As technology grows, live video streaming services become a new form of social media, in which everyone is able to live webcast and interact with audiences. Statistics indicate that Internet audiences are viewing more live content than ever before. It is noteworthy live video streaming viewing may become a new form of addicted behavior of technology but literature on such subject is very limited. The purpose of this research is to explore the factors for addictive use of live video streaming services. A total of 338 participants were recruited via an online survey that was designed with five subscales: demographics, psychological factors (life satisfaction and loneliness), Big Five personality traits, motivations, and problematic use of live video streaming services. Results indicated age was not related to addiction, but gender and average watching time per day were related. The personality of agreeableness was negatively related and neuroticism was positively related with the addiction. Motivations for interaction, escapism, and peeking were found related to the addiction.
{"title":"Problematic Use of Live Video Streaming Services: Impact of Personality Traits, Psychological Factors, and Motivations","authors":"S. Cheng, Shao-Liang Chang, Chi-Ying Chen","doi":"10.1145/3316615.3316620","DOIUrl":"https://doi.org/10.1145/3316615.3316620","url":null,"abstract":"As technology grows, live video streaming services become a new form of social media, in which everyone is able to live webcast and interact with audiences. Statistics indicate that Internet audiences are viewing more live content than ever before. It is noteworthy live video streaming viewing may become a new form of addicted behavior of technology but literature on such subject is very limited. The purpose of this research is to explore the factors for addictive use of live video streaming services. A total of 338 participants were recruited via an online survey that was designed with five subscales: demographics, psychological factors (life satisfaction and loneliness), Big Five personality traits, motivations, and problematic use of live video streaming services. Results indicated age was not related to addiction, but gender and average watching time per day were related. The personality of agreeableness was negatively related and neuroticism was positively related with the addiction. Motivations for interaction, escapism, and peeking were found related to the addiction.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129050194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Universitas Muhammadiyah Yogyakarta is one of the universities in Indonesia. Every college must have graduated or called alumni. Alumni have an essential role in the development of educational institutions. Currently, alumni are used as one of the requirements for the university accreditation process by BAN-PT as evaluation material, therefore the importance of alumni monitoring or information, UMY has a tracer study to monitor alumni information using a questionnaire. However, to obtain data from the survey, it is still having trouble because the data is not yet integrated. Integrated data is collected by building a data warehouse. This research develops a data warehouse using NDS architecture, and There is some noise was found that need to be cleaned, such as null data and duplication of data. data warehouse alumni have been built, and it can meet the requirements of the institution that are displayed in a report to make it easier to analyze reports, the news is made into a dashboard form that is enhanced using Power BI applications.
{"title":"Dashboard-based Alumni Tracer Study Report Using Normalized Data Store Architecture","authors":"Asroni, Juanita Yusanti, S. Riyadi","doi":"10.1145/3316615.3316635","DOIUrl":"https://doi.org/10.1145/3316615.3316635","url":null,"abstract":"Universitas Muhammadiyah Yogyakarta is one of the universities in Indonesia. Every college must have graduated or called alumni. Alumni have an essential role in the development of educational institutions. Currently, alumni are used as one of the requirements for the university accreditation process by BAN-PT as evaluation material, therefore the importance of alumni monitoring or information, UMY has a tracer study to monitor alumni information using a questionnaire. However, to obtain data from the survey, it is still having trouble because the data is not yet integrated. Integrated data is collected by building a data warehouse. This research develops a data warehouse using NDS architecture, and There is some noise was found that need to be cleaned, such as null data and duplication of data. data warehouse alumni have been built, and it can meet the requirements of the institution that are displayed in a report to make it easier to analyze reports, the news is made into a dashboard form that is enhanced using Power BI applications.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128305646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Ullah, M. Asif, Shahbaz Ahmad, Ulfat Imdad, O. Sohaib
Today Pakistan is facing numerous challenges for the interconnection of local energy resources and for balanced energy policies. Data Science, Big Data, Artificial Intelligence (AI), IoT and Cloud computing draws our focus towards controlling energy crises in terms of smart energy generation, consumption and to overcome causes of energy crises. To make a conclusion valuable we have to extract significant value from a large amount of data that's why data management plays a significant role. This Paper presents a review of energy sectors, energy resources, energy crises in Pakistan. It also presents the possible solution of energy crises with the help of data science application and the involvement of Big Data, Cloud computing, IoT and AI.
{"title":"Application of Data Science for Controlling Energy Crises: A Case Study of Pakistan","authors":"S. Ullah, M. Asif, Shahbaz Ahmad, Ulfat Imdad, O. Sohaib","doi":"10.1145/3316615.3316616","DOIUrl":"https://doi.org/10.1145/3316615.3316616","url":null,"abstract":"Today Pakistan is facing numerous challenges for the interconnection of local energy resources and for balanced energy policies. Data Science, Big Data, Artificial Intelligence (AI), IoT and Cloud computing draws our focus towards controlling energy crises in terms of smart energy generation, consumption and to overcome causes of energy crises. To make a conclusion valuable we have to extract significant value from a large amount of data that's why data management plays a significant role. This Paper presents a review of energy sectors, energy resources, energy crises in Pakistan. It also presents the possible solution of energy crises with the help of data science application and the involvement of Big Data, Cloud computing, IoT and AI.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Rajapaksa, W. Rasanjana, I. Perera, D. Meedeniya
With the advancement of biology and computer science, the amount of DNA sequences has grown at a rapid rate giving rise to the analysis of phylogenetic trees with many taxa. The maximum likelihood analysis is commonly considered as the best approach in phylogenetic analyses, which is extremely intensive for computation. Availability of computer resources and the application of modern technologies are key factors that determine the use of such analyses. The paper presents a parallel implementation of a GPU accelerated maximum likelihood inference of phylogenetic trees on DNAml program of the PHYLIP package. The improved DNAml program uses both GPU and CPU processing to perform compute-intensive tasks in phylogenetic analyses. The evaluation results show a speedup of x2.94 for the GPU accelerated DNAml program than the existing program. As the results show the proposed system saves the processing time increasingly against the current system with the number of taxa.
{"title":"GPU Accelerated Maximum Likelihood Analysis for Phylogenetic Inference","authors":"S. Rajapaksa, W. Rasanjana, I. Perera, D. Meedeniya","doi":"10.1145/3316615.3316630","DOIUrl":"https://doi.org/10.1145/3316615.3316630","url":null,"abstract":"With the advancement of biology and computer science, the amount of DNA sequences has grown at a rapid rate giving rise to the analysis of phylogenetic trees with many taxa. The maximum likelihood analysis is commonly considered as the best approach in phylogenetic analyses, which is extremely intensive for computation. Availability of computer resources and the application of modern technologies are key factors that determine the use of such analyses. The paper presents a parallel implementation of a GPU accelerated maximum likelihood inference of phylogenetic trees on DNAml program of the PHYLIP package. The improved DNAml program uses both GPU and CPU processing to perform compute-intensive tasks in phylogenetic analyses. The evaluation results show a speedup of x2.94 for the GPU accelerated DNAml program than the existing program. As the results show the proposed system saves the processing time increasingly against the current system with the number of taxa.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116264665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammed A. Al-Sharafi, Ruzaini bin Abdullah Arshah, E. Abu-Shanab
In the business world, cloud computing (CC) technologies are emerging computing platforms used to improve the deployment of ICT services with the aim of improving performance and competitive advantage. However, enough attention has not been given to the factors that influence the continuous use behavior of organizations towards CC services. Hence, this study aims to develop a reliable and valid questionnaire for the determination of the continuous use behavior of SMEs towards CC services. The questionnaire used in this study passed through three basic steps in accordance to the established scale development guidelines provided by Moore and Benbasat [1]. The questionnaire included three main sections with 87 questions. The questionnaire serves as a tool that will help SMEs and CC service providers to plan their strategies for providing a supportive sustained use of CC services in Malaysia.
{"title":"Questionnaire Development Process to Measure the SMEs' Continuous Use behavior towards Cloud Computing Services","authors":"Mohammed A. Al-Sharafi, Ruzaini bin Abdullah Arshah, E. Abu-Shanab","doi":"10.1145/3316615.3316723","DOIUrl":"https://doi.org/10.1145/3316615.3316723","url":null,"abstract":"In the business world, cloud computing (CC) technologies are emerging computing platforms used to improve the deployment of ICT services with the aim of improving performance and competitive advantage. However, enough attention has not been given to the factors that influence the continuous use behavior of organizations towards CC services. Hence, this study aims to develop a reliable and valid questionnaire for the determination of the continuous use behavior of SMEs towards CC services. The questionnaire used in this study passed through three basic steps in accordance to the established scale development guidelines provided by Moore and Benbasat [1]. The questionnaire included three main sections with 87 questions. The questionnaire serves as a tool that will help SMEs and CC service providers to plan their strategies for providing a supportive sustained use of CC services in Malaysia.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127217750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samer Muthana Sarsam, H. Al-Samarraie, Bahiyah Omar
The use of emotions in microblogs to trace the occurrence of certain events and determine their locations is an open challenge for sentiment analysis. This study investigated the potential of detecting the geographical location of events based on existing linkages between the types of emotion embedded in tweets (degree of polarity) and the source location of those tweets. The extracted tweets were clustered using K-means algorithm and a predictive model was developed using Naïve Bayes algorithm. Then, a time series forecasting technique was applied using linear regression analysis. This method was used to predict the amount of emotions in association with the event of interest. Latitude and longitude were used to evaluate the results of the linear regression model on a real-time world map. Results showed that happy emotion tends to be a reliable source for detecting the geographical location of an event. This study revealed the feasibility of using the time series forecasting approach in investigating the degree of emotions in twitter messages.
{"title":"Geo-spatial-based Emotions: A Mechanism for Event Detection in Microblogs","authors":"Samer Muthana Sarsam, H. Al-Samarraie, Bahiyah Omar","doi":"10.1145/3316615.3316640","DOIUrl":"https://doi.org/10.1145/3316615.3316640","url":null,"abstract":"The use of emotions in microblogs to trace the occurrence of certain events and determine their locations is an open challenge for sentiment analysis. This study investigated the potential of detecting the geographical location of events based on existing linkages between the types of emotion embedded in tweets (degree of polarity) and the source location of those tweets. The extracted tweets were clustered using K-means algorithm and a predictive model was developed using Naïve Bayes algorithm. Then, a time series forecasting technique was applied using linear regression analysis. This method was used to predict the amount of emotions in association with the event of interest. Latitude and longitude were used to evaluate the results of the linear regression model on a real-time world map. Results showed that happy emotion tends to be a reliable source for detecting the geographical location of an event. This study revealed the feasibility of using the time series forecasting approach in investigating the degree of emotions in twitter messages.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127232600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ngo Tung Son, Le Phuong Chi, Phan Truong Lam, Tran Van Dinh
The computer vision has been advancing rapidly recently and it has become necessary to use the technology in the education area. As a part of it, the application of facial recognition technology plays an important role in building the intelligent education system, where teaching and learning can be measured to support quality improvement. The required-attendance taking activity at the schools is one of the important parts of the teaching process. The traditional attendance method causes several inconveniences such as wasting time and effort, easy to mistake and difficult to verify. In this paper, we introduce an automatic attendance system based on the combination of facial recognition technology and interaction with the existing academic portal. We conducted a review of several modern methods to select the most suitable open framework for individual tasks. Our proposed design is flexible and be able to apply to the large-scale set of students without compromising predictive accuracy. We have tested the system on more than 2200 freshmen at FPT University in Hanoi, Vietnam. Initial numerical results show the effectiveness in both aspects of the accuracy and performance of the prototype.
{"title":"Combination of Facial Recognition and Interaction with Academic Portal in Automatic Attendance System","authors":"Ngo Tung Son, Le Phuong Chi, Phan Truong Lam, Tran Van Dinh","doi":"10.1145/3316615.3316638","DOIUrl":"https://doi.org/10.1145/3316615.3316638","url":null,"abstract":"The computer vision has been advancing rapidly recently and it has become necessary to use the technology in the education area. As a part of it, the application of facial recognition technology plays an important role in building the intelligent education system, where teaching and learning can be measured to support quality improvement. The required-attendance taking activity at the schools is one of the important parts of the teaching process. The traditional attendance method causes several inconveniences such as wasting time and effort, easy to mistake and difficult to verify. In this paper, we introduce an automatic attendance system based on the combination of facial recognition technology and interaction with the existing academic portal. We conducted a review of several modern methods to select the most suitable open framework for individual tasks. Our proposed design is flexible and be able to apply to the large-scale set of students without compromising predictive accuracy. We have tested the system on more than 2200 freshmen at FPT University in Hanoi, Vietnam. Initial numerical results show the effectiveness in both aspects of the accuracy and performance of the prototype.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130840723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes an idea of development of an android App, PickUp to improve the airport arrival for new international students of Malaysia private higher learning institute. It intends to reduce the waiting time for international students at the airport when they arrive in Malaysia, thereby to stimulate sharing of updated information between the driver who is responsible for the pickup and the new students. It would inform the students about the estimated arrival time of the drivers and they can track the driver on google maps using this proposed idea of a mobile app. This proposed idea of mobile app would specifically to be used by students and drivers of private higher learning institute in Malaysia. Any changes in the scheduled arrival time for driver would be updated in the app and the students would be notified. Continuous alerts would be sent in case of delays or changes. Divers' locations and routes are shown on real time maps using Google maps. The application will be structured and tested where the users will be assured that the application gives the real time service which will be extremely useful for them.
{"title":"Proposing a Development of Geolocation Mobile Application for Airport Pickup of International Students PickUp","authors":"Zafeera Rashid, C. S. Mon, Raenu Kolandaisamy","doi":"10.1145/3316615.3316639","DOIUrl":"https://doi.org/10.1145/3316615.3316639","url":null,"abstract":"This paper proposes an idea of development of an android App, PickUp to improve the airport arrival for new international students of Malaysia private higher learning institute. It intends to reduce the waiting time for international students at the airport when they arrive in Malaysia, thereby to stimulate sharing of updated information between the driver who is responsible for the pickup and the new students. It would inform the students about the estimated arrival time of the drivers and they can track the driver on google maps using this proposed idea of a mobile app. This proposed idea of mobile app would specifically to be used by students and drivers of private higher learning institute in Malaysia. Any changes in the scheduled arrival time for driver would be updated in the app and the students would be notified. Continuous alerts would be sent in case of delays or changes. Divers' locations and routes are shown on real time maps using Google maps. The application will be structured and tested where the users will be assured that the application gives the real time service which will be extremely useful for them.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131234223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Database is an indispensable part of software development. In order to reduce unnecessary and redundant processes of accessing in database, the concept of Object-Relational Mapping (ORM) has been proposed and its corresponding applications have been widely accepted by developers. However, for a certain software system, accessing database systems is often one of the most common bottlenecks in performance improvement. In this paper, we propose the concept of "reference column(s)". In the actual business, there are many query operations with "reference column(s)" (non-primary) as parameters. Hibernate, as a popular ORM framework, provides excellent support for the above operation. Hibernate also implements a caching mechanism for storing query results. However, columns other than "reference column(s)" in these results may be frequently modified. Once any one of the above results has been updated, the corresponding searching could not be permitted to access the previous results storing in the cache. Accordingly, we propose a new hash-code based cache approach to avoid the emergence of the above problem. Extensive experiments on typical E-commerce datasets have been conducted to demonstrate the advantages of our approach.
{"title":"A Novel Efficient Query Strategy on Hibernate","authors":"Shuo Kuai, Yupeng Hu, Xinxiao Zhao, Dong Qin, Wentao Li, Xueqing Li","doi":"10.1145/3316615.3316717","DOIUrl":"https://doi.org/10.1145/3316615.3316717","url":null,"abstract":"Database is an indispensable part of software development. In order to reduce unnecessary and redundant processes of accessing in database, the concept of Object-Relational Mapping (ORM) has been proposed and its corresponding applications have been widely accepted by developers. However, for a certain software system, accessing database systems is often one of the most common bottlenecks in performance improvement. In this paper, we propose the concept of \"reference column(s)\". In the actual business, there are many query operations with \"reference column(s)\" (non-primary) as parameters. Hibernate, as a popular ORM framework, provides excellent support for the above operation. Hibernate also implements a caching mechanism for storing query results. However, columns other than \"reference column(s)\" in these results may be frequently modified. Once any one of the above results has been updated, the corresponding searching could not be permitted to access the previous results storing in the cache. Accordingly, we propose a new hash-code based cache approach to avoid the emergence of the above problem. Extensive experiments on typical E-commerce datasets have been conducted to demonstrate the advantages of our approach.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123829266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lan Huang, Congcong Yu, Yang Chi, Xiaohui Qi, Hao Xu
With the improvement of people's living standards, people pay more and more attention to healthcare, in which a healthy diet plays an important role. Therefore, a scientific knowledge management method about healthy diet which can integrate heterogeneous information from different sources and formats is urgently needed to reduce the information gaps and increase the utilization ratio of information. In this paper, we propose a healthy diet knowledge graph construction model that promotes the development of healthcare management. The model mainly consists of three modules: named entity recognition, relation recognition and entity relevance computation, which are implemented with conditional random fields, support vector machine and decision tree algorithms respectively. These three modules obtain good performances with 91.7%, 99% and 87% F1 score on the datasets from three different websites. Based on the above results, we build a healthy diet knowledge graph by using ontology which contains food, symptom, population, and nutrient element entities as well as relations between food and entities mentioned above, so that people can use it for diet recommendations and other tasks.
{"title":"Towards Smart Healthcare Management Based on Knowledge Graph Technology","authors":"Lan Huang, Congcong Yu, Yang Chi, Xiaohui Qi, Hao Xu","doi":"10.1145/3316615.3316678","DOIUrl":"https://doi.org/10.1145/3316615.3316678","url":null,"abstract":"With the improvement of people's living standards, people pay more and more attention to healthcare, in which a healthy diet plays an important role. Therefore, a scientific knowledge management method about healthy diet which can integrate heterogeneous information from different sources and formats is urgently needed to reduce the information gaps and increase the utilization ratio of information. In this paper, we propose a healthy diet knowledge graph construction model that promotes the development of healthcare management. The model mainly consists of three modules: named entity recognition, relation recognition and entity relevance computation, which are implemented with conditional random fields, support vector machine and decision tree algorithms respectively. These three modules obtain good performances with 91.7%, 99% and 87% F1 score on the datasets from three different websites. Based on the above results, we build a healthy diet knowledge graph by using ontology which contains food, symptom, population, and nutrient element entities as well as relations between food and entities mentioned above, so that people can use it for diet recommendations and other tasks.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123587422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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