Semantic search for smart mobile devices

Shin, Sangjin; Ko, Jihoon; Shin, Dong-Hoon; Jung, Jason J.; Lee, Kyong-Ho

doi:10.1145/2451176.2451217

Cited by 8 publications

(13 citation statements)

References 6 publications

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“…Early studies on search covered several topics, including load and query, full-text search, and voice input [81,82]. Research direction on search function since 2007 is also influenced by the limited screen size.…”

Section: Information Controlmentioning

confidence: 99%

“…An alternative solution to tackle the challenge is by minimizing a demand for user-supplied text. Shin et al [82] proposed a semantic search prototype, to reduce the amount of full-text search. Semantic approach enables keyword-based search where users can search for intended information without entering exact search terms.…”

Section: Information Controlmentioning

confidence: 99%

“…Semantic approach enables keyword-based search where users can search for intended information without entering exact search terms. A preliminary experiment revealed better user experience results using the proposed prototype compared with full-text search [82]. Church and Smyth [83] suggested that context information, such as time and location, should be integrated to mobile search to help search engine in retrieving more relevant information.…”

Section: Information Controlmentioning

confidence: 99%

See 2 more Smart Citations

Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review

Punchoojit

Hongwarittorrn

2017

Advances in Human-Computer Interaction

144

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Mobile platforms have called for attention from HCI practitioners, and, ever since 2007, touchscreens have completely changed mobile user interface and interaction design. Some notable differences between mobile devices and desktops include the lack of tactile feedback, ubiquity, limited screen size, small virtual keys, and high demand of visual attention. These differences have caused unprecedented challenges to users. Most of the mobile user interface designs are based on desktop paradigm, but the desktop designs do not fully fit the mobile context. Although mobile devices are becoming an indispensable part of daily lives, true standards for mobile UI design patterns do not exist. This article provides a systematic literature review of the existing studies on mobile UI design patterns. The first objective is to give an overview of recent studies on the mobile designs. The second objective is to provide an analysis on what topics or areas have insufficient information and what factors are concentrated upon. This article will benefit the HCI community in seeing an overview of present works, to shape the future research directions.

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Section: Information Controlmentioning

confidence: 99%

Section: Information Controlmentioning

confidence: 99%

Section: Information Controlmentioning

confidence: 99%

See 1 more Smart Citation

Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review

Punchoojit

Hongwarittorrn

2017

Advances in Human-Computer Interaction

144

View full text Add to dashboard Cite

show abstract

“…Nowadays, more than two-thirds of all Internet users surveyed access with mobile phone every day, according to a study of consumers in Europe, Latin America and South Africa [1]. As a result, more and more users use Internet services, such as mobile search [2], social network [3] by mobile devices, as well as other applications [4][5][6], as shown in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

A dynamic assignment scheduling algorithm for big data stream processing in mobile Internet services

Yan

Wang²,

et al. 2016

Pers Ubiquit Comput

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As the huge number of mobile devices (e.g., smart phones, tablets and netbooks) increases, more and more people choose to use the Internet services financed by mobile Internet service providers (MISPs). To provide better services, it is quite necessary for MISPs to analyze the information hidden in the big data stream generated by users. Therefore, processing the real-time big data stream efficiently has become increasingly important. However, traditional static data storage technology fails to meet the demands of real-time data processing. To improve processing capacity, many parallel processing structures are proposed, which brings up the problem about how the parallel devices can be scheduled to maximize their efficiency. Accordingly, a dynamic assignment scheduling algorithm for big data stream processing in mobile Internet services is proposed, and a stream query graph is built to calculate the weight of every edge. The edge with the minimum weight is selected to send tuples. Simulation results show that the proper number of the logic devices can dramatically reduce system response time. Furthermore, system context switching is reduced by increasing the number of tuples sent each time.

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“…The FTS approach is not only user-friendly but also easy to use. However, it shows limited abilities when there are too many search results from given keywords or when a user does not remember the keywords that represent what he/she wants [1,2]. FTS does not consider a user's query intention, since it only returns search results that include given keywords as substrings.…”

Section: Introductionmentioning

confidence: 99%

Keyword Based Semantic Search for Mobile Data

Shin

Eom

et al. 2014

2014 IEEE 15th International Conference on Mobile Data Management

Self Cite

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Most of the mobile platforms provide a keywordbased full text search (FTS) for users to find what they want. However, FTS has difficulties in dealing with the cases where a user cannot remember the exact keywords about target data or the number of search results is too many. To overcome these limitations of FTS, we propose a semantically enhanced method of searching for data on mobile devices along with mobile ontology. Experimental results of the proposed method show that our method provides accurate search results and is suitable for a mobile environment.

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Semantic search for smart mobile devices

Cited by 8 publications

References 6 publications

Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review

Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review

A dynamic assignment scheduling algorithm for big data stream processing in mobile Internet services

Keyword Based Semantic Search for Mobile Data

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