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

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dc.authoridErtugrul, Duygu Celik -- 0000-0003-1380-705X; CIFCI, Mehmet Akif -- 0000-0002-6439-8826;
dc.contributor.authorÇifçi, Mehmet Akif
dc.contributor.authorErtu?rul, Duygu Çelik
dc.contributor.authorElçi, Atilla
dc.contributor.editorReisman, S
dc.contributor.editorAhamed, SI
dc.contributor.editorLiu, L
dc.contributor.editorMilojicic, D
dc.contributor.editorClaycomb, W
dc.contributor.editorMatskin, M
dc.contributor.editorSato, H
dc.contributor.editorNakamura, M
dc.contributor.editorCimato, S
dc.contributor.editorLung, CH
dc.contributor.editorZhang, Z
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:18:39Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:18:39Z
dc.date.issued2016
dc.departmentMühendislik Fakültesi
dc.description40th Annual IEEE Computer Software and Applications Conference Symposium (COMPSAC) / Symposium on Software Engineering Technology and Applications (SETA) -- JUN 10-14, 2016 -- Atlanta, GA
dc.descriptionWOS:000389532200013
dc.description.abstractMany 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.
dc.description.sponsorshipIEEE, IEEE Comp Soc, IEEE BigData, IEEE Future Direct, IPS, Korean Inst Informat Scientists & Engineers, CCF, Hewlett Packard Enterprise
dc.identifier.doi10.1109/COMPSAC.2016.35
dc.identifier.endpage82en_US
dc.identifier.isbn978-1-4673-8845-0
dc.identifier.issn0730-3157
dc.identifier.scopusqualityQ4
dc.identifier.startpage77en_US
dc.identifier.urihttps://doi.org/10.1109/COMPSAC.2016.35
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4903
dc.identifier.wosWOS:000389532200013
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartofPROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC), VOL 2
dc.relation.ispartofseriesProceedings International Computer Software and Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjecte-health Mobile System
dc.subjectMapReduce
dc.subjectSafe Food Consumption
dc.subjectHadoop Environment
dc.titleA search service for food consumption mobile applications via Hadoop and MapReduce technology
dc.typeConference Object

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