Book Chapter10.1007/978-3-540-24612-1_15
Discovering, visualizing, and sharing knowledge through personalized learning knowledge maps
TL;DR: An unobtrusive model for profiling personalised user agents based on two dimensional semantic maps that provide a medium of implicit communication between human users and the agents, and form of visual representation of resulting knowledge structures is presented.
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Abstract: This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implicit knowledge structures of a group of users. The focus is on the developed conceptual model and system for creation and collaborative use of personalized learning knowledge maps. We use the paradigm of agents on the one hand as model for our approach, on the other hand it serves as a basis for an efficient implementation of the system. We present an unobtrusive model for profiling personalised user agents based on two dimensional semantic maps that provide 1) a medium of implicit communication between human users and the agents, 2) form of visual representation of resulting knowledge structures. Concerning the issues of implementation we present an agent architecture, consisting of two sets of asynchronously operating agents, which enables both sophisticated processing, as well as short respond times necessary for enabling interactive use in real-time.
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Citations
Digital concept maps for managing knowledge and information
TL;DR: This paper analysis of the potential of digital concept maps for supporting processes of individual knowledge management finds that they have the potential to represent and make accessible the conceptual and content knowledge of a domain, as well as information associated to it.
109
Short communication: Knowledge management perspective on e-learning effectiveness
Adela S. M. Lau,Eric Tsui +1 more
TL;DR: How knowledge management can be used effectively in e-learning, and how it can provide a learning grid to enable the learner to identify the right learning objects in an environment which is based on the learNER's context and personal preferences is discussed.
Collaborative knowledge visualization for cross-community learning
Jasminko Novak,Michael Wurst +1 more
TL;DR: A model for collaborative elicitation and visualization of community knowledge perspectives based on the construction of personalised learning knowledge maps and shared concept networks that incorporate implicit knowledge and personal views of individual users is proposed.
Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy
TL;DR: There is evidence of a growing interdisciplinarity in the scientific publications on Mobile Information Literacy, which interrelates the studies of information and digital literacy with e-learning and mobile technologies.
Helping Knowledge Cross Boundaries: Using Knowledge Visualization to Support Cross-Community Sensemaking
J. Novak
- 03 Jan 2007
TL;DR: The main challenges of supporting cross-community knowledge exchange are discussed and an approach to addressing them based on collaborative knowledge visualization is presented based on implicit structures of personal and community knowledge and their use for multi-perspective access to community information spaces.
References
•Book
The Knowledge Creating Company
Ikujiro Nonaka
- 01 Jan 2008
TL;DR: The Japanese companies, masters of manufacturing, have also been leaders in the creation, management, and use of knowledge-especially the tacit and often subjective insights, intuitions, and ideas of employees as discussed by the authors.
Mining association rules between sets of items in large databases
Rakesh Agrawal,Tomasz Imielinski,Arun N. Swami +2 more
- 01 Jun 1993
TL;DR: An efficient algorithm is presented that generates all significant association rules between items in the database of customer transactions and incorporates buffer management and novel estimation and pruning techniques.
The Knowledge-Creating Company
Ikujiro Nonaka,Hirotaka Takeuchi +1 more
- 18 May 1995
Abstract: Abstract How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.
14K
•Proceedings Article
Fast algorithms for mining association rules
Rakesh Agrawal,Ramakrishnan Srikant +1 more
- 01 Jul 1998
TL;DR: Two new algorithms for solving thii problem that are fundamentally different from the known algorithms are presented and empirical evaluation shows that these algorithms outperform theknown algorithms by factors ranging from three for small problems to more than an order of magnitude for large problems.
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
Thorsten Joachims
- 21 Apr 1998
TL;DR: This paper explores the use of Support Vector Machines for learning text classifiers from examples and analyzes the particular properties of learning with text data and identifies why SVMs are appropriate for this task.
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