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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Maki, T., Wakahara, T. (2013). Adaptive Keyword Extraction System for the Hierarchical Category Search. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_28
Download citation
DOI: https://doi.org/10.1007/978-94-007-6996-0_28
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-6995-3
Online ISBN: 978-94-007-6996-0
eBook Packages: EngineeringEngineering (R0)