KNOWLEDGE REPOSITORIES AND KNOWLEDGEABLE ACTION

In spite of the importance of knowledge reuse much is still unknown about how knowledge management artifacts influence reuse in practice. In this paper we use the concept of scaffolding to explore how knowledge repositories influence knowledgeable action. We conceptualize anchoring and adjustment as the processes involved in the use of scaffolding such as knowledge repositories. By viewing reuse in terms of these mechanisms, we can begin to consider the reuse processes individually as involving (1) choice of document for reuse and (2) adaptation of the document’s suggested solution applied to a current problem. We suggest the document acts as an anchor to frame the current problem consistent with the problem solved in the document, and that the suggested solution is then adapted through the adjustment process to meet the needs of the current problem. We subsequently explore the factors that influence both anchor choice and adjustment

Integrating large knowledge repositories in multiagent ontologies

Knowledge is people’s personal map of the world. According to the knowledge differences, it is possible different groups of people have different perceptions about the same reality. Each perception can be represented by using ontologies. In the research underlying this paper we are dealing with a multiple ontologies. In that context, each agent explores its own ontology. The goal of this research is to generate a common ontology including a common set of terms, based on the several ontologies available, in order to make possible to share the common terminology (set of terms) that it implements, between dif-ferent communities. In this paper we are presenting a real implementation of a system using those concepts. The paper provides a case study involving groups of people in different communities, managing data using different perceptions (terminologies), and different semantics to represent the same reality. Each user – belonging to a different community - uses different terminologies in collect-ing data and as a consequence they also get different results of that exercise. It is not a problem if the different results are used inside each community. The problem occurs if people need to take data from other communities, sharing, collaborating and using it to get a more global solution

Building knowledge repositories with enterprise modelling and patterns – from theory to practice

An approach to building knowledge repositories, Enterprise Knowledge Patterns (EKP), has been developed and applied throughout a number of research projects, most recently in the ELEKTRA, HyperKnowledge1 and EKLär projects. The EKP approach combines Enterprise Modelling with organisational patterns. Systematic evaluations of applying the approach have been carried out in two of the projects, while the third project is currently running. The aim of this paper is to provide an overview of the evaluation results and to share practical experiences from building knowledge repositories with Enterprise Modelling and organisational patterns. We discuss issues concerning the knowledge content of pattern based knowledge repositories, the language used to express knowledge in organisational patterns and technology support for storing and retrieving knowledge components.

The Dynamics of Sustainability of Electronic Knowledge Repositories

ICIS 2007 Proceedings - Twenty Eighth International Conference on Information System

Seeking Knowledge in Electronic Knowledge Repositories: An Exploratory Study

Knowledge is a critical resource that sustains strategic advantage in highly competitive organizational environments. Many organizations are turning to knowledge management (KM) initiatives and technologies to leverage their knowledge resources. A common form of such technologies is the electronic knowledge repository (EKR). Although EKRs have been in use for some time, there has been little empirical evidence about factors that affect usage of EKRs. This exploratory study formulates and tests a theoretical model that explains seeking behavior in an EKR. The data was collected through a survey of 128 knowledge workers. Results show that technology-related factors and organization-related factors directly impact seeking behavior, while task factors play a moderating role. Implications for research and practice are discussed

Knowledge Propagation in Contextualized Knowledge Repositories: an Experimental Evaluation

As the interest in the representation of context dependent knowledge in the Semantic Web has been recognized, a number of logic based solutions have been proposed in this regard. In our recent works, in response to this need, we presented the description logic-based Contextualized Knowledge Repository (CKR) framework. CKR is not only a theoretical framework, but it has been effectively implemented over state-of-the-art tools for the management of Semantic Web data: inference inside and across contexts has been realized in the form of forward SPARQL-based rules over different RDF named graphs. In this paper we present the first evaluation results for such CKR implementation. In particular, in first experiment we study its scalability with respect to different reasoning regimes. In a second experiment we analyze the effects of knowledge propagation on the computation of inferences.Comment: ARCOE-Logic 2014 Workshop Notes, pp. 13-2