CONCEPT MAPPING AND EXPERT SYSTEMS: EXPLORING SYNERGIES

2014

Major industrial countries gradually developed from industrialised economies to information- and knowledge-based economies, where people became the most valuable asset to companies due to their abilities and valuable tacit knowledge. Unfortunately tacit knowledge is contained in people’s minds, is difficult to access and therefore needs to be captured so it can be shared amongst employees. Concept maps are such a tool that can gather knowledge from individuals and groups, facilitate the knowledge creation process, function as a discussion and communication tool, and assist in the distribution of knowledge and learning processes within an organisation. In order to evaluate the value of concept map technology, to gain detailed information about the company’s current knowledge management system, the technical infrastructure, and to acquire insight about the possibilities and problems of concept maps, a survey was conducted at a banking and insurance company to determine the employees ’...

2015

Abstract. Information visualization has been a research topic for many years, leading to a mature field where guidelines and practices are well established. Knowledge visualization, in contrast, is a relatively new area of research that has received more attention recently due to the interest from the business com-munity in Knowledge Management. In this paper we present the CmapTools software as an example of how concept maps, a knowledge visualization tool, can be combined with recent technology to provide integration between knowl-edge and information visualizations. We show how concept map-based knowl-edge models can be used to organize repositories of information in a way that makes them easily browsable, and how concept maps can improve searching algorithms for the Web. We also report on how information can be used to complement knowledge models and, based on the searching algorithms, im-prove the process of constructing concept maps. 1 Introduction: Information and Knowledge V...

Applied Concept Mapping, 2011

2002

We have developed a JAVA prototype of a templatebased Concept Mapping Tool, the CM-ED tool, that supports the above mentioned applications. In this paper we will show how CM-ED can be used within an Intelligent Tutoring System authoring tool, the IRIS authoring tool, to represent the domain knowledge. In this paper, the authors show the benefits of using a concept mapping tool for gathering the domain knowledge in the computer-aided learning area. Concretely, we show how CM-ED is used integrated in the IRIS Intelligent Tutoring System authoring tool. First, the paper describes the structure of the domain knowledge in IRIS. Then, the main characteristics of CM-ED are listed. Finally, the new concept map based interface for domain acquisition in IRIS is presented.

Proc. of the Sixteenth FLAIRS, 2003

Successful knowledge management may depend not only on knowledge capture, but on knowledge construction-on formulating new and useful knowledge that was not previously available. Electronic concept mapping tools are a promising method for supporting knowledge capture and construction, but users may find it difficult to determine the right knowledge to include. Consequently, knowledge-based methods for suggesting relevant information are desirable for supporting the knowledge modeling process. We are developing methods to aid concept mapping by suggesting relevant information to compare, contrast, and possibly include in knowledge models represented as concept maps. This paper presents two specific methods we are developing for this task, both of which automatically identify topics related to a concept map in order to guide the retrieval of related information. The first, DISCERNER, automatically organizes concept map libraries into a hierarchical structure of topic categories and subcategories that are used as indices for efficient access to relevant stored concept maps. The second, EXTENDER, characterizes the topics of concept maps under construction, applies clustering techniques to the resulting information, and performs incremental web-mining for new but related, topics. It suggests these topics as potential areas for extending the existing concept map or to include in new maps to increase current knowledge coverage.

cmc.ihmc.us

There are different versions of concept mapping. The purpose of this paper is to compare some of them and to explicate the main differences. Proper concept mapping methods include all methods of knowledge graphic presentation that are clearly based on the seminal writings of Novak and his research group from 1981 to 2002. Some writers may use the term concept mapping, although one of the most basic requirements is not fulfilled: No meaningful propositions are produced out of linked concepts. Sometimes no links at all are present, only concepts spread in a conceptual space. In "the Novakian Standard Concept Mapping Format" there are some unnecessarily complex rules. Critical reflection on alternative ideas about concept mapping may suggest alternative and better ideas in the future.

Proceedings of the Fourteenth …, 2001

Knowledge management depends on effective methods for capturing knowledge in useful forms and making it available when needed. Electronic concept maps provide a promising representation for knowledge models that can be developed directly by the experts themselves, but the flexibility of concept mapping raises questions of how to support the knowledge modeling process and to standardize its results, in order to facilitate future examination and reuse. We describe ongoing research on the use of case-based reasoning methods to support the knowledge modeling process through proactive retrieval of relevant prior concept maps, in order to provide suggestions to aid the concept map generation process. The selection of relevant concept maps relies on an algorithm that combines textual and topological analysis. We describe the algorithm and present an example that illustrates concept suggestion procedures in the Mars exploration domain.

2014

This conference reflects the maturity of the concept mapping community from around the world, which for the third time gets together to share research and experiences. We are confident the community will continue to consolidate and work together, and hope that we take advantage of this meeting to get stronger as a group, taking concept mapping to users all around the world and to all domains of knowledge. This year we have a strong program that covers a variety of topics and we welcome participants from countries that had not participated in previous conferences. The Program Committee had a tough time selecting the papers that would be presented orally and as posters from a large number of high quality submissions. We thank the members of the Committee for their effort and hard work. And of course, the conference would not take place if it were not for all the authors that are willing to share their work with the concept mapping community. The high quality of papers is complemented by outstanding invited speakers: Joseph D. Novak, Ian Kinchin and Otto Silesky. Panels that we expect will generate a lot of discussion among the participants complete the Program. Organizing a Conference that moves between two countries and across the Gulf of Finland takes an outstanding Local Organization Committee and we were fortunate to count with such a group. The Universities of Tallinn and Helsinki have also gone out of their way to make sure the Conference is a success. Finally, we thank the sponsors whose support was crucial in making the Conference a reality.

AJ Cañas, JD Novak, …, 2004

This paper describes a community of practice on concept mapping that has been established in Turin, Italy by DSCHOLA. The main purpose of the community is to differentiate the various forms of knowledge representation from each other and to recover the general function of the knowledge representation connected with the learning environment. As a starting point, the community defined and shared a set of founding documents, which includes the Manifesto and the Documentation template. The community aims at structuring and organizing selective criteria in order to produce and make available documentations dealing with good practices on concept mapping.