Abstract
As the Big Data is handled in the modern Internet, it needs various efficient search methods to retrieve the required information in the flood of information. In this paper, we propose a new Hierarchical Search Interface by Self-Organizing search method with a smartphone. The users can search the objective terms by pushing buttons for each adaptive hierarchical categories without any input of keyword. We describe the experimental results and the effectiveness of the proposed system is confirmed by the prototype simulation.
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Maki T, et al (2013) performance evaluation of a search interface by self-organizing hierarchical category. EIC 112,(379), LOIS2012-52, 29–34
Den Y (2009) A multi-purpose electric dictionary for morphological analyzers. JSAI 24(5)
Kenji K, Kunihiko K (2012) Keyword extraction rules to generate a keyword dictionary for japanese fishing web site ATISR
Kudo T, et al Applying conditional random fields to japanese morphological analysis
Osawa EI, Chinda K (2009) Extraction of structural information from complex network ICS-155, 23–29
Maki T, Wakahara T (2013) High accuracy of keyword extraction technique in hierarchical category search. EIC 112(466), LOIS2012-91, 125–130
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© 2013 Springer Science+Business Media Dordrecht
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Maki, T., Wakahara, T. (2013). Adaptive Keyword Extraction System for the Hierarchical Category Search. In: Park, J.J., Barolli, L., Xhafa, F., Jeong, H.Y. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_28
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DOI: https://doi.org/10.1007/978-94-007-6996-0_28
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-6995-3
Online ISBN: 978-94-007-6996-0
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