Authors: Changyong Lee; Changho Son; Byungun Yoon; Yongtae Park
Addresses: School of Technology Management, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan 689-798, Republic of Korea ' Department of Weapon System Engineering, Korea Army Academy, 135-1 Changhari, Kokyungmeon, Young-Cheon, Gyeongbuk 770-849, Republic of Korea ' Department of Industrial Systems Engineering, School of Engineering, Dongguk University, 26, Pil-dong 3-ga, Jung-gu, Seoul 100-715, Republic of Korea ' Department of Industrial Engineering, School of Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, Republic of Korea
Abstract: This study proposes a systematic approach to discovering new mobile service opportunities from related documents to overcome the weaknesses of previous methods based on the judgements of experts. At the heart of the suggested approach is text mining to explicitly specify the meanings of documents and information visualisation to effectively explore critical implications. Specifically, we integrate the strengths of principal component analysis (PCA) for mapping multi-dimensional data on a two-dimensional display and the merits of formal concept analysis (FCA) for grouping objects with shared properties based on the lattice theory. A case study of navigation services is presented to show the feasibility of our approach. We believe that the systematic processes and visualised outcomes offered by the proposed approach can enhance the efficiency of mobile service creation and serve as a starting point for developing more general models.
Keywords: service engineering; new service opportunities; mobile application services; text mining; information visualisation; PCA; principal component analysis; FCA; formal concept analysis; mobile communications; service discovery; mobile services; m-services; navigation services.
International Journal of Mobile Communications, 2013 Vol.11 No.4, pp.374 - 392
Available online: 05 Aug 2013Full-text access for editors Access for subscribers Purchase this article Comment on this article