A search service for food consumption mobile applications via Hadoop and MapReduce technology

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Tarih

2016

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Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/embargoedAccess

Özet

Many mobile applications on safe food consumption and e-health have been developed recently. Health conscious users highly regard such applications for safe food consumption, especially for avoiding offending foods and additives. However, there is the lack of a comprehensive database containing structured or unstructured data to support such applications. In this paper we propose the MSS, a healthy food consumption search service for mobile applications utilizing Hadoop(1) and MapReduce(2) (MR). The MSS may work as a process behind a mobile application to provide a search service for information on food and food additives. MSS works by the same logic as a search engine (SE); it crawls over Web sources cataloguing relevant information for eventual use in responding to queries from mobile applications. MSS design and development are highlighted in this paper through its system architecture, query understanding, its use of the Hadoop/MapReduce Environment, and action scripts. A case study helps displaying the virtues of MSS.

Açıklama

40th Annual IEEE Computer Software and Applications Conference Symposium (COMPSAC) / Symposium on Software Engineering Technology and Applications (SETA) -- JUN 10-14, 2016 -- Atlanta, GA
WOS:000389532200013

Anahtar Kelimeler

e-health Mobile System, MapReduce, Safe Food Consumption, Hadoop Environment

Kaynak

PROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC), VOL 2

WoS Q Değeri

N/A

Scopus Q Değeri

Q4

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