The interaction between humans and knowledge management systems : rethinking the future

In this workshop position paper, we propose a study to understand the importance of knowledge management systems among academics in Saudi higher education institutions, admitting that knowledge workers and Knowledge Management Systems are valuable organizational assets whose interaction should be improved. We intend to understand Saudi academics’ perception toward using the knowledge management system to share their teaching experiences. Based on the findings, we investigate the major research trends in knowledge management systems and give some recommendations for future research

From knowledge presentation to knowledge representation to knowledge construction: Future directions for hypermedia

Relationships between human memory systems and hypermedia systems are discussed with particular emphasis on the underlying importance of associational memory. The distinctions between knowledge presentation, knowledge representation, and knowledge constructions are addressed. Issues involved in actually developing individualizable hypermedia based knowledge construction tools are presented

Multilingual manager: a new strategic role in organizations

Today?s knowledge management (KM) systems seldom account for language management and, especially, multilingual information processing. Document management is one of the strongest components of KM systems. If these systems do not include a multilingual knowledge management policy, intranet searches, excessive document space occupancy and redundant information slow down what are the most effective processes in a single language environment. In this paper, we model information flow from the sources of knowledge to the persons/systems searching for specific information. Within this framework, we focus on the importance of multilingual information processing, which is a hugely complex component of modern organizations

Work, education and scientific and technological development knowledge and training

A new facet of the productive structures is the accrued importance of the component "knowledge and training". Indeed, knowledge and training become parts of the productive process from the beginning to its marketing, the traditional vocational training being a limited part of the activities regarding knowledge and transfer inside the working place. At the same time, educational systems come more and more to resemble productive systems; first of all, because their employees are, in many countries, the most relevant part of the working force, secondly, because their "products" are quite often evaluated by the market; thirdly, because part of these educational systems are integrated in the productive system itself. As productive systems, educational systems are facing the same problems as any other productive system: skilling and deskilling, introduction of technologies, explosions hierarchization, etc.peer-reviewe

Is a Semantic Web Agent a Knowledge-Savvy Agent?

The issue of knowledge sharing has permeated the field of distributed AI and in particular, its successor, multiagent systems. Through the years, many research and engineering efforts have tackled the problem of encoding and sharing knowledge without the need for a single, centralized knowledge base. However, the emergence of modern computing paradigms such as distributed, open systems have highlighted the importance of sharing distributed and heterogeneous knowledge at a larger scale—possibly at the scale of the Internet. The very characteristics that define the Semantic Web—that is, dynamic, distributed, incomplete, and uncertain knowledge—suggest the need for autonomy in distributed software systems. Semantic Web research promises more than mere management of ontologies and data through the definition of machine-understandable languages. The openness and decentralization introduced by multiagent systems and service-oriented architectures give rise to new knowledge management models, for which we can’t make a priori assumptions about the type of interaction an agent or a service may be engaged in, and likewise about the message protocols and vocabulary used. We therefore discuss the problem of knowledge management for open multi-agent systems, and highlight a number of challenges relating to the exchange and evolution of knowledge in open environments, which pertinent to both the Semantic Web and Multi Agent System communities alike

New knowledge and the university

What forms of knowledge have legitimacy in the contemporary university? By using Actor-Network Theory to unravel the strands in a recent dispute about access to skeletons from a burial ground in Cape Town. This paper shows how circulating systems of references connect institutions, historical trajectories and differing sets of interests to form competing knowledge systems. Rather than falling back on a defence of established disciplines and academic authority, it is argued that there are considerable benefits in recognising the importance and validity of knowledge generated 'in community', and in the course of political discourse. Rather than undermining truth, such an approach will result in both better science and more in formed community action

Proximity and the Use of Public Science by Innovate European Firms

We use the results of a 1993 survey of EuropeÕs largest firms to explore the effect of proximity on knowledge flows from suppliers, customers, joint ventures, competitors and public research organisations to innovative firms. The focus is on the latter, since they are an essential component of National Innovation Systems. The importance of proximity for sourcing knowledge from public research increases with the quality and output of domestic public research organisations and declines with activity in the North American market, an increase in the firmÕs R&D expenditures, and the importance of codified knowledge to the firm.public research, knowledge flows, tacit knowledge, innovation

TEXT MINING – PREREQUISITE FOR KNOWLEDGE MANAGEMENT SYSTEMS

Text mining is an interdisciplinary field with the main purpose of retrieving new knowledge from large collections of text documents. This paper presents the main techniques used for knowledge extraction through text mining and their main areas of applicability and emphasizes the importance of text mining in knowledge management systems.text mining, knowledge systems, information retrieval

The Fundamentals of Radar with Applications to Autonomous Vehicles

Radar systems can be extremely useful for applications in autonomous vehicles. This paper seeks to show how radar systems function and how they can apply to improve autonomous vehicles. First, the basics of radar systems are presented to introduce the basic terminology involved with radar. Then, the topic of phased arrays is presented because of their application to autonomous vehicles. The topic of digital signal processing is also discussed because of its importance for all modern radar systems. Finally, examples of radar systems based on the presented knowledge are discussed to illustrate the effectiveness of radar systems in autonomous vehicles

The predictability problem in systems with an uncertainty in the evolution law

The problem of error growth due to the incomplete knowledge of the evolution law which rules the dynamics of a given physical system is addressed. Major interest is devoted to the analysis of error amplification in systems with many characteristic times and scales. The importance of a proper parameterization of fast scales in systems with many strongly interacting degrees of freedom is highlighted and its consequences for the modelization of geophysical systems are discussed.Comment: 20 pages RevTeX, 6 eps figures (included