scholarly journals FlavorGraph: a large-scale food-chemical graph for generating food representations and recommending food pairings

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Donghyeon Park ◽  
Keonwoo Kim ◽  
Seoyoon Kim ◽  
Michael Spranger ◽  
Jaewoo Kang

AbstractFood pairing has not yet been fully pioneered, despite our everyday experience with food and the large amount of food data available on the web. The complementary food pairings discovered thus far created by the intuition of talented chefs, not by scientific knowledge or statistical learning. We introduce FlavorGraph which is a large-scale food graph by relations extracted from million food recipes and information of 1,561 flavor molecules from food databases. We analyze the chemical and statistical relations of FlavorGraph and apply our graph embedding method to better represent foods in dense vectors. Our graph embedding method is a modification of metapath2vec with an additional chemical property learning layer and quantitatively outperforms other baseline methods in food clustering. Food pairing suggestions made based on the food representations of FlavorGraph help achieve better results than previous works, and the suggestions can also be used to predict relations between compounds and foods. Our research offers a new perspective on not only food pairing techniques but also food science in general.

Author(s):  
Shihui Yang ◽  
Jidong Tian ◽  
Honglun Zhang ◽  
Junchi Yan ◽  
Hao He ◽  
...  

Knowledge graph embedding, which projects the symbolic relations and entities onto low-dimension continuous spaces, is essential to knowledge graph completion. Recently, translation-based embedding models (e.g. TransE) have aroused increasing attention for their simplicity and effectiveness. These models attempt to translate semantics from head entities to tail entities with the relations and infer richer facts outside the knowledge graph. In this paper, we propose a novel knowledge graph embedding method named TransMS, which translates and transmits multidirectional semantics: i) the semantics of head/tail entities and relations to tail/head entities with nonlinear functions and ii) the semantics from entities to relations with linear bias vectors. Our model has merely one additional parameter α than TransE for each triplet, which results in its better scalability in large-scale knowledge graph. Experiments show that TransMS achieves substantial improvements against state-of-the-art baselines, especially the Hit@10s of head entity prediction for N-1 relations and tail entity prediction for 1-N relations improved by about 27.1% and 24.8% on FB15K database respectively.


2009 ◽  
Vol 14 (5) ◽  
pp. 206-212 ◽  
Author(s):  
Anna Borisenkova

There has been a tendency in social science to apply narrative inquiry ways of thinking and working to sociological research. Narratives are present either in theoretical schemes or in methodology. The purpose of this paper is to demonstrate the contribution made by narrative to social epistemology. Firstly, this is done through the explication of an explanatory potential of the concept of narrative and its ability to transform the analysis of fundamental sociological objects, such as human experience, actions, and communication. Secondly, the paper highlights three points involved in a narrative basis to scientific knowledge: discipline's biography as a narrative; narrative as a representation of social phenomena; and narrative as a kind of logic, embedded in the process of sociological explanation. Through a consideration of Charles Tilly's, Paul Ricoeur's, and Max Weber's arguments the problem of applying narrative inquiry to the investigation of large-scale phenomena is set. Apart from some insights, interpretative explanations, and illustrations, the paper provides critical arguments concerning the limitations of the narrative inquiry with respect to social epistemology.


Water Policy ◽  
2003 ◽  
Vol 5 (3) ◽  
pp. 203-212
Author(s):  
J. Lisa Jorgensona

This paper discusses a series of discusses how web sites now report international water project information, and maps the combined donor investment in more than 6000 water projects, active since 1995. The maps show donor investment:  • has addressed water scarcity,  • has improved access to improvised water resources,  • correlates with growth in GDP,  • appears to show a correlation with growth in net private capital flow,  • does NOT appear to correlate with growth in GNI. Evaluation indicates problems in the combined water project portfolios for major donor organizations: •difficulties in grouping projects over differing Sector classifications, food security, or agriculture/irrigation is the most difficult.  • inability to map donor projects at the country or river basin level because 60% of the donor projects include no location data (town, province, watershed) in the title or abstracts available on the web sites.  • no means to identify donor projects with utilization of water resources from training or technical assistance.  • no information of the source of water (river, aquifer, rainwater catchment).  • an identifiable quantity of water (withdrawal amounts, or increased water efficiency) is not provided.  • differentiation between large scale verses small scale projects. Recommendation: Major donors need to look at how the web harvests and combines their information, and look at ways to agree on a standard template for project titles to include more essential information. The Japanese (JICA) and the Asian Development Bank provide good models.


2017 ◽  
Vol 6 ◽  
Author(s):  
Saskia Meijboom ◽  
Martinette T. van Houts-Streppel ◽  
Corine Perenboom ◽  
Els Siebelink ◽  
Anne M. van de Wiel ◽  
...  

AbstractSelf-administered web-based 24-h dietary recalls (24 hR) may save a lot of time and money as compared with interviewer-administered telephone-based 24 hR interviews and may therefore be useful in large-scale studies. Within the Nutrition Questionnaires plus (NQplus) study, the web-based 24 hR tool Compl-eat™ was developed to assess Dutch participants’ dietary intake. The aim of the present study was to evaluate the performance of this tool against the interviewer-administered telephone-based 24 hR method. A subgroup of participants of the NQplus study (20–70 years, n 514) completed three self-administered web-based 24 hR and three telephone 24 hR interviews administered by a dietitian over a 1-year period. Compl-eat™ as well as the dietitians guided the participants to report all foods consumed the previous day. Compl-eat™ on average underestimated the intake of energy by 8 %, of macronutrients by 10 % and of micronutrients by 13 % as compared with telephone recalls. The agreement between both methods, estimated using Lin's concordance coefficients (LCC), ranged from 0·15 for vitamin B1 to 0·70 for alcohol intake (mean LCC 0·38). The lower estimations by Compl-eat™ can be explained by a lower number of total reported foods and lower estimated intakes of the food groups, fats, oils and savoury sauces, sugar and confectionery, dairy and cheese. The performance of the tool may be improved by, for example, adding an option to automatically select frequently used foods and including more recall cues. We conclude that Compl-eat™ may be a useful tool in large-scale Dutch studies after suggested improvements have been implemented and evaluated.


2021 ◽  
Vol 76 (2) ◽  
pp. 118-128
Author(s):  
Sh. Kuttybaev ◽  
◽  
Е. Abdimomynov ◽  

The article analyzes views on innovation in the literary science of the early twentieth century and the work of Alash representatives in an era that is a period filled with profound changes and large-scale innovations in Kazakh society. In addition, works related to freedom, enlightenment, politics, spiritual values, the position of the people as a whole and social changes are considered the idea of independence and continuity. On the way of evolutionary development of the Kazakh literature, artistic power, thematic and ideological character, substantial and stylistic features of poetry of poets in the beginning of the XX century and during the Great Patriotic War, in subsequent years and years of independence are discussed in detail. In addition, on the basis of literary traditions and novelty, the works of prominent poets of Kazakh poetry of the 20th century and Independence are considered and comprehensively characterized, i.e. internal motives, the content of life phenomena in national poetry are analyzed in close connection with the works of poets. The original vision of the traditional and differentiated in the literature of the Soviet period in the works of poets from a new perspective, from the point of view of today. In addition, the works of outstanding poets of Kazakh poetry in the period of the 20th century and independence are considered on the basis of classical tradition and novelty in literature.


2019 ◽  
pp. 129-139
Author(s):  
Tamara Mykolayivna Kurach ◽  
Iryna Aleksandrovna Pidlisetskaya

The goal is to develop a tourist interactive map "Landmarks of Bohuslav". The methodology. The methodological and theoretical basis of the study is modern geographical and cartographic science in the field of thematic mapping with the involvement of web-mapping technologies. Results. A large-scale tourist web map of the cultural heritage of the Boguslavsky region - “Sights of Boguslavshchina” was created. Scientific novelty. Approbation of the methodology and technology for the development of interactive large-scale web maps of tourism topics involving the Leaflet JavaScript library. Practical value. An interactive tourist web map of the historical and cultural heritage sites “Sights of Bohuslavshchina” will be published on the website of the health-improving institution of sanatorium-type “Chaika”. Convenient using, visualization, prompt receipt of information will help to increase the attractiveness of tourist Boguslavschina routes.


2021 ◽  
Vol 15 (1) ◽  
pp. 160-169
Author(s):  
Sarvar Khalikov ◽  
Wei Liu ◽  
Madina Turaeva ◽  
Liliya Achilova

The First President of Uzbekistan, Islam Karimov, continued to isolate the country for many years even after the collapse of the Soviet Union in 1991, which in turn worsened all the strategic sectors in the country, especially the aviation market and tourism industries. However, in the period 2017-2018, the skyrocket in the number of tourists, from 2.69 million to 5.34 million, became possible due to the coming of Shavkat Mirziyoyev to power as the new President. But the lack of air connectivity kept reducing aspiration of traveling from non-CIS countries. To solve the issue, the new President Mirziyoyev’s large-scale policy reforms concerned the air transport sector, too. The main objective of the study is to compare the development of the country under the leadership of various political reforms using the aviation industry of Uzbekistan as an example. To achieve the purposes, the authors examine reciprocal action/influence between airlines, airports and government. In addition, a significant amount of data was collected from Russian-language sources to enrich the content. Even though the paper was written before the COVID-19 pandemic, the authors' research is still important to nudge readers into a new perspective.


2009 ◽  
Vol 54 (1) ◽  
pp. 181-188 ◽  
Author(s):  
Tayebeh Mosavi Miangah

Abstract In recent years the exploitation of large text corpora in solving various kinds of linguistic problems, including those of translation, is commonplace. Yet a large-scale English-Persian corpus is still unavailable, because of certain difficulties and the amount of work required to overcome them. The project reported here is an attempt to constitute an English-Persian parallel corpus composed of digital texts and Web documents containing little or no noise. The Internet is useful because translations of existing texts are often published on the Web. The task is to find parallel pages in English and Persian, to judge their translation quality, and to download and align them. The corpus so created is of course open; that is, more material can be added as the need arises. One of the main activities associated with building such a corpus is to develop software for parallel concordancing, in which a user can enter a search string in one language and see all the citations for that string in it and corresponding sentences in the target language. Our intention is to construct general translation memory software using the present English-Persian parallel corpus.


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