Pub Date : 2022-09-12DOI: 10.48550/arXiv.2209.05359
Eleftherios Kalogeros, M. Gergatsoulis, M. Damigos, C. Nomikos
As RDF becomes more widely established and the amount of linked data is rapidly increasing, the efficient querying of large amount of data becomes a significant challenge. In this paper, we propose a family of algorithms for querying large amount of linked data in a distributed manner. These query evaluation algorithms are independent of the way the data is stored, as well as of the particular implementation of the query evaluation. We then use the MapReduce paradigm to present a distributed implementation of these algorithms and experimentally evaluate them, although the algorithms could be straightforwardly translated into other distributed processing frameworks. We also investigate and propose multiple query decomposition approaches of Basic Graph Patterns (subclass of SPARQL queries) that are used to improve the overall performance of the distributed query answering. A deep analysis of the effectiveness of these decomposition algorithms is also provided.
{"title":"Efficient query evaluation techniques over large amount of distributed linked data","authors":"Eleftherios Kalogeros, M. Gergatsoulis, M. Damigos, C. Nomikos","doi":"10.48550/arXiv.2209.05359","DOIUrl":"https://doi.org/10.48550/arXiv.2209.05359","url":null,"abstract":"As RDF becomes more widely established and the amount of linked data is rapidly increasing, the efficient querying of large amount of data becomes a significant challenge. In this paper, we propose a family of algorithms for querying large amount of linked data in a distributed manner. These query evaluation algorithms are independent of the way the data is stored, as well as of the particular implementation of the query evaluation. We then use the MapReduce paradigm to present a distributed implementation of these algorithms and experimentally evaluate them, although the algorithms could be straightforwardly translated into other distributed processing frameworks. We also investigate and propose multiple query decomposition approaches of Basic Graph Patterns (subclass of SPARQL queries) that are used to improve the overall performance of the distributed query answering. A deep analysis of the effectiveness of these decomposition algorithms is also provided.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"38 1","pages":"102194"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78067410","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}
Pub Date : 2022-06-20DOI: 10.48550/arXiv.2206.10009
Dina Bayomie, Claudio Di Ciccio, J. Mendling
Process mining supports the analysis of the actual behavior and performance of business processes using event logs. % such as, e.g., sales transactions recorded by an ERP system. An essential requirement is that every event in the log must be associated with a unique case identifier (e.g., the order ID of an order-to-cash process). In reality, however, this case identifier may not always be present, especially when logs are acquired from different systems or extracted from non-process-aware information systems. In such settings, the event log needs to be pre-processed by grouping events into cases -- an operation known as event correlation. Existing techniques for correlating events have worked with assumptions to make the problem tractable: some assume the generative processes to be acyclic, while others require heuristic information or user input. Moreover, %these techniques' primary assumption is that they abstract the log to activities and timestamps, and miss the opportunity to use data attributes. % In this paper, we lift these assumptions and propose a new technique called EC-SA-Data based on probabilistic optimization. The technique takes as inputs a sequence of timestamped events (the log without case IDs), a process model describing the underlying business process, and constraints over the event attributes. Our approach returns an event log in which every event is associated with a case identifier. The technique allows users to incorporate rules on process knowledge and data constraints flexibly. The approach minimizes the misalignment between the generated log and the input process model, maximizes the support of the given data constraints over the correlated log, and the variance between activity durations across cases. Our experiments with various real-life datasets show the advantages of our approach over the state of the art.
{"title":"Event-Case Correlation for Process Mining using Probabilistic Optimization","authors":"Dina Bayomie, Claudio Di Ciccio, J. Mendling","doi":"10.48550/arXiv.2206.10009","DOIUrl":"https://doi.org/10.48550/arXiv.2206.10009","url":null,"abstract":"Process mining supports the analysis of the actual behavior and performance of business processes using event logs. % such as, e.g., sales transactions recorded by an ERP system. An essential requirement is that every event in the log must be associated with a unique case identifier (e.g., the order ID of an order-to-cash process). In reality, however, this case identifier may not always be present, especially when logs are acquired from different systems or extracted from non-process-aware information systems. In such settings, the event log needs to be pre-processed by grouping events into cases -- an operation known as event correlation. Existing techniques for correlating events have worked with assumptions to make the problem tractable: some assume the generative processes to be acyclic, while others require heuristic information or user input. Moreover, %these techniques' primary assumption is that they abstract the log to activities and timestamps, and miss the opportunity to use data attributes. % In this paper, we lift these assumptions and propose a new technique called EC-SA-Data based on probabilistic optimization. The technique takes as inputs a sequence of timestamped events (the log without case IDs), a process model describing the underlying business process, and constraints over the event attributes. Our approach returns an event log in which every event is associated with a case identifier. The technique allows users to incorporate rules on process knowledge and data constraints flexibly. The approach minimizes the misalignment between the generated log and the input process model, maximizes the support of the given data constraints over the correlated log, and the variance between activity durations across cases. Our experiments with various real-life datasets show the advantages of our approach over the state of the art.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"46 10","pages":"102167"},"PeriodicalIF":0.0,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91502374","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}
With the improvement of technology and tactics, the rhythm of football match is getting faster and faster, which leads to more intense competition behavior in a football match; the physical contact of both players is also increasing, and the frequency of fouls by football players is getting higher and higher. This leads to fouls by players. Because of the error of visual analysis, in the crowd of high-level football players, the traditional football players’ foul behavior feature extraction method has the problem of low precision of foul action feature extraction. This paper mainly studies the feature extraction of soccer players’ foul action based on machine vision. To solve these problems, this paper uses a machine vision-based football player foul action feature extraction method, using a machine vision system to obtain football player action image, based on threshold recognition algorithm to identify the football player’s foul action. Based on the recognition of the foul action image, the potential function sequence of the foul action sequence is established by the Harris 3D operator, and the characteristic data of football player foul action are filtered by the AdaBoost algorithm. The simulation results show that this method has high accuracy in identifying fouls in the range of high-level football players and effectively reduces the recognition error. The method proposed in this paper can effectively analyze the characteristics of foul action and help football clubs to develop more perfect tactics.
{"title":"Feature Extraction of Foul Action of Football Players Based on Machine Vision","authors":"Hao Guan, Hualiang Niu","doi":"10.1155/2022/7253159","DOIUrl":"https://doi.org/10.1155/2022/7253159","url":null,"abstract":"With the improvement of technology and tactics, the rhythm of football match is getting faster and faster, which leads to more intense competition behavior in a football match; the physical contact of both players is also increasing, and the frequency of fouls by football players is getting higher and higher. This leads to fouls by players. Because of the error of visual analysis, in the crowd of high-level football players, the traditional football players’ foul behavior feature extraction method has the problem of low precision of foul action feature extraction. This paper mainly studies the feature extraction of soccer players’ foul action based on machine vision. To solve these problems, this paper uses a machine vision-based football player foul action feature extraction method, using a machine vision system to obtain football player action image, based on threshold recognition algorithm to identify the football player’s foul action. Based on the recognition of the foul action image, the potential function sequence of the foul action sequence is established by the Harris 3D operator, and the characteristic data of football player foul action are filtered by the AdaBoost algorithm. The simulation results show that this method has high accuracy in identifying fouls in the range of high-level football players and effectively reduces the recognition error. The method proposed in this paper can effectively analyze the characteristics of foul action and help football clubs to develop more perfect tactics.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"44 1","pages":"7253159:1-7253159:6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75656154","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}
In view of the low quality, low efficiency, and excessive restrictions of traditional talent recruitment and management methods, which can no longer meet the needs of talent recruitment and management under the current new economic situation, this urgent problem needs to be solved. With the development of mobile communication, intelligent terminal, and Internet technology, human resource signboard management is gradually transformed into the Internet model. This paper adopts the enterprise human resource recruitment management mode in the mobile Internet era. In order to prove the effectiveness of the algorithm proposed in this article, we carried out a large number of related experiments. The results show that the enterprise human resource recruitment management model in the mobile Internet era increased recruitment efficiency by 18%. Finally, the content studied in this article can provide some reference ideas for subsequent research.
{"title":"Enterprise Human Resources Recruitment Management Model in the Era of Mobile Internet","authors":"Yanhua Yang, Yu Wang","doi":"10.1155/2022/7607864","DOIUrl":"https://doi.org/10.1155/2022/7607864","url":null,"abstract":"In view of the low quality, low efficiency, and excessive restrictions of traditional talent recruitment and management methods, which can no longer meet the needs of talent recruitment and management under the current new economic situation, this urgent problem needs to be solved. With the development of mobile communication, intelligent terminal, and Internet technology, human resource signboard management is gradually transformed into the Internet model. This paper adopts the enterprise human resource recruitment management mode in the mobile Internet era. In order to prove the effectiveness of the algorithm proposed in this article, we carried out a large number of related experiments. The results show that the enterprise human resource recruitment management model in the mobile Internet era increased recruitment efficiency by 18%. Finally, the content studied in this article can provide some reference ideas for subsequent research.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"58 1","pages":"7607864:1-7607864:6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80527704","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}
Particle swarm optimization (PSO), one of the classical path planning algorithms, has been considered for unmanned aerial vehicle (UAV) path planning more frequently in recent years. A large amount of studies on UAV path planning based on modified PSO have been reported. However, most UAV path planning algorithms still optimize only one kind terrain problem which is mountain terrain. At the same time, many modified PSO algorithms also have some problems, such as insufficient convergence and unsatisfactory efficiency. In this paper, six kinds of terrain functions of UAV path planning are proposed to simulate real-world application. The terrain functions contain city, village without houses, village with houses, mountainous area without houses, mountainous area with houses, and mountainous area with a huge building. Inspired by CLPSO and BLPSO, we proposed a new double-dynamic biogeography-based learning particle swarm optimization (DDBLPSO) algorithm to solve these problems. The double-dynamic biogeography-based learning strategy replacing the traditional learning mechanism from the personal and global best particles is used to select the learning particles. In this strategy, each particle will learn from the better one of two selected particles which are not worse than itself. However, one random component of particle will replaced by corresponding component of other particle if all components of the particle only learn from itself. In this way, particles sufficiently learn from better objects and maintain the ability of jumping out of local optimality. The superiority of our algorithm is verified with four relevant algorithms, a PSO variant, and a BBO variant on the benchmark suite of CEC2015. Real-world application demonstrates that the algorithm we proposed outperforms four relevant algorithms, a PSO variant, and a BBO variant both in small-scale problems and large-scale problems. This paper shows a good application of our novel algorithm.
{"title":"A Novel UAV Path Planning Algorithm Based on Double-Dynamic Biogeography-Based Learning Particle Swarm Optimization","authors":"Y. Ji, Xinchao Zhao, Junling Hao","doi":"10.1155/2022/8519708","DOIUrl":"https://doi.org/10.1155/2022/8519708","url":null,"abstract":"Particle swarm optimization (PSO), one of the classical path planning algorithms, has been considered for unmanned aerial vehicle (UAV) path planning more frequently in recent years. A large amount of studies on UAV path planning based on modified PSO have been reported. However, most UAV path planning algorithms still optimize only one kind terrain problem which is mountain terrain. At the same time, many modified PSO algorithms also have some problems, such as insufficient convergence and unsatisfactory efficiency. In this paper, six kinds of terrain functions of UAV path planning are proposed to simulate real-world application. The terrain functions contain city, village without houses, village with houses, mountainous area without houses, mountainous area with houses, and mountainous area with a huge building. Inspired by CLPSO and BLPSO, we proposed a new double-dynamic biogeography-based learning particle swarm optimization (DDBLPSO) algorithm to solve these problems. The double-dynamic biogeography-based learning strategy replacing the traditional learning mechanism from the personal and global best particles is used to select the learning particles. In this strategy, each particle will learn from the better one of two selected particles which are not worse than itself. However, one random component of particle will replaced by corresponding component of other particle if all components of the particle only learn from itself. In this way, particles sufficiently learn from better objects and maintain the ability of jumping out of local optimality. The superiority of our algorithm is verified with four relevant algorithms, a PSO variant, and a BBO variant on the benchmark suite of CEC2015. Real-world application demonstrates that the algorithm we proposed outperforms four relevant algorithms, a PSO variant, and a BBO variant both in small-scale problems and large-scale problems. This paper shows a good application of our novel algorithm.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"7 1","pages":"8519708:1-8519708:23"},"PeriodicalIF":0.0,"publicationDate":"2022-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83147519","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}
The advent of the era of big data has had a great impact on traditional management methods, and companies have also begun to make changes. The management approach has changed from initially focusing on business development to now focusing on user experience and putting people first. The data standard classification management system is a system for management and analysis based on the database. Therefore, this article is based on data standards, taking hydropower companies as an example, to design and research the data classification management system to promote the operation and safety of hydropower companies. This article mainly uses the experimental method, data collection method, and algorithm analysis method to thoroughly understand and explore the content of this article. The experimental results show that the testability of this article can basically reach the general level, and the delay time of the system does not exceed 10 seconds, which can be applied to the company.
{"title":"Design of Data Classification and Classification Management System for Big Data of Hydropower Enterprises Based on Data Standards","authors":"Wei Luo, Jian Xu, Ziqi Zhou","doi":"10.1155/2022/8103897","DOIUrl":"https://doi.org/10.1155/2022/8103897","url":null,"abstract":"The advent of the era of big data has had a great impact on traditional management methods, and companies have also begun to make changes. The management approach has changed from initially focusing on business development to now focusing on user experience and putting people first. The data standard classification management system is a system for management and analysis based on the database. Therefore, this article is based on data standards, taking hydropower companies as an example, to design and research the data classification management system to promote the operation and safety of hydropower companies. This article mainly uses the experimental method, data collection method, and algorithm analysis method to thoroughly understand and explore the content of this article. The experimental results show that the testability of this article can basically reach the general level, and the delay time of the system does not exceed 10 seconds, which can be applied to the company.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"38 1","pages":"8103897:1-8103897:7"},"PeriodicalIF":0.0,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73825193","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}
Stivin Aloyce Nchimbi, Michael Kisangiri, M. Dida, A. Barakabitze
Despite massive mobile phones adoption globally, Agriculture Supply Chain (ASC) in Tanzania is challenged by the low adoption of m-commerce integrated to m-payment and m-transport services as key information enablers for efficiently linking farmers to buyers. With such an inefficient and ineffective information gap, middlemen have become information custodians by decreasing farmers’ bargaining power in the market. In addressing the challenge, this study uses stakeholders to validate core services needed and proposes service architecture for Agro-Goods Transport and Commerce (AgroTC) system using installable and build-in mobile phone applications (internet web, mobile apps, and USSD). The proposed method appreciates a user-centric approach for system development. A scenario of the potato supply chain in Tanzania was considered where 2309 respondents were interviewed from farmers, buyers, and transport service providers from a predetermined sample size (n = 384) having a 95% confidence level. Data were collected using mobile phones configured with Open Data Kit (ODK) technology and analyzed using the R Studio tool with Pandas libraries. The results indicated that buyers were not interested in disease and land management information. Collectively, farmers (74%) and buyers (60%) highly demand m-commerce services as a virtual platform for linking them. Only farmers showed concern about disease management information. Furthermore, 35% of the farmers and 57% of the buyers need m-transport, whereas 35% of the farmers and 69% of the buyers need m-payment service. It was revealed that the remaining percentages lack knowledge on mobile phone features to perform online businesses. All transport service providers pointed to the challenge of existing middlemen in reaching customers and required technological change in managing transport systems. The proposed mobile-based AgroTC architecture provides a foundation business approach in Tanzania and many developing countries. System developers and innovators can use the proposed architecture design to design prototypes using the preferred language to meet ASC stakeholders’ needs and expectations.
尽管在全球范围内大量使用移动电话，但坦桑尼亚的农业供应链(ASC)仍面临着移动商务与移动支付和移动运输服务相结合的低采采率的挑战，移动商务是有效连接农民与买家的关键信息推动者。在这种低效和无效的信息缺口下，中间商通过降低农民在市场上的议价能力，成为了信息保管人。为了应对这一挑战，本研究利用利益相关者来验证所需的核心服务，并利用可安装和内置的移动电话应用程序(互联网、移动应用程序和USSD)提出农产品运输和商业(AgroTC)系统的服务架构。提出的方法欣赏以用户为中心的系统开发方法。考虑了坦桑尼亚马铃薯供应链的情景，其中来自预定样本量(n = 384)的2309名受访者进行了访谈，置信度为95%。使用配置了Open Data Kit (ODK)技术的手机收集数据，并使用带有Pandas库的R Studio工具进行分析。结果表明，买家对疾病和土地管理信息不感兴趣。总的来说，农民(74%)和买家(60%)高度要求移动商务服务作为连接他们的虚拟平台。只有农民对疾病管理信息表示关注。此外，35%的农民和57%的买家需要移动运输，35%的农民和69%的买家需要移动支付服务。据透露，剩下的比例缺乏对手机功能的了解，无法开展在线业务。所有运输服务提供者都指出，现有的中间商在接触客户方面存在挑战，需要在管理运输系统方面进行技术改革。拟议的基于移动的AgroTC架构为坦桑尼亚和许多发展中国家提供了一种基础业务方法。系统开发人员和革新者可以使用建议的体系结构设计来设计原型，使用首选语言来满足ASC涉众的需求和期望。
{"title":"Design a Services Architecture for Mobile-Based Agro-Goods Transport and Commerce System","authors":"Stivin Aloyce Nchimbi, Michael Kisangiri, M. Dida, A. Barakabitze","doi":"10.1155/2022/6041197","DOIUrl":"https://doi.org/10.1155/2022/6041197","url":null,"abstract":"Despite massive mobile phones adoption globally, Agriculture Supply Chain (ASC) in Tanzania is challenged by the low adoption of m-commerce integrated to m-payment and m-transport services as key information enablers for efficiently linking farmers to buyers. With such an inefficient and ineffective information gap, middlemen have become information custodians by decreasing farmers’ bargaining power in the market. In addressing the challenge, this study uses stakeholders to validate core services needed and proposes service architecture for Agro-Goods Transport and Commerce (AgroTC) system using installable and build-in mobile phone applications (internet web, mobile apps, and USSD). The proposed method appreciates a user-centric approach for system development. A scenario of the potato supply chain in Tanzania was considered where 2309 respondents were interviewed from farmers, buyers, and transport service providers from a predetermined sample size (n = 384) having a 95% confidence level. Data were collected using mobile phones configured with Open Data Kit (ODK) technology and analyzed using the R Studio tool with Pandas libraries. The results indicated that buyers were not interested in disease and land management information. Collectively, farmers (74%) and buyers (60%) highly demand m-commerce services as a virtual platform for linking them. Only farmers showed concern about disease management information. Furthermore, 35% of the farmers and 57% of the buyers need m-transport, whereas 35% of the farmers and 69% of the buyers need m-payment service. It was revealed that the remaining percentages lack knowledge on mobile phone features to perform online businesses. All transport service providers pointed to the challenge of existing middlemen in reaching customers and required technological change in managing transport systems. The proposed mobile-based AgroTC architecture provides a foundation business approach in Tanzania and many developing countries. System developers and innovators can use the proposed architecture design to design prototypes using the preferred language to meet ASC stakeholders’ needs and expectations.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"40 1","pages":"6041197:1-6041197:11"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81919930","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}
Hee-Kon Choi, Jong-Youl Hong, Sangheon Kim, Kwang-soon Rim
The excavation of the prehistoric sites in Korea has been on since the Japanese colonial period. However, it was only after the 1970s that it was undertaken in earnest. Many excavation research institutes, including state agencies, are still conducting excavation research. However, the excavation report, which summarizes the findings, is not serviced on an integrated platform. As a result, acquisition of integrated knowledge and research on Korea's prehistoric remains are not properly facilitated. Therefore, it is urgent to establish a database of prehistoric remains. This requires considering the characteristics of archeological excavation work and the specificity of publishing excavation reports. It is desirable to design and build database (DB) tables for excavation reports of relics and ruins, multimedia, and excavation investigations, by focusing on the DB table for prehistoric remains. Once the database is established, it will help expand cultural heritage information services through tools, such as electronic maps or the Internet of Things.
{"title":"A Study on the Construction and Utilization of Korean Prehistoric Remains Database","authors":"Hee-Kon Choi, Jong-Youl Hong, Sangheon Kim, Kwang-soon Rim","doi":"10.1155/2022/7081286","DOIUrl":"https://doi.org/10.1155/2022/7081286","url":null,"abstract":"The excavation of the prehistoric sites in Korea has been on since the Japanese colonial period. However, it was only after the 1970s that it was undertaken in earnest. Many excavation research institutes, including state agencies, are still conducting excavation research. However, the excavation report, which summarizes the findings, is not serviced on an integrated platform. As a result, acquisition of integrated knowledge and research on Korea's prehistoric remains are not properly facilitated. Therefore, it is urgent to establish a database of prehistoric remains. This requires considering the characteristics of archeological excavation work and the specificity of publishing excavation reports. It is desirable to design and build database (DB) tables for excavation reports of relics and ruins, multimedia, and excavation investigations, by focusing on the DB table for prehistoric remains. Once the database is established, it will help expand cultural heritage information services through tools, such as electronic maps or the Internet of Things.","PeriodicalId":18790,"journal":{"name":"Mob. Inf. Syst.","volume":"1 1","pages":"7081286:1-7081286:12"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76946620","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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