Combining Bottom-up and Top-down Generation of Interactive Knowledge Maps for Enterprise Search

Our research project develops an intranet search engine with concept- browsing functionality, where the user is able to navigate the conceptual level in an interactive, automatically generated knowledge map. This knowledge map visualizes tacit, implicit knowledge, extracted from the intranet, as a network of semantic concepts. Inductive and deductive methods are combined; a text ana- lytics engine extracts knowledge structures from data inductively, and the en- terprise ontology provides a backbone structure to the process deductively. In addition to performing conventional keyword search, the user can browse the semantic network of concepts and associations to find documents and data rec- ords. Also, the user can expand and edit the knowledge network directly. As a vision, we propose a knowledge-management system that provides concept- browsing, based on a knowledge warehouse layer on top of a heterogeneous knowledge base with various systems interfaces. Such a concept browser will empower knowledge workers to interact with knowledge structures.

Sharing evidence of sustainable land management impacts

Ensuring sustainable use of natural resources is crucial for maintaining the basis for our livelihoods. With threats from climate change, disputes over water, biodiversity loss, competing claims on land, and migration increasing worldwide, the demands for sustainable land management (SLM) practices will only increase in the future. For years already, various national and international organizations (GOs, NGOs, donors, research institutes, etc.) have been working on alternative forms of land management. And numerous land users worldwide – especially small farmers – have been testing, adapting, and refining new and better ways of managing land. All too often, however, the resulting SLM knowledge has not been sufficiently evaluated, documented and shared. Among other things, this has often prevented valuable SLM knowledge from being channelled into evidence-based decision-making processes. Indeed, proper knowledge management is crucial for SLM to reach its full potential. Since more than 20 years, the international WOCAT network documents and promotes SLM through its global platform. As a whole, the WOCAT methodology comprises tools for documenting, evaluating, and assessing the impact of SLM practices, as well as for knowledge sharing, analysis and use for decision support in the field, at the planning level, and in scaling up identified good practices. In early 2014, WOCAT’s growth and ongoing improvement culminated in its being officially recognized by the UNCCD as the primary recommended database for SLM best practices. Over the years, the WOCAT network confirmed that SLM helps to prevent desertification, to increase biodiversity, enhance food security and to make people less vulnerable to the effects of climate variability and change. In addi- tion, it plays an important role in mitigating climate change through improving soil organic matter and increasing vegetation cover. In-depth assessments of SLM practices from desertification sites enabled an evaluation of how SLM addresses prevalent dryland threats. The impacts mentioned most were diversified and enhanced production and better management of water and soil degradation, whether through water harvesting, improving soil moisture, or reducing runoff. Among others, favourable local-scale cost-benefit relationships of SLM practices play a crucial role in their adoption. An economic analysis from the WOCAT database showed that land users perceive a large majority of the technologies as having benefits that outweigh costs in the long term. The high investment costs associated with some practices may constitute a barrier to adoption, however, where appropriate, short-term support for land users can help to promote these practices. The increased global concerns on climate change, disaster risks and food security redirect attention to, and trigger more funds for SLM. To provide the necessary evidence-based rationale for investing in SLM and to reinforce expert and land users assessments of SLM impacts, more field research using inter- and transdisciplinary approaches is needed. This includes developing methods to quantify and value ecosystem services, both on-site and off-site, and assess the resilience of SLM practices, as currently aimed at within the EU FP7 projects CASCADE and RECARE.

Semantic technologies in idea management systems: a model for interoperability, linking and filtering

Abstract Idea Management Systems are web applications that implement the notion of open innovation though crowdsourcing. Typically, organizations use those kind of systems to connect to large communities in order to gather ideas for improvement of products or services. Originating from simple suggestion boxes, Idea Management Systems advanced beyond collecting ideas and aspire to be a knowledge management solution capable to select best ideas via collaborative as well as expert assessment methods. In practice, however, the contemporary systems still face a number of problems usually related to information overflow and recognizing questionable quality of submissions with reasonable time and effort allocation. This thesis focuses on idea assessment problem area and contributes a number of solutions that allow to filter, compare and evaluate ideas submitted into an Idea Management System. With respect to Idea Management System interoperability the thesis proposes theoretical model of Idea Life Cycle and formalizes it as the Gi2MO ontology which enables to go beyond the boundaries of a single system to compare and assess innovation in an organization wide or market wide context. Furthermore, based on the ontology, the thesis builds a number of solutions for improving idea assessment via: community opinion analysis (MARL), annotation of idea characteristics (Gi2MO Types) and study of idea relationships (Gi2MO Links). The main achievements of the thesis are: application of theoretical innovation models for practice of Idea Management to successfully recognize the differentiation between communities, opinion metrics and their recognition as a new tool for idea assessment, discovery of new relationship types between ideas and their impact on idea clustering. Finally, the thesis outcome is establishment of Gi2MO Project that serves as an incubator for Idea Management solutions and mature open-source software alternatives for the widely available commercial suites. From the academic point of view the project delivers resources to undertake experiments in the Idea Management Systems area and managed to become a forum that gathered a number of academic and industrial partners. Resumen Los Sistemas de Gestión de Ideas son aplicaciones Web que implementan el concepto de innovación abierta con técnicas de crowdsourcing. Típicamente, las organizaciones utilizan ese tipo de sistemas para conectar con comunidades grandes y así recoger ideas sobre cómo mejorar productos o servicios. Los Sistemas de Gestión de Ideas lian avanzado más allá de recoger simplemente ideas de buzones de sugerencias y ahora aspiran ser una solución de gestión de conocimiento capaz de seleccionar las mejores ideas por medio de técnicas colaborativas, así como métodos de evaluación llevados a cabo por expertos. Sin embargo, en la práctica, los sistemas contemporáneos todavía se enfrentan a una serie de problemas, que, por lo general, están relacionados con la sobrecarga de información y el reconocimiento de las ideas de dudosa calidad con la asignación de un tiempo y un esfuerzo razonables. Esta tesis se centra en el área de la evaluación de ideas y aporta una serie de soluciones que permiten filtrar, comparar y evaluar las ideas publicadas en un Sistema de Gestión de Ideas. Con respecto a la interoperabilidad de los Sistemas de Gestión de Ideas, la tesis propone un modelo teórico del Ciclo de Vida de la Idea y lo formaliza como la ontología Gi2MO que permite ir más allá de los límites de un sistema único para comparar y evaluar la innovación en un contexto amplio dentro de cualquier organización o mercado. Por otra parte, basado en la ontología, la tesis desarrolla una serie de soluciones para mejorar la evaluación de las ideas a través de: análisis de las opiniones de la comunidad (MARL), la anotación de las características de las ideas (Gi2MO Types) y el estudio de las relaciones de las ideas (Gi2MO Links). Los logros principales de la tesis son: la aplicación de los modelos teóricos de innovación para la práctica de Sistemas de Gestión de Ideas para reconocer las diferenciasentre comu¬nidades, métricas de opiniones de comunidad y su reconocimiento como una nueva herramienta para la evaluación de ideas, el descubrimiento de nuevos tipos de relaciones entre ideas y su impacto en la agrupación de estas. Por último, el resultado de tesis es el establecimiento de proyecto Gi2MO que sirve como incubadora de soluciones para Gestión de Ideas y herramientas de código abierto ya maduras como alternativas a otros sistemas comerciales. Desde el punto de vista académico, el proyecto ha provisto de recursos a ciertos experimentos en el área de Sistemas de Gestión de Ideas y logró convertirse en un foro que reunión para un número de socios tanto académicos como industriales.

KATS: A Knowledge Acquisition Tool Based on Electronic Document Processing

This paper describes a particular knowledge acquisition tool for the construction and maintenance of the knowledge model of an intelligent system for emergency management in the field of hydrology. This tool has been developed following an innovative approach directed to end-users non familiarized in computer oriented terminology. According to this approach, the tool is conceived as a document processor specialized in a particular domain (hydrology) in such a way that the whole knowledge model is viewed by the user as an electronic document. The paper first describes the characteristics of the knowledge model of the intelligent system and summarizes the problems that we found during the development and maintenance of such type of model. Then, the paper describes the KATS tool, a software application that we have designed to help in this task to be used by users who are not experts in computer programming. Finally, the paper shows a comparison between KATS and other approaches for knowledge acquisition.

Experiências de uma comunidade de prática sobre desenvolvimento de produtos: iniciativas e tecnologia promovendo aprendizagem e criação de conhecimentos

O processo de desenvolvimento de produto é reconhecido pela literatura como sendo de importância estratégica, mas, apesar disso, existe uma grande dificuldade para se gerenciar este processo, devido a existência de diversas visões parciais sobre sua abrangência e importância, as quais dificultam a integração entre os profissionais que atuam nessa área. No campo de ensino e pesquisa esse fenômeno também ocorre, pois o desenvolvimento de produtos é tratado de maneira incompleta pelas diferentes áreas de conhecimento especializado, criando visões parciais que apresentam linguagem e características próprias, as quais dificultam um entendimento comum dos aspectos desse processo. Para enfrentar esta situação, esse trabalho apresenta a experiência de grupos de pesquisa que formaram uma comunidade de prática em desenvolvimento de produtos, chamada PDPNet (Product Development Process Network), visando minimizar essas visões parciais. Para isso, os membros de tal comunidade envolveram-se no desenvolvimento de iniciativas e atividades conjuntas e têm a sua disposição um portal de conhecimentos para favorecer a sinergia entre os membros, apoiando o ambiente voltado à cooperação e facilitando a troca e criação de conhecimentos, o que é objetivo primordial de uma comunidade de prática. Este trabalho visa relatar e analisar criticamente as características principais da PDPNet, enfocando sua formação, estabelecimento, gestão das iniciativas e atividades para criação de conhecimentos, bem como a tecnologia de informação utilizada. Com esse trabalho, espera-se divulgar essa experiência para o meio acadêmico e empresarial interessado, de forma que suas práticas possam ser propagadas e as dificuldades consideradas. Além disso, espera-se que a análise crítica permita obter subsídios para que seus principais benefícios e dificuldades possam ser identificados e tratados pelos gestores da comunidade.

A framework of lessons learned from community-based marine reserves and its effectiveness in guiding a new coastal management initiative in the Philippines

Community-based coastal resource management has been widely applied within the Philippines. However, small-scale community-based reserves are often inefficient owing to management inadequacies arising because of a lack of local support or enforcement or poor design. Because there are many potential pitfalls during the establishment of even small community-based reserves, it is important for coastal managers, communities, and facilitating institutions to have access to a summary of the key factors for success. Reviewing relevant literature, we present a framework of lessons learned during the establishment of protected areas, mainly in the Philippines. The framework contains summary guidance on the importance of (1) an island location, (2) small community population size, (3) minimal effect of land-based development, (4) application of a bottom-up approach, (5) an external facilitating institution, (6) acquisition of title, (7) use of a scientific information database, (8) stakeholder involvement, (9) the establishment of legislation, (10) community empowerment, (11) alternative livelihood schemes, (12) surveillance, (13) tangible management results, (14) continued involvement of external groups after reserve establishment, and (15) small-scale project expansion. These framework components guided the establishment of a community-based protected area at Danjugan Island, Negros Occidental, Philippines. This case study showed that the framework was a useful guide that led to establishing and implementing a community-based marine reserve. Evaluation of the reserve using standard criteria developed for the Philippines shows that the Danjugan Island protected area can be considered successful and sustainable. At Danjugan Island, all of the lessons synthesized in the framework were important and should be considered elsewhere, even for relatively small projects. As shown in previous projects in the Philippines, local involvement and stewardship of the protected area appeared particularly important for its successful implementation. The involvement of external organizations also seemed to have a key role in the success of the Danjugan Island project by guiding local decision-makers in the sociobiological principles of establishing protected areas. However, the relative importance of each component of the framework will vary between coastal management initiatives both within the Philippines and across the wider Asian region.

Should the knowledge-based economy be a savant or a sage? Wisdom and socially intelligent innovation

Discourse about knowledge-based economies rarely moves beyond the commercialization of science and engineering, and is locked in the discursive limits of functionalism. We argue that these discourses limit the scope of what knowledge-based economies might achieve because they are uninformed by an adequate conception of knowledge. In particular, knowledge management and knowledge-based economy discourse has not included the axiological dimension of knowledge that leads to wisdom. Taking an axiological perspective, we can discuss policy frameworks aimed at producing the social structures needed to bring fully formed and fully functioning knowledge societies into being. We argue that while the dominant discourse of industrial modernity remains rationalist, functionalist, utilitarian and technocratic, knowledge-based economies will resemble a savant rather than a sage. A wisdom-based renaissance of humanistic epistemology is needed to avoid increasing social dysfunction and a lack of wisdom in complex technological societies.

Differences in sharing knowledge interpersonally and via databases: The role of evaluation apprehension and perceived benefits

Knowledge sharing is an essential component of effective knowledge management. However, evaluation apprehension, or the fear that your work may be critiqued, can inhibit knowledge sharing. Using the general framework of social exchange theory, we examined the effects of evaluation apprehension and perceived benefit of knowledge sharing ( such as enhanced reputation) on employees' knowledge sharing intentions in two contexts: interpersonal (i.e., by direct contact between two employees) and database (i.e., via repositories). Evaluation apprehension was negatively associated with knowledge sharing intentions in both contexts while perceived bene. it was only positively associated with knowledge sharing intentions in the database context. Moreover, compared to the interpersonal context, evaluation apprehension was higher and knowledge sharing lower in the database context. Finally, the negative effects of evaluation apprehension upon knowledge sharing intentions were worse when perceived benefits were low compared to when perceived benefits were high.

GESTÃO DO CONHECIMENTO TÁCITO: ESTUDO DE CASOS MÚLTIPLOS NA ÁREA DE DESENVOLVIMENTO DE PRODUTOS DE EMPRESAS DO SETOR AUTOMOBILÍSTICO DO ABC PAULISTA

O presente estudo buscou a compreensão dos motivos que levam as empresas pesquisadas do setor automobilístico a gerir o conhecimento tácito, mediados pela gestão do conhecimento, na área de gestão de desenvolvimento de produtos. As questões de pesquisa que este estudo objetivou responder foram: Como empresas estudadas utilizam o conhecimento tácito para se tornarem mais eficientes e eficazes nas atividades/ operações? De que forma o conhecimento tácito é percebido na organização por parte dos funcionários e gestores? Para responder a estas perguntas houve a investigação de duas empresas do setor automobilístico, na área de desenvolvimento de produtos. Como base teórica para o desenvolvimento do presente estudo autores como Davenport e Prusak (1998), Nonaka e Takeuchi (1997) e Choo (2006) orientam esta pesquisa. A pesquisa abrange duas empresas do ramo automobilístico na região do ABC Paulista, com equivalência no número de funcionários e porte. Dentre os entrevistados há funcionários e gestores de áreas de gestão de projetos e produtos. A metodologia aplicada ao estudo foi de caráter qualitativo por meio de pesquisa exploratória-descritiva, sendo que o método de coleta de dados se deu a partir de entrevistas semiestruturadas. O estudo investigou quais as práticas usadas para a conversão do conhecimento, fatores facilitadores e fatores dificultadores para a conversão do conhecimento e as principais contribuições da aplicação das práticas e iniciativas voltadas gerir o conhecimento tácito, sob a ótica dos gestores e funcionários. Através do presente estudo pode-se verificar que existe a preocupação com a gestão do conhecimento nas empresas estudadas e que há práticas diversas relativas ao conhecimento tácito e que as formas de disseminação deste conhecimento são distintas. Algumas das práticas são os cursos de especialização, brainstorming e lesson learned e conversas informais. Nos fatores facilitadores há a troca de informação entre os pares, reuniões semanais, equipes multidisciplinares/ multifuncionais. Nos fatores dificultadores há a indicação de questões comportamentais, acúmulo de funções e tempo para partilhar informações.

GESTÃO DO CONHECIMENTO TÁCITO: ESTUDO DE CASOS MÚLTIPLOS NA ÁREA DE DESENVOLVIMENTO DE PRODUTOS DE EMPRESAS DO SETOR AUTOMOBILÍSTICO DO ABC PAULISTA.

O presente estudo buscou a compreensão dos motivos que levam as empresas pesquisadas do setor automobilístico a gerir o conhecimento tácito, mediados pela gestão do conhecimento, na área de gestão de desenvolvimento de produtos. As questões de pesquisa que este estudo objetivou responder foram: Como empresas estudadas utilizam o conhecimento tácito para se tornarem mais eficientes e eficazes nas atividades/ operações? De que forma o conhecimento tácito é percebido na organização por parte dos funcionários e gestores? Para responder a estas perguntas houve a investigação de duas empresas do setor automobilístico, na área de desenvolvimento de produtos. Como base teórica para o desenvolvimento do presente estudo autores como Davenport e Prusak (1998), Nonaka e Takeuchi (1997) e Choo (2006) orientam esta pesquisa. A pesquisa abrange duas empresas do ramo automobilístico na região do ABC Paulista, com equivalência no número de funcionários e porte. Dentre os entrevistados há funcionários e gestores de áreas de gestão de projetos e produtos. A metodologia aplicada ao estudo foi de caráter qualitativo por meio de pesquisa exploratória-descritiva, sendo que o método de coleta de dados se deu a partir de entrevistas semiestruturadas. O estudo investigou quais as práticas usadas para a conversão do conhecimento, fatores facilitadores e fatores dificultadores para a conversão do conhecimento e as principais contribuições da aplicação das práticas e iniciativas voltadas gerir o conhecimento tácito, sob a ótica dos gestores e funcionários. Através do presente estudo pode-se verificar que existe a preocupação com a gestão do conhecimento nas empresas estudadas e que há práticas diversas relativas ao conhecimento tácito e que as formas de disseminação deste conhecimento são distintas. Algumas das práticas são os cursos de especialização, brainstorming e lesson learned e conversas informais. Nos fatores facilitadores há a troca de informação entre os pares, reuniões semanais, equipes multidisciplinares/ multifuncionais. Nos fatores dificultadores há a indicação de questões comportamentais, acúmulo de funções e tempo para partilhar informações.

Using HLT for acquiring, retrieving and publishing knowledge in AKT:position paper

AKT is a major research project applying a variety of technologies to knowledge management. Knowledge is a dynamic, ubiquitous resource, which is to be found equally in an expert's head, under terabytes of data, or explicitly stated in manuals. AKT will extend knowledge management technologies to exploit the potential of the semantic web, covering the use of knowledge over its entire lifecycle, from acquisition to maintenance and deletion. In this paper we discuss how HLT will be used in AKT and how the use of HLT will affect different areas of KM, such as knowledge acquisition, retrieval and publishing.

Knowledge maintenance and the frame problem

Knowledge maintenance is a major challenge for both knowledge management and the Semantic Web. Operating over the Semantic Web, there will be a network of collaborating agents, each with their own ontologies or knowledge bases. Change in the knowledge state of one agent may need to be propagated across a number of agents and their associated ontologies. The challenge is to decide how to propagate a change of knowledge state. The effects of a change in knowledge state cannot be known in advance, and so an agent cannot know who should be informed unless it adopts a simple ‘tell everyone – everything’ strategy. This situation is highly reminiscent of the classic Frame Problem in AI. We argue that for agent-based technologies to succeed, far greater attention must be given to creating an appropriate model for knowledge update. In a closed system, simple strategies are possible (e.g. ‘sleeping dog’ or ‘cheap test’ or even complete checking). However, in an open system where cause and effect are unpredictable, a coherent cost-benefit based model of agent interaction is essential. Otherwise, the effectiveness of every act of knowledge update/maintenance is brought into question.

Background and foreground knowledge in dynamic ontology construction

Ontologies have become a key component in the Semantic Web and Knowledge management. One accepted goal is to construct ontologies from a domain specific set of texts. An ontology reflects the background knowledge used in writing and reading a text. However, a text is an act of knowledge maintenance, in that it re-enforces the background assumptions, alters links and associations in the ontology, and adds new concepts. This means that background knowledge is rarely expressed in a machine interpretable manner. When it is, it is usually in the conceptual boundaries of the domain, e.g. in textbooks or when ideas are borrowed into other domains. We argue that a partial solution to this lies in searching external resources such as specialized glossaries and the internet. We show that a random selection of concept pairs from the Gene Ontology do not occur in a relevant corpus of texts from the journal Nature. In contrast, a significant proportion can be found on the internet. Thus, we conclude that sources external to the domain corpus are necessary for the automatic construction of ontologies.

Knowledge representation with ontologies:the present and future

Recently, we have seen an explosion of interest in ontologies as artifacts to represent human knowledge and as critical components in knowledge management, the semantic Web, business-to-business applications, and several other application areas. Various research communities commonly assume that ontologies are the appropriate modeling structure for representing knowledge. However, little discussion has occurred regarding the actual range of knowledge an ontology can successfully represent.

Operations management II

These three volumes build on Volumes One to Three, they consider more specific aspects of Operations Management, including technology, important issues arising from the global business perspective and key concepts relating to innovation, knowledge management and improving the operations system. Papers are included on the following key areas: Volume Four: Technology and Operations Management Volume Five: International Operations, Networks and the Environmental Context Volume Six: Innovation, Knowledge and Operations Improvement