knowledge management

Abstract: Investigative analysts who work with collections of text documents connect embedded threads of evidence in order to formulate hypotheses about plans and activities of potential interest. As the number of documents and the corresponding number of concepts and entities within the documents grow larger, sense-making processes become more and more difficult for the analysts. We have developed a visual analytic system called Jigsaw that represents documents and their entities visually in order to help analysts examine reports more efficiently and develop theories about potential actions more quickly. Jigsaw provides multiple coordinated views of document entities with a special emphasis on visually illustrating connections between entities across the different documents.

 Visualization;  knowledge management;  analysis;  infovis;  vast;  knowledge-management;  

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Abstract: Purpose – The paper aims to discuss the critical issue of learning and knowledge convergence in knowledge-intensive organizations, and to provide practical guidelines for effective strategies. Design/methodology/approach – The paper brings together previous research in knowledge management and provides a critique for the lack of integration of previous studies with learning, a key process for efficient knowledge management. Stemming from this critique, an integrative framework for knowledge management support from a learning perspective is proposed. Findings – The major contribution is the framework for knowledge management support from a learning perspective, which can guide strategies of effective knowledge and learning management. This framework initiates an interesting discussion of technological issues that can enhance current knowledge management practices. Research limitations/implications – The taxonomy of knowledge management systems provides the basis for an extensive specification of knowledge management strategies. Further research could focus on an instrumental approach to the integrative framework suggested in this paper, to illustrate how it can be used to enhance the integration of learning processes and products in the knowledge management process. Practical implications – The paper is a very useful source of information and impartial advice for strategists, knowledge management officers and people interested in implementing learning and knowledge management in a knowledge-intensive organization. Originality/value – This paper presents a novel taxonomy of knowledge management systems from a learning perspective. Unlike previous literature on knowledge management, this paper makes an explicit claim for integrating knowledge management and learning activities and illustrates how the two can be jointly supported by various knowledge management systems.

 learning;  knowledge management;  

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Abstract: In the research project EPOS1 we build a pro-active, context-sensitive support system to aid the user with his knowledge work, which is mostly about searching, reading, creating, and archiving of documents. In order to avoid distracting the user, the context gathering is realized by installable user observation plugins for standard applications such as Mozilla Firefox and Thunderbird. The main part of this paper is about the definition of a context model for the personal knowledge management domain. The context model incorporates only contextual elements relevant to satisfy the knowledge worker’s potential information need. It stores only information items known to the user (such as links to his own documents, folders, ), as well as, shared ontologies to assure an understanding of the context. The context is modeled in and can be retrieved by context-aware applications from the context support system via an XML-RPC call.

 knowledge management;  Personal Knowledge Management;  

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Abstract: Comprehensive approach linking Knowledge Management, Content Management and Information Management for real-world application

 knowledge management;  

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Abstract: Purpose - <IT>Aims to present the ontology engineering methodology DILIGENT, a methodology focussing on the evolution of ontologies instead of the initial design, thus recognizing that knowledge is a tangible and moving target.</IT> <B>Design/methodology/approach</B> - <IT>First describes the methodology as a whole, then detailing one of the five main steps of DILIGENT. The second part describes case studies, either already performed or planned, and what we learned (or expect to learn) from them.</IT> <B>Findings</B> - <IT>With the case studies it was discovered the strengths and weaknesses of DILIGENT. During the evolution of ontologies, arguments need to be exchanged about the suggested changes. Identifies those kind of arguments which work best for the discussion of ontology changes.</IT> <B>Research implications</B> - <IT>DILIGENT recognizes ontology engineering methodologies like OnToKnowledge or Methontology as proven useful for the initial design, but expands them with its strong focus on the user-centric further development of the ontology and the provided integration of automatic agents in the process of ontology evolution.</IT> <B>Practical implications</B> - <IT>With DILIGENT the experience distilled from a number of case studies and offers the knowledge manager a methodology to work in an ever-changing environment.</IT> <B>Originality/value</B> - <IT>DILIGENT is the first methodology to put focus not on the initial development of the ontology, but on the user and his usage of the ontology, and on the changes introduced by the user. We take the users own view seriously and enable feedback towards the evolution of the ontology, stressing the ontologys role as a shared conceptualisation.</IT>

 knowledge management;  

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Abstract: The National Science Digital Library (NSDL), launched in December 2002, is emerging as a center of innovation in digital libraries as applied to education. As a part of this extensive project, the GetSmart system was created to apply knowledge management techniques in a learning environment. The design of the system is based on an analysis of learning theory and the information search process. Its key notion is the integration of search tools and curriculum support with concept mapping. More than 100 students at the University of Arizona and Virginia Tech used the system in the fall of 2002. A database of more than one thousand student-prepared concept maps has been collected with more than forty thousand relationships expressed in semantic, graphical, node-link representations. Preliminary analysis of the collected data is revealing interesting knowledge representation patterns.

 Knowledge Representation;  digital libraries;  knowledge management;  concept mapping;  Distance Learning;  e-learning;  educational courses;  intelligent tutoring systems;  query formulation;  vocabulary;  GetSmart system;  NSDL;  National Science Digital Library;  curriculum support;  graphical representation;  information search process;  knowledge representation pattern;  learning theory analysis;  node-link representation;  search tool integration;  semantic representation;  student-prepared concept map database;  

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Abstract: Exaxamines critically the origins and basis of 'knowledge management', its components and its development as a field of consultancy practice. Problems in the distinction between 'knowledge' and 'information' are explored, as well as Polanyi's concept of 'tacit knowing'. The concept is examined in the journal literature, the Web sites of consultancy companies, and in the presentation of business schools. The conclusion is reached that 'knowledge management' is an umbrella term for a variety of organizational activities, none of which are concerned with the management of knowledge. Those activities that are not concerned with the management of information are concerned with the management of work practices, in the expectation that changes in such areas as communication practice will enable information sharing.

 knowledge management;  

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Abstract: This white paper analyzes some of the reasons why e-learning has failed, thus far, to deliver on its promise of anytime, anywhere learning. We focus on online self-study courseware as the best example of e-learning content implementation to date and uncover some underlying challenges to adoption of initiatives such as interactivity, a learning- and learner-centered model, learning objects, the emerging e-learning standards and the use of metadata to solve the search and retrieval problem. We recommend a renewed focus on ontologies as machine representations of knowledge domains, and a blended meta data management model as critical parts of an emerging e-learning infrastructure.

 Ontologies;  metadata;  eLearning;  knowledge management;  

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Abstract: The borderless global economy has accentuated the importance of knowledge as the most critical source of competitive advantage. Thus, knowledge management (KM) has become a strategic mandate for most world-class organizations. A key enabler for implementing an effective KM system is advanced information technology (IT). Strategies for developing an enterprise-wide KM system infrastructure with embedded IT are discussed. In particular, this paper discusses the concept of a KM life cycle - knowledge capture, knowledge development, knowledge sharing, and knowledge utilization, and how applications of new IT support each step of the KM practices within and between organizations is suggested.

 knowledge management;  knowledge life-cycle;  

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Abstract: The authors' perspective on KM is human-centered-focusing not on knowledge as information stored in repositories but on a continual process. This process creates knowledge as a byproduct of work, integrates the knowledge in an open and evolving repository, and disseminates it to others in the organization when it is relevant to their work. The authors review the problems and promises of KM from this perspective. They also illustrate the conceptual frameworks and prototype systems they've created to integrate knowledge creation, integration, and dissemination.

 Knowledge construction;  knowledge management;  

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Abstract: Knowledge is a broad and abstract notion that has defined epistemological debate in western philosophy since the classical Greek era. In the past few years, however, there has been a growing interest in treating knowledge as a significant organizational resource. Consistent with the interest in organizational knowledge and knowledge management (KM), IS researchers have begun promoting a class of information systems, referred to as knowledge management systems (KMS). The objective of KMS is to support creation, transfer, and application of knowledge in organizations. Knowledge and knowledge management are complex and multi-faceted concepts. Thus, effective development and implementation of KMS requires a foundation in several rich literatures.

 knowledge management;  

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Abstract: A fundamental aspect of knowledge management is capturing knowledge and expertise created by knowledge workers as they go about their work and making it available to a larger community of colleagues. Technology can support these goals, and knowledge portals have emerged as a key tool for supporting knowledge work. Knowledge portals are single-point-access software systems intended to provide easy and timely access to information and to support communities of knowledge workers who share common goals. In this paper we discuss knowledge portal applications we have developed in collaboration with IBM Global Services, mainly for internal use by Global Services practitioners. We describe the role knowledge portals play in supporting knowledge work tasks and the component technologies embedded in portals, such as the gathering of distributed document information, indexing and text search, and categorization; and we discuss new functionality for future inclusion in knowledge portals. We share our experience deploying and maintaining portals. Finally, we describe how we view the future of knowledge portals in an expanding knowledge workplace that supports mobility, collaboration, and increasingly automated project workflow.

 knowledge management;  

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Abstract: Sorry no abstract available for this article

 knowledge management;  knowledge;  

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Abstract: Many organizations are now realizing that their competitive edge lies mostly in the brainpower-the intellectual capital-of their employees and management. To stay ahead of the pack, companies must leverage their knowledge, internally and externally. But it is not enough to develop lessons-learned databases. Experts now believe the current savior of organizations is knowledge management-the conceptualization, review, consolidation, and action phases of creating, securing, combining, coordinating, and retrieving knowledge-in short, the process of creating value from an organization's intangible assets. Jay Liebowitz, one of the leading knowledge management and expert systems authorities in the world, brings together over thirty articles contributed by the top researchers and practitioners to produce what seems destined to become the key reference for this emerging field. With it you will find: · How to create a knowledge-sharing environment · How senior executives can show tangible benefits using methods that value the intellectual capital-especially the "human capital" within the organization · How knowledge management is not the same as information management · How senior management commitment and involvement are essential to the success of a knowledge management system

 knowledge management;  

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Abstract: Given the increased talk regarding the development of metrics to manage intangible resources, there is a need for a review of the most important tools available to managers for this purpose. This article reviews four measurement systems currently popular among practitioners: i) human resource accounting; ii) economic value added; iii) the balanced scorecard; and iv) intellectual capital. The assumptions and details of each tool are discussed, as well as the operationalisation procedures to apply them correctly. Strengths and shortcomings of each system are also analysed in order to supply “knowledge managers” with the instruction sheet to the knowledge toolbox.

 knowledge management;  

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Abstract: Although knowledge management has been investigated in the context of decision support and expert systems for over a decade, interest in and attention to this topic have exploded recently. But integration of knowledge process design with knowledge system design is strangely missing from the knowledge management literature and practice. The research described in this chapter focuses on knowledge management and system design from three integrated perspectives: 1) reengineering process innovation, 2) expert systems knowledge acquisition and representation, and 3) information systems analysis and design. Through careful analysis and discussion, we integrate these three perspectives in a systematic manner, beginning with analysis and design of the enterprise process of interest, progressively moving into knowledge capture and formalization, and then system design and implementation. Thus, we develop an integrated approach that covers the gamut of design considerations from the enterprise process in the large, through alternative classes of knowledge in the middle, and on to specific systems in the detail. We show how this integrated methodology is more complete than existing developmental approaches and illustrate the use and utility of the approach through a specific enterprise example, which addresses many factors widely considered important in the knowledge management environment. Using the integrated methodology that we develop and illustrate in this chapter, the reader can see how to identify, select, compose and integrate the many component applications and technologies required for effective knowledge system and process design.

 knowledge management;  

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Abstract: The main aim of Knowledge Management (KM) is to connect people to quality knowledge as well as people to people in order to peak performance. This is also the primary goal of Learning Management (LM). In fact, in the world of e-learning, it is more widely recognised that how learning content is used and distributed by learners might be more important than how it is designed. In the last few years, there has been an increasing focus on social software applications and services as a result of the rapid development of Web 2.0 concepts. In this paper, we argue that LM and KM can be viewed as two sides of the same coin, and explore how Web 2.0 technologies can leverage knowledge sharing and learning and enhance individual performance whereas previous models of LM and KM have failed, and present a social software driven approach to LM and KM.

 knowledge management;  

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Abstract: “People are our most important assets”. Intellectual capital has become the primary factor of production. To raise their “corporate IQ”, managers treat workers as if they were customers of learning. This article explores why people learn much more about their jobs in the coffee room than in the classroom. It hypothesizes that equipping people intellectually to prosper will become a corporate discipline every bit as important as marketing or finance. Web services will mark the advent of workflow learning in real-time organizations.

 metadata;  eLearning;  peer-to-peer learning;  knowledge management;  

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