A safety food consumption mobile system through semantic web technology

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dc.authoridErtugrul, Duygu Celik -- 0000-0003-1380-705X
dc.contributor.authorÇelik, Duygu
dc.contributor.authorElçi, Atilla
dc.contributor.authorAkçiçek, Rıdvan
dc.contributor.authorGökçe, Bora
dc.contributor.authorHürcan, Pelin
dc.contributor.editorChang, CK
dc.contributor.editorGao, Y
dc.contributor.editorHurson, A
dc.contributor.editorMatskin, M
dc.contributor.editorMcMillin, B
dc.contributor.editorOkabe, Y
dc.contributor.editorSeceleanu, C
dc.contributor.editorYoshida, K
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:15:00Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:15:00Z
dc.date.issued2014
dc.departmentMühendislik Fakültesi
dc.description38th Annual IEEE International Computer Software and Applications Conference (COMPSAC) -- JUL 21-25, 2014 -- Vasteras, SWEDEN
dc.descriptionWOS:000352787700059
dc.description.abstractOver 3,000 compounds are being added to processed food. These compounds have numerous effects on food: add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emulsify, and so on. According to a recent report by the World Health Organization, governments have lately focused on legislation to reduce such ingredients or compounds in manufactured foods for they might have side effects causing health risks such as the heart disease, cancer, diabetes, allergens, obesity, etc. Safety in food consumption especially by patients of risk groups have become crucial for such health problems are in the top ten ranked health risks around the world. By supervising what and how much to eat as well as what not to eat, we can maximize a patient's life quality by avoiding unhealthy ingredients or compounds. In helping patients take control of their safe food consumption, we need smart personal e-health systems. Smart personal e-health systems with advanced knowledge management technology can provide suggestions of food appropriate for consumption by individuals. Accessing annotations in the ontology knowledgebase of food appropriate to their personal health condition can be provided. This article discusses one such software application, namely the Safety Food Consumption Mobile System, employing Semantic Web Technology.
dc.description.sponsorshipIEEE, IEEE Cloud Comp, Korean Inst Informat Scientists & Engineers, Iowa State Univ Sci & Technol, IEEE Comp Soc, IPS, CCF, Malardalen Univ Sweden, ABB, Missouri S & T
dc.identifier.doi10.1109/COMPSACW.2014.126
dc.identifier.endpage353en_US
dc.identifier.isbn978-1-4799-3578-9
dc.identifier.scopusqualityN/A
dc.identifier.startpage348en_US
dc.identifier.urihttps://doi.org/10.1109/COMPSACW.2014.126
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4249
dc.identifier.wosWOS:000352787700059
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2014 38TH ANNUAL IEEE INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSACW 2014)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectFood Ontology
dc.subjectSemantic Web
dc.subjectSemantic Search Systems
dc.subjectE-health Systems
dc.subjectSemantic Matching
dc.titleA safety food consumption mobile system through semantic web technology
dc.typeConference Object

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