Pub Date : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640109
Néstor Fabián Riveros, Carlos Rodríguez
The huge amount of information regarding software vulnerabilities, the multiple and heterogeneous information sources, and the lack of awareness about the dangers of software vulnerabilities, exacerbates the risks of security threats being materialized. In this complex context, this paper approaches the problem of managing early alerts for software vulnerablities by leveraging existing vulnerability information found in vulnerability repositories and social networks. To this end, we propose a solution based on techniques that stem from automated retrieval of information about vulneratilities from the above sources, userdefined preferences regarding their technological environment and intelligent vulnerability tagging. Our user studies reveal the feasibility of our approach as a tool for managing early alerts regarding software vulnerabilities and keeping security professionals aware of them.
{"title":"An Early Alert System for Software Vulnerabilities based on Vulnerability Repositories and Social Networks","authors":"Néstor Fabián Riveros, Carlos Rodríguez","doi":"10.1109/CLEI53233.2021.9640109","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640109","url":null,"abstract":"The huge amount of information regarding software vulnerabilities, the multiple and heterogeneous information sources, and the lack of awareness about the dangers of software vulnerabilities, exacerbates the risks of security threats being materialized. In this complex context, this paper approaches the problem of managing early alerts for software vulnerablities by leveraging existing vulnerability information found in vulnerability repositories and social networks. To this end, we propose a solution based on techniques that stem from automated retrieval of information about vulneratilities from the above sources, userdefined preferences regarding their technological environment and intelligent vulnerability tagging. Our user studies reveal the feasibility of our approach as a tool for managing early alerts regarding software vulnerabilities and keeping security professionals aware of them.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"25 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73121108","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640067
R. Costaguta, N. Salazar
The pandemic caused by Covid-19 affected all educational levels throughout the world. Several countries established periods of confinement for their inhabitants, and this led many teachers to adapt their courses for virtual development. This adaptation reduced in many cases to generating a rapid and emergency response through the digitization of what designed for a face-to-face environment, for example, with classes through videoconferences, redesigning activities to solve in a virtual environment, and solving online questionnaires. However, this article presents the adaptation of a university curricular space, specially designed for virtuality. It's about the educational innovation carried out on the Artificial Intelligence subject, which designed to take advantage of the potential of web 3.0 tools and mitigate the inconveniences of non-face-to-face classes. The results obtained highlight the innovative academic value of this initiative, and its transferability and sustainability over time.
{"title":"Disruptive Innovation: A valuable experience in the teaching and learning process of Artificial Intelligence","authors":"R. Costaguta, N. Salazar","doi":"10.1109/CLEI53233.2021.9640067","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640067","url":null,"abstract":"The pandemic caused by Covid-19 affected all educational levels throughout the world. Several countries established periods of confinement for their inhabitants, and this led many teachers to adapt their courses for virtual development. This adaptation reduced in many cases to generating a rapid and emergency response through the digitization of what designed for a face-to-face environment, for example, with classes through videoconferences, redesigning activities to solve in a virtual environment, and solving online questionnaires. However, this article presents the adaptation of a university curricular space, specially designed for virtuality. It's about the educational innovation carried out on the Artificial Intelligence subject, which designed to take advantage of the potential of web 3.0 tools and mitigate the inconveniences of non-face-to-face classes. The results obtained highlight the innovative academic value of this initiative, and its transferability and sustainability over time.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"11 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88618946","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640070
F. Giraldo, Cesar Villegas, María C. López-Tavera, Dairo A. Gil
This paper presents the development and validation of a Domain Specific Language (DSL) for managing procedures that are commonly used in the traceability of the coffee. For the development of the DSL, a conceptual model that is built from domain knowledge is presented. A controlled experiment is performed to verify a DSL to support traceability procedures in the production chain for coffee. The first version of this DSL, and its support and understandability are analyzed. Some principles from the Physics of Notations (PoN) approach have been used in the experimental design.
{"title":"Using a visual domain-specific language to support traceability in coffee production chain","authors":"F. Giraldo, Cesar Villegas, María C. López-Tavera, Dairo A. Gil","doi":"10.1109/CLEI53233.2021.9640070","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640070","url":null,"abstract":"This paper presents the development and validation of a Domain Specific Language (DSL) for managing procedures that are commonly used in the traceability of the coffee. For the development of the DSL, a conceptual model that is built from domain knowledge is presented. A controlled experiment is performed to verify a DSL to support traceability procedures in the production chain for coffee. The first version of this DSL, and its support and understandability are analyzed. Some principles from the Physics of Notations (PoN) approach have been used in the experimental design.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"6 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74901304","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640088
Clarice de Azevedo Souza, J. Bessa, Rosiane de Freitas, Micael Oliveira, Kelson Mota
A fast way to reconstruct the three-dimensional molecular conformation of SARS-CoV-2 virus proteins is addressed in this article, involving the most worrying variant discovered in patients from Brazil, the lineage $B$.1.1.28/$P$.1. The proposed methodology is based on the sequencing of virus proteins and that, through the incorporation of mutations in silico, which are then computationally reconstructed using an enumerative feasibility algorithm validated by the Ramachandran diagram and structural alignment, in addition to the subsequent study of structural stability through classical molecular dynamics. From the resulting structure to the ACE2-RBD complex, the valid solution presented 97.06% of the residues in the most favorable region while the reference crystallographic structure presented 95.0%, a difference therefore very small and revealing the great consistency of the developed algorithm. Another important result was the low RMSD alignment between the best solution by the BP algorithm and the reference structure, where we obtained 0.483Å. Finally, the molecular dynamics indicated greater structural stability in the ACE2-RBD interaction with the P.1 strain, which could be a plausible explanation for convergent evolution that provides an increase in the interaction affinity with the ACE2 receptor.
{"title":"Improvement of SARS-CoV-2 macromolecule conformation by algorithmic structural prediction","authors":"Clarice de Azevedo Souza, J. Bessa, Rosiane de Freitas, Micael Oliveira, Kelson Mota","doi":"10.1109/CLEI53233.2021.9640088","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640088","url":null,"abstract":"A fast way to reconstruct the three-dimensional molecular conformation of SARS-CoV-2 virus proteins is addressed in this article, involving the most worrying variant discovered in patients from Brazil, the lineage $B$.1.1.28/$P$.1. The proposed methodology is based on the sequencing of virus proteins and that, through the incorporation of mutations in silico, which are then computationally reconstructed using an enumerative feasibility algorithm validated by the Ramachandran diagram and structural alignment, in addition to the subsequent study of structural stability through classical molecular dynamics. From the resulting structure to the ACE2-RBD complex, the valid solution presented 97.06% of the residues in the most favorable region while the reference crystallographic structure presented 95.0%, a difference therefore very small and revealing the great consistency of the developed algorithm. Another important result was the low RMSD alignment between the best solution by the BP algorithm and the reference structure, where we obtained 0.483Å. Finally, the molecular dynamics indicated greater structural stability in the ACE2-RBD interaction with the P.1 strain, which could be a plausible explanation for convergent evolution that provides an increase in the interaction affinity with the ACE2 receptor.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"6 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74377309","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 : 2021-10-25DOI: 10.1109/clei53233.2021.9640121
{"title":"Program Committees","authors":"","doi":"10.1109/clei53233.2021.9640121","DOIUrl":"https://doi.org/10.1109/clei53233.2021.9640121","url":null,"abstract":"","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73364646","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640022
Bernis Loor-Zambrano, Frank Tello-Salvador, Roberth Alcivar-Cevallos, Leticia Vaca Cárdenas
Currently, social networks play a fundamental role in disseminating information on natural disasters and urban emergencies. This article presents a Systematic Literature Review (SLR) on using social media data as a basis for applying different classification, clustering, and prediction algorithms in emergency response scenarios. The first part focuses on information sources; after, the investigations that used classification, clustering, and prediction techniques or algorithms are described. Finally, the results obtained can be used to make optimal allocation and resource management decisions according to the emergency event.
{"title":"Approaches of predictive and clustering methods used in emergency events: A Systematic Literature Review","authors":"Bernis Loor-Zambrano, Frank Tello-Salvador, Roberth Alcivar-Cevallos, Leticia Vaca Cárdenas","doi":"10.1109/CLEI53233.2021.9640022","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640022","url":null,"abstract":"Currently, social networks play a fundamental role in disseminating information on natural disasters and urban emergencies. This article presents a Systematic Literature Review (SLR) on using social media data as a basis for applying different classification, clustering, and prediction algorithms in emergency response scenarios. The first part focuses on information sources; after, the investigations that used classification, clustering, and prediction techniques or algorithms are described. Finally, the results obtained can be used to make optimal allocation and resource management decisions according to the emergency event.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"12 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76233600","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640197
Laura González, Andrea Delgado
The daily operation of organizations leaves a trail of the execution of business processes (BPs) including activities, events and decisions taken by participants. Compliance requirements add specific control elements to process execution, e.g. domain and/or country regulations to be fulfilled, enforcing order of interaction messages or activities, or security checks on roles and permissions. As the amount of available data in organizations grows everyday, using execution data to detect compliance violations and its causes, can help organizations to take corrective actions for improving their processes and comply to applying rules. Compliance requirements violations can be detected at runtime to prevent further execution, or in a post mortem way using Process Mining to evaluate process execution data against the specified compliance requirements for the process. In this paper we present a BP compliance Requirements Model (BPCRM) defining generic compliance controls that can be used to specify specific compliance requirements over BPs, that are used as input to assess compliance violations with process mining. This model can be seen as a catalogue that includes a set of predefined compliance rules or patterns in one place, helping organizations to specify and evaluate the compliance of their processes.
{"title":"Compliance Requirements Model for collaborative business process and evaluation with process mining","authors":"Laura González, Andrea Delgado","doi":"10.1109/CLEI53233.2021.9640197","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640197","url":null,"abstract":"The daily operation of organizations leaves a trail of the execution of business processes (BPs) including activities, events and decisions taken by participants. Compliance requirements add specific control elements to process execution, e.g. domain and/or country regulations to be fulfilled, enforcing order of interaction messages or activities, or security checks on roles and permissions. As the amount of available data in organizations grows everyday, using execution data to detect compliance violations and its causes, can help organizations to take corrective actions for improving their processes and comply to applying rules. Compliance requirements violations can be detected at runtime to prevent further execution, or in a post mortem way using Process Mining to evaluate process execution data against the specified compliance requirements for the process. In this paper we present a BP compliance Requirements Model (BPCRM) defining generic compliance controls that can be used to specify specific compliance requirements over BPs, that are used as input to assess compliance violations with process mining. This model can be seen as a catalogue that includes a set of predefined compliance rules or patterns in one place, helping organizations to specify and evaluate the compliance of their processes.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"19 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75352461","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640117
Hugo Álvarez-Chaves, David F. Barrero, Helena Hernández Martínez, M. Benito
The COVID-19 pandemic has underlined that Emergency Department (ED) overcrowding is a critical factor in care services. Getting an approximation of the number of patients attending the department can assist in service resources planning and prevent overcrowding. In this manuscript we present the forecasting results for the admissions, inpatients and discharges series in ED by using different time aggregations (eight hours, twelve hours, one day and the service workers official shifts) and classical time series algorithms. Moreover, series forecasting is performed in two terms: long (four months ahead) and short (seven days ahead). The results show that time aggregations strongly influence the forecast quality, decreasing the effectiveness for one-day aggregations. In addition, best metrics are not obtained in the same aggregation, so there is no best aggregation for all cases. Therefore, it is essential to analyse the ED-related problem faced for the time aggregation selection.
{"title":"An Analysis of the Time Aggregation Influence on Patients Forecasting in Emergency Services","authors":"Hugo Álvarez-Chaves, David F. Barrero, Helena Hernández Martínez, M. Benito","doi":"10.1109/CLEI53233.2021.9640117","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640117","url":null,"abstract":"The COVID-19 pandemic has underlined that Emergency Department (ED) overcrowding is a critical factor in care services. Getting an approximation of the number of patients attending the department can assist in service resources planning and prevent overcrowding. In this manuscript we present the forecasting results for the admissions, inpatients and discharges series in ED by using different time aggregations (eight hours, twelve hours, one day and the service workers official shifts) and classical time series algorithms. Moreover, series forecasting is performed in two terms: long (four months ahead) and short (seven days ahead). The results show that time aggregations strongly influence the forecast quality, decreasing the effectiveness for one-day aggregations. In addition, best metrics are not obtained in the same aggregation, so there is no best aggregation for all cases. Therefore, it is essential to analyse the ED-related problem faced for the time aggregation selection.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"37 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80914730","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9639974
Álvaro Cabana, Lorena Etcheverry, M. Fariello, P. Bermolen, Marcelo Fiori
By February 2021, Uruguay was experiencing the first wave of the COVID-19 pandemic, while many countries were already suffering the second wave. Several countries took various measures to prevent the saturation of the health system, ranging from closure of restaurants and suspension of classes to nighttime traffic restrictions. In this paper, we explore the effect of mobility restriction measures on the infection incidence in countries that are in some way similar to Uruguay: they have between one and twelve million inhabitants, a reasonable testing effort and they had the epidemic under control at some point. For these countries, we study mobility indexes provided by Google, an index on governmental measures compiled by the University of Oxford, and the daily new cases per 100,000 inhabitants. First, we observed that the mobility reported by Google is directly related to government measures: the higher the level of restrictive measures, the lower the mobility index. Then, we analyze the influence of mobility reduction on the growth/decrease speed of the 7-day average of new cases per 100,000 inhabitants (P7) and show that high levels of mobility reduction lead to a decrease in the index. Finally, we related the required duration of mobility restrictions with the P7 maximum and also point out the risk of lifting the measures too early.
到2021年2月，乌拉圭正在经历COVID-19大流行的第一波，而许多国家已经遭受了第二波。几个国家采取了各种措施，从关闭餐馆和停课到夜间交通限制，以防止卫生系统饱和。在这篇论文中，我们探讨了行动限制措施对感染发生率的影响，这些国家在某种程度上与乌拉圭相似:它们有100万到1200万居民，有合理的检测工作，并且在某种程度上控制了疫情。对于这些国家，我们研究了谷歌(Google)提供的流动性指数、牛津大学(University of Oxford)编制的政府措施指数，以及每10万居民每日新增病例数。首先，我们观察到谷歌报告的流动性与政府措施直接相关:限制措施水平越高，流动性指数越低。然后，我们分析了流动性减少对每10万居民7天平均新增病例增长/减少速度的影响(P7)，并表明流动性减少水平高导致指数下降。最后，我们将行动限制所需的持续时间与P7最大值联系起来，并指出过早解除措施的风险。
{"title":"Assessing the impact of mobility reduction in the second wave of COVID-19","authors":"Álvaro Cabana, Lorena Etcheverry, M. Fariello, P. Bermolen, Marcelo Fiori","doi":"10.1109/CLEI53233.2021.9639974","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9639974","url":null,"abstract":"By February 2021, Uruguay was experiencing the first wave of the COVID-19 pandemic, while many countries were already suffering the second wave. Several countries took various measures to prevent the saturation of the health system, ranging from closure of restaurants and suspension of classes to nighttime traffic restrictions. In this paper, we explore the effect of mobility restriction measures on the infection incidence in countries that are in some way similar to Uruguay: they have between one and twelve million inhabitants, a reasonable testing effort and they had the epidemic under control at some point. For these countries, we study mobility indexes provided by Google, an index on governmental measures compiled by the University of Oxford, and the daily new cases per 100,000 inhabitants. First, we observed that the mobility reported by Google is directly related to government measures: the higher the level of restrictive measures, the lower the mobility index. Then, we analyze the influence of mobility reduction on the growth/decrease speed of the 7-day average of new cases per 100,000 inhabitants (P7) and show that high levels of mobility reduction lead to a decrease in the index. Finally, we related the required duration of mobility restrictions with the P7 maximum and also point out the risk of lifting the measures too early.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"6 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78636159","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640043
Bruno Amaral, Juan Manuel Tirado Martin, Lorena Etcheverry, P. Ezzatti
The application of graph databases to different domains is gaining momentum. The Resource Description Framework (RDF) is one of the data models supported by graph databases, and SPARQL is the standard query language for RDF graphs. These databases are also known as RDF triplestores. Many triplestores are implemented over the relational data model, using tables to store graphs and translating SPARQL queries into SQL queries, and this approach can lead to unnecessary overheads. On the other hand, in the context of High- Performance Computing (HPC), implementations over hybrid hardware platforms using Numerical Linear Algebra (NLA) operations have become an effective and efficient computing strategy in the last decade. In particular, Graphics Processing Units (GPUs) have been adopted to perform general-purpose computations due to their high performance, reasonable prices, and an attractive relationship between computing capacity and energy consumption. In the context described above, this paper presents an initial study on the efficient implementation of a set of SPARQL queries in terms of NLA operations. Additionally, we evaluate the performance of implementing these operations on GPUs.
{"title":"Improving the performance of graph database queries using linear algebra operations","authors":"Bruno Amaral, Juan Manuel Tirado Martin, Lorena Etcheverry, P. Ezzatti","doi":"10.1109/CLEI53233.2021.9640043","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640043","url":null,"abstract":"The application of graph databases to different domains is gaining momentum. The Resource Description Framework (RDF) is one of the data models supported by graph databases, and SPARQL is the standard query language for RDF graphs. These databases are also known as RDF triplestores. Many triplestores are implemented over the relational data model, using tables to store graphs and translating SPARQL queries into SQL queries, and this approach can lead to unnecessary overheads. On the other hand, in the context of High- Performance Computing (HPC), implementations over hybrid hardware platforms using Numerical Linear Algebra (NLA) operations have become an effective and efficient computing strategy in the last decade. In particular, Graphics Processing Units (GPUs) have been adopted to perform general-purpose computations due to their high performance, reasonable prices, and an attractive relationship between computing capacity and energy consumption. In the context described above, this paper presents an initial study on the efficient implementation of a set of SPARQL queries in terms of NLA operations. Additionally, we evaluate the performance of implementing these operations on GPUs.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"59 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80534155","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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