We present iMapping, a diagrammatic zooming and nesting based approach for visually structuring information objects on the desktop with a special focus on personal knowledge management. It was designed based on a set of requirements gathered from the analysis of existing knowledge mapping techniques from a cognitive science point of view. We also briefly introduce a prototypical implementation.
Knowledge-intensive organizations that carry out many Knowledge-Intensive Business Processes (KIBP), seek to improve and enhance their KIBP for gaining competitive advantages. These organizations need to develop their Knowledge Management (KM) infrastructure of KIBP, starting from knowledge audit that is a necessary first step in any KM initiative. As KM infrastructure integrates social and technological disciplines, we developed a combined Socio-Engineering Knowledge Audit Methodology (SEKAM) for a systematic audit of the KM infrastructure in the context of KIBP. In this paper we present and discuss the conceptual framework of SEKAM and its instruments developed in this research.
Bringing together knowledge bearers is a crucial factor for innovation in highperformance sports. Since the capabilities of a growing amount of nations are converging, every detail counts to win a competition. To harness the competence, experience and knowledge of various stakeholders, the Innovation Network Alpine Skiing has developed a custom-designed knowledge and idea management system. Having adapted Web 2.0 technologies to the requirements of innovation in the special environment of high-performance sports, the knowledge workers are enabled to easily contribute to the innovation process. The Wiki-based solution called “SkiBaserl”1 is successfully used in several development projects within the German Skiing Association. This article delivers an outline of the development process, the implementation and an evaluation of the tool.
An important activity for the learner while learning is the reflection on the learning path and strategy. So far, not many tools provide an automatic support for the reflection on the learning activities. Here, we describe our approach to enable reflection with the help of usage and contextual metadata. We describe how we capture usage information and provide algorithms like the identification of similar users, contents and tools for reflection like a learner Zeitgeist application or the elicitation of learning paths.
30.000 advisory calls per year! How to analyze, rate and improve them interactively? For getting these goals a novel technique is introduced, which is based on a structure similar to a music score. Via a “duet”, guided by the advisor called, the main contents of the dialogue are extracted and stored automatically. At this, trained speech recognition is applied for the (known) advisor’s part for monitoring and controlling the call’s course, and keyword spotting is used for the (unknown) “customer” to pick out instances from sets of expected values. The results thereof fill an abstract score annotated to the call conducted. Then, because of the strong structure of such scores, the archive of all these dialogues is an ideal base for retrieval, exploration, comparison and clustering of calls, using e.g. graphical tools like knowCube®.
With the advent of more light-weight technologies for connecting contents and functions provided by diverse application systems, called mashups, also individuals with their personal knowledge environments can benefit from arranging services flexibly to help them fulfil their knowledge needs. These personal, collaborative initiatives are often associated with trial-and-error, grass-roots level approaches which need an organizational and technical infrastructure to guide them without loosing the momentum created in these fragmented knowledge management activities performed by individuals, communities or in projects in an organization. Based on a discussion of these issues, this paper outlines the foundations for a knowledge service governance model to guide these activities.
This paper proposes an approach for automatically extracting symptoms associated to a given disease from semantic-based descriptions of health records of patients affected by an investigated pathology. The proposal implements non-standard reasoning services developed in Description Logics for the individuation of informative commonalities in concept collections and can make significantly easier the diagnosis process of rare and unknown diseases.
Professional translation services are often perceived as quite expensive and people tend to go for the lowest price possible when commissioning a translation. To stay capable of competing with lay translators, professional translators have to continuously increase the efficiency of their work process. Researching information consumes a considerable part of the time needed for producing a high-quality translation. This work evaluates whether Web 2.0 applications with their social and collaborative characteristics have the potential to support the professional translator in his daily work. Here the main focus of attention is on a possible increase in efficiency of search and knowledge management processes. In phase one of the study we conducted a survey to determine the translator’s preferred search tactics, knowledge resources, and communication channels. Secondly, we conducted user tests on a Web 2.0 social media sharing platform followed by open interviews to find further evidence for the potential of Web 2.0-based collaborative applications in the professional translator’s business.
The paper makes an attempt to develop a business classification scheme for organizing information assets in an international organization. It proposes a conceptual model, to explain and enhance the understanding of complex issues involved in the organization of information in international knowledge-based organizations. Eight different international organizations were studied, including the European Union (EU), the International Atomic Energy Agency (IAEA), the International Maritime Organization (IMO), the OPEC Fund for International Development (OFID), the Organization of the Petroleum Exporting Countries (OPEC), the Organization for Security and Co-operation in Europe (OSCE), the United Nations Industrial Development Organization (UNIDO) and the United Nations Office on Drugs and Crime (UNODC) and were classified according to their functional orientation. Over 40 interviews were conducted, with organizational leaders, knowledge managers, IT managers and human resources managers. The project also reviewed the current literature on managing knowledge, identifying aspects relevant to the international organization context. Organizational leaders, knowledge managers, IT managers and consultants involved in creating and implementing knowledge management initiatives aimed at process improvements in international organizations context could benefit from the reflections and learning insights from this paper. This paper does not address efficiency matters from the political or governing sphere, nor does it propose specific programmatic changes to work of international organizations; rather it presents a pragmatic “bottom-up” approach, based on case studies and interviews conducted.
An increasing amount of companies are interested in using the innovative potential of Web 2.0 technologies. This paper describes the main results of a comparative analysis of several quantitative empirical studies on the use of Web 2.0 in enterprises. This includes findings about diffusion, possibilities of application, benefits, barriers, and factors of success for the use of Web 2.0 in enterprises. The findings of this comparative study show effective and reasonable ways of using Web 2.0 in enterprises.
Nowadays Personal Learning Environments (PLEs) are described as the use of different social software tools for learning and teaching. The use of common web browsers often is a precondition to fulfil the requirements of social software tools. In this publication a new perspective as well as a couple of prototypes is presented to allow a more independent solution in this context. Using the new JavaFX technology so called widgets are implemented which can be used on different devices as well as different operating systems. Furthermore also the web browser can be replaced by a browser instance. It can be summarized that through the use of widgets the learning environment of the future can be more individualized and personalized.
Small-world networks represent a decentralised network topology in which several actors are strongly connected with each other. A high clustering coefficient and a high number of short paths within a social network characterise such a network. Particularly in the context of inter-organisational knowledge transfer among R&D organisations, the structure of small-world networks appears significant for effective knowledge transfer. This paper reports on an investigation into the nature of inter-organisational knowledge transfer among R&D organisations. The topology of a social network is explored using UCINET social network analysis software. From these findings, implications are drawn for ICT support at an interorganisational level.
There are plenty of projects aimed at incorporating semantic information into present day document processing. The main problem is their real-world usability. E-learning is one of the areas which can take advantage of the semantically described documents. In this paper we would like to introduce a framework of cooperating tools which can help extract, store, visualize semantics in this area.
Semantic Desktops hold provide intelligent information-management environments that respond to users’ needs. An important requirement for developing such environments is that the underlying ontology reflects the users’ work context. For specialized work domains, where people deal with rich information sources in a context-specific manner, there may be a significant amount of domain-specific information available in text documents, emails and other domain-dependent data sources. Our goal is to support knowledge management by to using this information in a Semantic Desktop. We have extended an existing semantic desktop by introducing contentand structure-based information extraction, domain-specific ontological extensions as well as visualization of semantic entities. These extensions address needs in strategic decision making, where domain-specific, well-structured knowledge is available but scattered in documents and communications. The goal for this type of domain-aware semantic desktop is to assist decision makers, such as military commanders, in sense making.
With the emerging trend ofWeb 3.0 and the resulting huge amount of usergenerated semantically-enriched data, improved ways of knowledge visualization and human computer interaction are needed. We present several techniques of visualizing particularly spatial knowledge in largely scalable, clear structured ontology trees on the web. In addition, we describe the representation of search results with a combined approach consisting of Ajax-based grids and Google Maps.