Paper Info
Title
Keyword-based mobile semantic search using mobile ontology
Abstract
large volume of mobile data is being generated and shared among mobile devices such as smartphones. Most of the mobile platforms provide a user with a keyword-based full text search FTS in order to search for mobile data. However, FTS only returns the data corresponding to the keywords given by users as results without considering a user's query intention. To overcome this limitation, we propose a semantically enhanced keyword-based search method. Although there are various semantic search techniques, it is hard to apply existing methods to mobile devices just as they are. This is caused by the characteristics of mobile devices such as isolated database structures and limited computing resources. To enable semantic search on mobile devices, we also propose a lightweight mobile ontology. Experimental results from the prototype implementation of the proposed method show that the proposed method provides a better user experience than the conventional FTS and returns accurate search results in an acceptable response time.
Year
DOI
Venue
2015
10.1177/0165551514560669
Journal of Information Science
Keywords
DocType
Volume
Keyword-based search,mobile ontology,mobile semantic search,smartphone
Journal
41
Issue
ISSN
Citations 
2
0165-5515
1
PageRank 
References 
Authors
0.39
17
6
Name
Order
Citations
PageRank
Sangjin Shin1216.02
Jihoon Ko2101.71
Sungkwang Eom3145.11
Minjae Song472.90
DongHoon Shin530730.45
Kyong-Ho Lee643947.52