Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/6026
Title: Mapping the knowledge artifact terrain: a quantitative resource for qualitative research
Authors: Cabitza, Federico
Locoro, Angela
Issue Date: 2015
Publisher: SciTe press, Science and Technology Publications
Bibliographic citation: Cabitza Federico, Locoro Angela (2015), Mapping the knowledge artifact terrain: a quantitative resource for qualitative research. In: Fred Ana, et al., ed., Proceedings of the 7th International joint conference on knowledge discovery, knowledge engineering and knowledge management (IC3K 2015). Volume 3: KMIS. Setúbal: SciTe press, Science and Technology Publications, p. 444-451. ISBN 978-989-758-158-8. DOI 10.5220/0005662704440451.
Abstract: In this paper, we present a method by which to build a metaphorical map of a portion of the scholarly literature along conceptual dimensions that have been previously characterized in terms of positive, negative and neutral terms. The method allows to "locate" scholarly works in this space, according to multiple criteria, like the definitions that they contain; the relevant concepts that can be extracted by means of a content analysis; and relevant passages that researchers can extract in studying their content. The resulting maps are not representational, nor trying to extract any objective essence of a scientific contribution. Rather, they are resources for the qualitative research, review and interpretation of literature sources. As such, these maps are "knowledge artifacts" in themselves, as they visualize, so to say, the interpretation of a set of works by qualitative researchers, and allow to build a visual comprehension of topological and qualitative relationships between the considered literature contributions. We applied the method to the case of the "knowledge artifact" literature and report the main results in this paper.
URI: http://arl.liuc.it/dspace/handle/2468/6026
Journal/Book: Proceedings of the 7th International joint conference on knowledge discovery, knowledge engineering and knowledge management (IC3K 2015). Volume 3: KMIS
ISBN: 978-989-758-158-8
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