A 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.
|Number of pages||19|
|Journal||Journal of Information Science|
|Publication status||Published - 2015 Apr 16|
Bibliographical noteFunding Information:
This work was partly supported by the ICT R&D program of MSIP/IITP, Republic of Korea (13-911-05-002, Access Network Control Techniques for Various IoT Services) and a National Research Foundation of Korea grant funded by the Korea Government (MSIP) (no. NRF-2013R1A2A2A01016327).
© 2014 The Author(s).
All Science Journal Classification (ASJC) codes
- Information Systems
- Library and Information Sciences