain such objective, it presents some of the stages of the software development and the implementation of some agents. The paper also proposes the behavior modeling of contributors, obtained from historical data from their actions and from behavior inference functions. That model, after being validated, with the use of data from São Luís County Hall, was transformed in agent. In the stages of analysis and design of the system, the methodologies MAS-Common KADS and the ontology ONTOMADEM (this one based in MADEM Multi-Agent Domain Engineering Methodology), were used. In the stage of development, JADE (Java Agent Development Framework) ambience and the PROTÉGÉ for JADE plug-ins were used, besides JESS, used to implement the ontologies and the rules. / Este trabalho tem por objetivo principal a detecção de fraudes em impostos municipais, utilizando sistema multi-agentes. Para se atingir tal objetivo, apresentam-se algumas das fases de desenvolvimento do software e a implementação de alguns agentes. Propõe-se também a modelagem comportamental de contribuintes obtida a partir de dados históricos de suas ações e de funções de inferência de comportamento. Esse modelo, após validado com a utilização de dados da Prefeitura de São Luís, foi transformado em agente. Nas fases de análise e projeto do sistema, utilizaram-se as metodologias MAS-CommonKADS e a ontologia ONTOMADEM, esta baseada na MADEM (Multi-Agente Domain Engineering Methodology). Na fase de desenvolvimento, foram utilizados o ambiente JADE (Java Agent Development Framework) e os plugins do PROTÉGÉ para JADE, além do JESS, usado para implementar as ontologias e as regras.

When selecting life-insurance a person has to rely on subjective decisions of insurance agents or try to analyze all existing life-insurance products for himself. Not only there is a considerable amount of life-insurance products, but also their rules differ significantly. Therefore, a person who wants to choose the best life-insurance for himself must dedicated vast time to this task and have a great understanding of life-insurance in general. The outlined best life-insurance problem is solved by designing the Best Life Insurance Selection System, which is able to assess person’s finance liabilities, determine which type of life-insurance and on what conditions he needs, and where he is able to purchase it. The Most Suitable Life-Insurance Selection System designed in this work was subdivided into the following subsystems: Information about Life-Insurance, Finance Liabilities Assessment, Life-Insurance Type Selection, Conditions of Life-Insurance Selection, and the Best Life-Insurance Selection subsystems. The Life-Insurance Type Selection subsystem design was based on CommonKADS knowledge engineering methodology.

Certains facteurs (terrain, travail et capital) étaient considérés comme accessibles, suffisants et à la base même de la compétitivité économique. La connaissance cependant n'avait pas retenu beaucoup d'attention. Actuellement, c'est l’ère de l'économie basée sur la connaissance qui est impactée par l'usage croissant des technologies de l’information. Les facteurs de la production cités auparavant s’avèrent ainsi insuffisants pour maintenir l'avantage compétitif de l’entreprise et la connaissance est sensée jouer un rôle clé dans ce contexte. L'étude de Yoong et Molina montre que le seul moyen de survivre dans un environnement de plus en plus concurrentiel est que les PMEs forment des alliances stratégiques ou des fusions avec d’autres entreprises semblables ou complémentaires. Les résultats de leur étude prônent le concept du «cluster industriel», proposé initialement par Michael Porter en 1990. Ainsi, les gouvernements essayent de soutenir ces PMEs via des moyens financiers, des stratégies politiques ou encore des promotions à l’import/export.Cependant, un grand nombre de PMEs n’arrive pas à survivre dans le contexte de concurrence du marché mondial. Les nouveaux facteurs clés du succès, mis en évidence par ces recherches, sont principalement le partage des connaissances et la collaboration au sein du cluster. Ainsi, l’application d’une approche de gestion des connaissances pour le développement du cluster devrait permettre à ces entreprises d’acquérir plus d’efficacité dans la réalisation de leurs objectifs. Pour répondre à la problématique générale de ce travail de thèse, nous avons organisé notre travail en quatre niveaux. Tout d’abord le niveau contextuel qui se concentre sur le modèle du cluster, son modèle organisationnel et le modèle des tâches induites. Le second niveau, dit conceptuel, est axé sur le modèle de connaissance et de collaboration. Ensuite, le niveau de conception se concentre sur la conversion des exigences en architecture, scenarios et spécifications. Enfin, le niveau relatif à la mise en œuvre a pour but de développer le système KMS en tenant compte des spécificités données dans le niveau précédant.L’architecture KMS proposée est divisée en trois niveaux de service i.e. le service de connaissance, le service de collaboration et le service de présentation. Le service de connaissance est le cœur du système puisqu’il permet aux membres du cluster de représenter, partager, et réutiliser la connaissance à travers le KMS. L’infrastructure de ce service est basée sur la technologie FLEX, qui permet de créer un GUI (Graphique User Interface) avec les utilisateurs et donne l’accès à un service web sur un serveur. Le concept de carte de connaissance a été pris en compte en tant que moyen permettant d’échanger la connaissance dans ce niveau. Nous avons développé un service de collaboration dans l’intention de renforcer les activités collaboratives du cluster industriel. Ces cartes ont aussi pour mission de faire circuler la connaissance de l’expert aux utilisateurs, et ceci, au bon moment et au bon endroit. De ce fait, nous avons développé ce niveau avec les technologies PHP et Ajax.Finalement, le service de présentation s’attache à visualiser et personnaliser tous les services fournis par le KMS pour les utilisateurs de manière optimale. L’objectif principal de ce service est d’intégrer harmonieusement le KMS dans les activités du cluster. Nous avons donc développé un outil d’informatique de connaissance (Knowledge Widget) qui est en fait une application légère destinée au client pour personnaliser le KMS dans le rôle qu’il doit jouer pour chaque groupe.En conclusion, les résultats explicites de cette étude peuvent être divisés en deux parties. La première concerne la méthodologie d’évaluation du KMS pour le cluster. Cette méthodologie peut aussi être généralisée à d’autres clusters dans différents domaines.... / The knowledge-based economy forces SMEs to form strategic alliances or merge with other similar or business companies in order to compete in the world markets. In the meantime, the concept of the industry cluster was widely implemented in many developing and developed countries for improving the competitiveness of their industries. Although many clusters have successful to develop their competitiveness, large numbers of them have failed. The study of Ecotec [DTI 05] which focuses on the key success factors of the cluster development stated that the two factors of the cluster development are collaboration and knowledge sharing among the cluster members. Thus, the principle of this study is to enhance the cluster by adopting the notion of the knowledge management which focuses on creation, representation, sharing, and reusing the knowledge. Therefore, Knowledge Management System (KMS) architecture for the cluster is proposed in this study in order to support these processes. We propose a “Model Suite” for analyzing and designing the KMS which comprises four levels:Firstly, the context level focuses on the cluster organizational analysis, which will present a global view of the actors, knowledge assets, and knowledge-intensive tasks of the specific cluster. Secondly, the concept level focuses on the knowledge itself by modeling the experts’ knowledge into the explicit form. Moreover, it also examines the collaboration model of the cluster. Thirdly, the design level aims at extracting cluster’s requirements into the system specification in order to be transferred to the implementation level. In this level, the information system is generated from different technologies for supporting the needs of the cluster organization. The KMS which is an outcome of the Model Suite is applied to a handicraft cluster in Thailand as our case study. It allows cluster members to create, share, and reuse the knowledge via a collaborative knowledge card module which is proposed in our study. The scenarios are presented in order to demonstrate how the KMS improves the collaboration and knowledge sharing among the members. Moreover, we also present the integration of the knowledge and collaboration services of the system in order to facilitate the knowledge users to retrieve the knowledge from the system via mobile device anywhere and anytime.

Made available in DSpace on 2016-08-17T14:52:46Z (GMT). No. of bitstreams: 1 Jose Pinheiro de Moura.pdf: 2210496 bytes, checksum: 1838e13fe37d76069ab54519b694f6e6 (MD5) Previous issue date: 2003-04-15 / In this work is presented the development and implementation of an Expert System to detect faults and decision making over the faults of mineral belt conveyors. This system applies artificial intelligence techniques to help the operator s decision making during the production process. It uses the CommonKADS reference methodology for knowledge acquisition and modeling. In this approach is also emphasized the difficulties in getting accurate and qualitative information, to support the decision making, and provide the users with highly trustable mechanisms able to analyze, select and drive to them the right information, meeting the demanded requisites for optimum performance during the operation of the belt conveyor. / Neste trabalho apresenta-se o desenvolvimento e implementação de um sistema especialista para identificação de falhas e tomada de decisão em correias transportadoras de minério. Este sistema aplica técnicas de inteligência artificial para auxiliar o operador na tomada de decisão durante o processo produtivo. Utiliza-se a metodologia de referência CommonKADS para aquisição e modelagem do conhecimento. Neste trabalho também enfatiza-se as dificuldades para obter informação, precisa e qualitativa, para apoiar tomadores de decisão e fornecer aos usuários um mecanismo altamente confiável para analisar, selecionar e direcionar-lhes a informação correta, desta forma cumprindo os requisitos exigidos para o desempenho ótmo da produtividade durante a operação de uma correia transportadora de minério.

Gestão de conhecimento busca criar, adquirir, compartilhar e utilizar ativos de conhecimento produzidos ou dispersos na organização, de forma a garantir o controle pela organização de um importante componente de seu produto ou serviço. A engenharia de conhecimento fornece os instrumentos que permitem identificar as fontes de conhecimento, e ajuda a extrair e modelar esse conhecimento, quando de fontes humanas, de forma a utilizá-lo de forma independente das pessoas. Este trabalho apresenta um estudo de caso no desenvolvimento de um projeto de gestão de conhecimento para a área de produção de uma empresa que atua na fabricação de papel, com um modelo de processo contínuo. O modelo de produção é particularmente interessante pelo fato de sofrer permanente monitoração e eventuais ações de reparo, cujo efeito será sentido apenas no final do processo produtivo. Ações erradas ou ineficientes acarretam significativas perdas de produto, com grande impacto no ganho da empresa. O objetivo deste trabalho é a identificação dos conhecimentos envolvidos na detecção de desvios de padrão no processo produtivo e nas ações de reparo para produção de papel. A partir do estudo do processo e da identificação dos insumos de conhecimento, foi proposto um modelo da área de produção onde são mapeados os ativos de conhecimentos, os processos e agentes que utilizam esses conhecimentos. Esse modelo foi racionalizado de forma a otimizar a utilização do conhecimento e homogeneizar o processo de solução de problemas de acordo com o padrão desejado pela empresa. A Metodologia CommonKADS foi utilizada para conduzir o desenvolvimento desse modelo. Esse trabalho demonstrou que a tarefa de monitoração e reparo da linha de produção utiliza conhecimentos tácitos ou não estruturados para a solução de problemas, juntamente com o conhecimento explícito obtido através de treinamento ou orientação da organização. Como resultado, a qualidade da solução será diferente dependendo do agente responsável pela monitoração naquele momento. Através das técnicas de entrevistas, análise de protocolo, observações e repertory grid, esses conhecimentos foram explicitados e formalizados, sendo disponibilizados como normas para todos os agentes, atingindo uma desejável homogeneidade no processo produtivo que leva a diminuição do refugo de produção. A suite de modelos da organização, tarefa, comunicação e agentes de Common KADS foi avaliada como ferramenta de suporte à identificação e formalização dos insumos de conhecimento da organização. Foi proposto um modelo OM-6 a ser incluído como um modelo da organização para avaliação dos procedimentos de correção. O modelo obtido é a etapa inicial para o projeto de um sistema de conhecimento que automatize a tarefa de monitoração e reparo do processo de produção de papel. / Knowledge management aims to create, acquire, share and employ knowledge issues produced or disseminated in the organisation, in order to guarantee the full control over an important component of the organisation product and service. Knowledge engineering provides adequate tools to identify the knowledge sources and helps in extracting and modelling the knowledge, allowing to be employed in human independent way. This work presents the results of a detailed study about the development of a knowledge management project for a production area in a filter paper factory, whose production line is carry out as a continuous process. The production model is particularly interesting because the process demands continuous and permanent monitoring, but the effectiveness of the corrective actions can be perceived only in the final stage of the production process. Wrong actions cause significant amount of the product rejection with strong impact in the company returns. The goal of this study is identifying the knowledge applied by agents in detecting pattern deviation in the production process and in the repair actions during the paper production. A model of the production area, mapping knowledge issues, agents and tasks, was proposed from the acknowledgement of the process and the knowledge assets. This model was rationalised in order to improve the effectiveness of the knowledge application and guarantee an homogeneous problem-solving process, according to the company standard. The CommonKADS methodology defines the model development. This work demonstrates that, during the monitoring and repair task, the agents apply tacit unstructured knowledge, besides the explicit knowledge acquired through training into the organisation, to achieve the solution. The result will be a dependence between the agent and the quality of the production. These knowledge were made explicit and formalised through the use of interviews, protocol analysis and repertory grid, and was further shared as norms to the whole team of agents. These norms provide a desirable homogeneity in the production process leading to a reduction on the production refuse. The CommonKADS model suit – organisation, task, communication and agent models – was evaluated as a supporting tool to the identification and formalisation of organisation knowledge. An additional model, called OM-6, was proposed as an extension to the CommonKADS suit to support for valuation of the correction procedures. The obtained organization model is the first step in a knowledge system project for the automation of the monitoring and repair tasks in the paper production process.

Gestão de conhecimento busca criar, adquirir, compartilhar e utilizar ativos de conhecimento produzidos ou dispersos na organização, de forma a garantir o controle pela organização de um importante componente de seu produto ou serviço. A engenharia de conhecimento fornece os instrumentos que permitem identificar as fontes de conhecimento, e ajuda a extrair e modelar esse conhecimento, quando de fontes humanas, de forma a utilizá-lo de forma independente das pessoas. Este trabalho apresenta um estudo de caso no desenvolvimento de um projeto de gestão de conhecimento para a área de produção de uma empresa que atua na fabricação de papel, com um modelo de processo contínuo. O modelo de produção é particularmente interessante pelo fato de sofrer permanente monitoração e eventuais ações de reparo, cujo efeito será sentido apenas no final do processo produtivo. Ações erradas ou ineficientes acarretam significativas perdas de produto, com grande impacto no ganho da empresa. O objetivo deste trabalho é a identificação dos conhecimentos envolvidos na detecção de desvios de padrão no processo produtivo e nas ações de reparo para produção de papel. A partir do estudo do processo e da identificação dos insumos de conhecimento, foi proposto um modelo da área de produção onde são mapeados os ativos de conhecimentos, os processos e agentes que utilizam esses conhecimentos. Esse modelo foi racionalizado de forma a otimizar a utilização do conhecimento e homogeneizar o processo de solução de problemas de acordo com o padrão desejado pela empresa. A Metodologia CommonKADS foi utilizada para conduzir o desenvolvimento desse modelo. Esse trabalho demonstrou que a tarefa de monitoração e reparo da linha de produção utiliza conhecimentos tácitos ou não estruturados para a solução de problemas, juntamente com o conhecimento explícito obtido através de treinamento ou orientação da organização. Como resultado, a qualidade da solução será diferente dependendo do agente responsável pela monitoração naquele momento. Através das técnicas de entrevistas, análise de protocolo, observações e repertory grid, esses conhecimentos foram explicitados e formalizados, sendo disponibilizados como normas para todos os agentes, atingindo uma desejável homogeneidade no processo produtivo que leva a diminuição do refugo de produção. A suite de modelos da organização, tarefa, comunicação e agentes de Common KADS foi avaliada como ferramenta de suporte à identificação e formalização dos insumos de conhecimento da organização. Foi proposto um modelo OM-6 a ser incluído como um modelo da organização para avaliação dos procedimentos de correção. O modelo obtido é a etapa inicial para o projeto de um sistema de conhecimento que automatize a tarefa de monitoração e reparo do processo de produção de papel. / Knowledge management aims to create, acquire, share and employ knowledge issues produced or disseminated in the organisation, in order to guarantee the full control over an important component of the organisation product and service. Knowledge engineering provides adequate tools to identify the knowledge sources and helps in extracting and modelling the knowledge, allowing to be employed in human independent way. This work presents the results of a detailed study about the development of a knowledge management project for a production area in a filter paper factory, whose production line is carry out as a continuous process. The production model is particularly interesting because the process demands continuous and permanent monitoring, but the effectiveness of the corrective actions can be perceived only in the final stage of the production process. Wrong actions cause significant amount of the product rejection with strong impact in the company returns. The goal of this study is identifying the knowledge applied by agents in detecting pattern deviation in the production process and in the repair actions during the paper production. A model of the production area, mapping knowledge issues, agents and tasks, was proposed from the acknowledgement of the process and the knowledge assets. This model was rationalised in order to improve the effectiveness of the knowledge application and guarantee an homogeneous problem-solving process, according to the company standard. The CommonKADS methodology defines the model development. This work demonstrates that, during the monitoring and repair task, the agents apply tacit unstructured knowledge, besides the explicit knowledge acquired through training into the organisation, to achieve the solution. The result will be a dependence between the agent and the quality of the production. These knowledge were made explicit and formalised through the use of interviews, protocol analysis and repertory grid, and was further shared as norms to the whole team of agents. These norms provide a desirable homogeneity in the production process leading to a reduction on the production refuse. The CommonKADS model suit – organisation, task, communication and agent models – was evaluated as a supporting tool to the identification and formalisation of organisation knowledge. An additional model, called OM-6, was proposed as an extension to the CommonKADS suit to support for valuation of the correction procedures. The obtained organization model is the first step in a knowledge system project for the automation of the monitoring and repair tasks in the paper production process.

Gestão de conhecimento busca criar, adquirir, compartilhar e utilizar ativos de conhecimento produzidos ou dispersos na organização, de forma a garantir o controle pela organização de um importante componente de seu produto ou serviço. A engenharia de conhecimento fornece os instrumentos que permitem identificar as fontes de conhecimento, e ajuda a extrair e modelar esse conhecimento, quando de fontes humanas, de forma a utilizá-lo de forma independente das pessoas. Este trabalho apresenta um estudo de caso no desenvolvimento de um projeto de gestão de conhecimento para a área de produção de uma empresa que atua na fabricação de papel, com um modelo de processo contínuo. O modelo de produção é particularmente interessante pelo fato de sofrer permanente monitoração e eventuais ações de reparo, cujo efeito será sentido apenas no final do processo produtivo. Ações erradas ou ineficientes acarretam significativas perdas de produto, com grande impacto no ganho da empresa. O objetivo deste trabalho é a identificação dos conhecimentos envolvidos na detecção de desvios de padrão no processo produtivo e nas ações de reparo para produção de papel. A partir do estudo do processo e da identificação dos insumos de conhecimento, foi proposto um modelo da área de produção onde são mapeados os ativos de conhecimentos, os processos e agentes que utilizam esses conhecimentos. Esse modelo foi racionalizado de forma a otimizar a utilização do conhecimento e homogeneizar o processo de solução de problemas de acordo com o padrão desejado pela empresa. A Metodologia CommonKADS foi utilizada para conduzir o desenvolvimento desse modelo. Esse trabalho demonstrou que a tarefa de monitoração e reparo da linha de produção utiliza conhecimentos tácitos ou não estruturados para a solução de problemas, juntamente com o conhecimento explícito obtido através de treinamento ou orientação da organização. Como resultado, a qualidade da solução será diferente dependendo do agente responsável pela monitoração naquele momento. Através das técnicas de entrevistas, análise de protocolo, observações e repertory grid, esses conhecimentos foram explicitados e formalizados, sendo disponibilizados como normas para todos os agentes, atingindo uma desejável homogeneidade no processo produtivo que leva a diminuição do refugo de produção. A suite de modelos da organização, tarefa, comunicação e agentes de Common KADS foi avaliada como ferramenta de suporte à identificação e formalização dos insumos de conhecimento da organização. Foi proposto um modelo OM-6 a ser incluído como um modelo da organização para avaliação dos procedimentos de correção. O modelo obtido é a etapa inicial para o projeto de um sistema de conhecimento que automatize a tarefa de monitoração e reparo do processo de produção de papel. / Knowledge management aims to create, acquire, share and employ knowledge issues produced or disseminated in the organisation, in order to guarantee the full control over an important component of the organisation product and service. Knowledge engineering provides adequate tools to identify the knowledge sources and helps in extracting and modelling the knowledge, allowing to be employed in human independent way. This work presents the results of a detailed study about the development of a knowledge management project for a production area in a filter paper factory, whose production line is carry out as a continuous process. The production model is particularly interesting because the process demands continuous and permanent monitoring, but the effectiveness of the corrective actions can be perceived only in the final stage of the production process. Wrong actions cause significant amount of the product rejection with strong impact in the company returns. The goal of this study is identifying the knowledge applied by agents in detecting pattern deviation in the production process and in the repair actions during the paper production. A model of the production area, mapping knowledge issues, agents and tasks, was proposed from the acknowledgement of the process and the knowledge assets. This model was rationalised in order to improve the effectiveness of the knowledge application and guarantee an homogeneous problem-solving process, according to the company standard. The CommonKADS methodology defines the model development. This work demonstrates that, during the monitoring and repair task, the agents apply tacit unstructured knowledge, besides the explicit knowledge acquired through training into the organisation, to achieve the solution. The result will be a dependence between the agent and the quality of the production. These knowledge were made explicit and formalised through the use of interviews, protocol analysis and repertory grid, and was further shared as norms to the whole team of agents. These norms provide a desirable homogeneity in the production process leading to a reduction on the production refuse. The CommonKADS model suit – organisation, task, communication and agent models – was evaluated as a supporting tool to the identification and formalisation of organisation knowledge. An additional model, called OM-6, was proposed as an extension to the CommonKADS suit to support for valuation of the correction procedures. The obtained organization model is the first step in a knowledge system project for the automation of the monitoring and repair tasks in the paper production process.

ERP software and applications have become basic requirement of almost every organization in order to compete with each other and in time constraint. In order to develop an efficient application, project planning and analysis play very important role in better understanding of the problem domain and to provide a risk free solution. There are many different approaches which software developers used to develop the systems. These traditional approaches have some drawbacks and constraints. Either these are ad-hoc basis or have some fixed patterns and rules. We discussed all these techniques and suggest that planning and analysis of ERP application during its development can be done by applying more appropriate knowledge engineering commonKADS model. CommonKADS is a structured approach, It comprises of different model suites. Thesis presents that by using commonKADS model for project planning and analysis, real problem domain and efficient solution can be identified. Also domain process is identified. Tasks related to each process in the domain are identified. Knowledge assets related to each task are identified. These features help in defining real knowledge specification. In this way, ERP applications can be made knowledge based. ERP systems were introduced to solve different organizational problems and provide integrated structure. Although ERP packages offer advantages to enterprises, they have not achieved many of their anticipated benefits. Autonomous and heterogeneous applications co-exist in companies with ERP systems and integration problem having not been addressed. This thesis seeks to make some suggestions to this area by studying and analyzing ERP problems, through mapping commonKADS methodology in a case study. Thesis in start, presents an overview about ERP applications, Knowledge Engineering and commonKADS methodology. In the end, thesis presents our contribution a case study ―online courses Registration Portal for BTH which shows that planning and analysis of ERP applications by using commonKADS methodology helps in reaching knowledge based and more accurate solutions. / Syed Abdul Basit basitbth@gmail.com, Omar Malik omar_m20@hotmail.com.