Latent Semantic Index: A Microservices Architecture

Julio Proaño; Andres Reinoso; Jonnathan Juma

doi:10.1007/978-3-030-46785-2_12

Latent Semantic Index: A Microservices Architecture

Julio Proaño
, Andres Reinoso
, Jonnathan Juma

Grupo de Investigación Infraestructura de Datos Espaciales Inteligencia Artificial Geoportales y Computación Aplicada (IDE IA GEO CA)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

Nowadays, searching for a topic on the Internet can be a frustrating experience because of all the excessive information. Thus, a strategy for automatically classifying the results can improve user experience and work efficiency. Latent Semantic Indexing (LSI) algorithm is used to classify documents by meaning due to its effectiveness. However, there is a problem with the implementation of this algorithm. LSI is computationally intensive because the cost is directly related to the number of documents. In particular, the Singular Value Decomposition (SVD) that is mainly used in LSI is unscalable in terms of both memory and computation time. One possible solution is to use more powerful computational resources, such as multiple computing nodes. In this paper, a novel distributed architecture for the LSI algorithm is proposed. It is based on the use of microservices in a Google Cloud environment. We evaluated the performances of the proposed Cloud-based LSI, and comparison is made with standalone LSI. The results show the benefits of using distributed systems based on runtime, concurrency, and processing.

Idioma original	Inglés
Título de la publicación alojada	Smart Technologies, Systems and Applications - 1st International Conference, SmartTech-IC 2019, Proceedings
Editores	Fabián R. Narváez, Diego F. Vallejo, Paulina A. Morillo, Julio R. Proaño
Editorial	Springer
Páginas	142-153
Número de páginas	12
ISBN (versión impresa)	9783030467845
DOI	https://doi.org/10.1007/978-3-030-46785-2_12
Estado	Publicada - 1 ene. 2020
Evento	1st International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2019 - Quito, Ecuador Duración: 2 dic. 2019 → 4 dic. 2019

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1154 CCIS

Conferencia

Conferencia	1st International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2019
País/Territorio	Ecuador
Ciudad	Quito
Período	2/12/19 → 4/12/19

Nota bibliográfica

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

Acceder al documento

10.1007/978-3-030-46785-2_12

Otros archivos y enlaces

Aplicaciones en Ciencia de Datos
Navas Ruilova, G. E. (Investigador principal), Tufiño Cardenas, R. E. (Investigador Secundario), Prieto Velez, P. M. (Investigador Secundario), Padilla Arias, W. R. (Investigador Secundario), Arevalo Campos, A. R. (Investigador Secundario), Llerena Paz, R. D. (Investigador Secundario), Valencia Sánchez, J. X. (Estudiante Investigador), Almachi Viteri, W. M. (Estudiante Investigador), Sulca Arévalo, J. L. (Estudiante Investigador), Calderón Yépez, J. J. (Estudiante Investigador), Almeida Muñoz, J. F. (Estudiante Investigador), Solís Cúñez, S. M. (Estudiante Investigador), Sosa Erazo, M. V. (Estudiante Investigador), Zambonino Altamirano, M. A. (Estudiante Investigador), Herrera Herrera, E. L. (Estudiante Investigador), Figueroa Quinga, H. R. (Estudiante Investigador), Calahorrano Caiza, J. G. (Estudiante Investigador), Sacancela Chicharron, L. F. (Estudiante Investigador), Alomoto Tipanluisa, D. V. (Estudiante Investigador), Carrera Jarrín, A. A. (Estudiante Investigador), Echeverría Villacis, D. A. (Estudiante Investigador), Reimundo Gualotuña, J. A. (Estudiante Investigador) & Cueva Castillo, A. D. (Estudiante Investigador)
24/03/19 → 24/03/20
Proyecto: Investigación y Desarrollo

Citar esto

Proaño, J., Reinoso, A., & Juma, J. (2020). Latent Semantic Index: A Microservices Architecture. En F. R. Narváez, D. F. Vallejo, P. A. Morillo, & J. R. Proaño (Eds.), Smart Technologies, Systems and Applications - 1st International Conference, SmartTech-IC 2019, Proceedings (pp. 142-153). (Communications in Computer and Information Science; Vol. 1154 CCIS). Springer. https://doi.org/10.1007/978-3-030-46785-2_12

Proaño, Julio ; Reinoso, Andres ; Juma, Jonnathan. / Latent Semantic Index : A Microservices Architecture. Smart Technologies, Systems and Applications - 1st International Conference, SmartTech-IC 2019, Proceedings. editor / Fabián R. Narváez ; Diego F. Vallejo ; Paulina A. Morillo ; Julio R. Proaño. Springer, 2020. pp. 142-153 (Communications in Computer and Information Science).

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title = "Latent Semantic Index: A Microservices Architecture",

abstract = "Nowadays, searching for a topic on the Internet can be a frustrating experience because of all the excessive information. Thus, a strategy for automatically classifying the results can improve user experience and work efficiency. Latent Semantic Indexing (LSI) algorithm is used to classify documents by meaning due to its effectiveness. However, there is a problem with the implementation of this algorithm. LSI is computationally intensive because the cost is directly related to the number of documents. In particular, the Singular Value Decomposition (SVD) that is mainly used in LSI is unscalable in terms of both memory and computation time. One possible solution is to use more powerful computational resources, such as multiple computing nodes. In this paper, a novel distributed architecture for the LSI algorithm is proposed. It is based on the use of microservices in a Google Cloud environment. We evaluated the performances of the proposed Cloud-based LSI, and comparison is made with standalone LSI. The results show the benefits of using distributed systems based on runtime, concurrency, and processing.",

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Proaño, J, Reinoso, A & Juma, J 2020, Latent Semantic Index: A Microservices Architecture. En FR Narváez, DF Vallejo, PA Morillo & JR Proaño (eds.), Smart Technologies, Systems and Applications - 1st International Conference, SmartTech-IC 2019, Proceedings. Communications in Computer and Information Science, vol. 1154 CCIS, Springer, pp. 142-153, 1st International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2019, Quito, Ecuador, 2/12/19. https://doi.org/10.1007/978-3-030-46785-2_12

Latent Semantic Index: A Microservices Architecture. / Proaño, Julio; Reinoso, Andres; Juma, Jonnathan.
Smart Technologies, Systems and Applications - 1st International Conference, SmartTech-IC 2019, Proceedings. ed. / Fabián R. Narváez; Diego F. Vallejo; Paulina A. Morillo; Julio R. Proaño. Springer, 2020. p. 142-153 (Communications in Computer and Information Science; Vol. 1154 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Latent Semantic Index

T2 - 1st International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2019

AU - Proaño, Julio

AU - Reinoso, Andres

AU - Juma, Jonnathan

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Nowadays, searching for a topic on the Internet can be a frustrating experience because of all the excessive information. Thus, a strategy for automatically classifying the results can improve user experience and work efficiency. Latent Semantic Indexing (LSI) algorithm is used to classify documents by meaning due to its effectiveness. However, there is a problem with the implementation of this algorithm. LSI is computationally intensive because the cost is directly related to the number of documents. In particular, the Singular Value Decomposition (SVD) that is mainly used in LSI is unscalable in terms of both memory and computation time. One possible solution is to use more powerful computational resources, such as multiple computing nodes. In this paper, a novel distributed architecture for the LSI algorithm is proposed. It is based on the use of microservices in a Google Cloud environment. We evaluated the performances of the proposed Cloud-based LSI, and comparison is made with standalone LSI. The results show the benefits of using distributed systems based on runtime, concurrency, and processing.

AB - Nowadays, searching for a topic on the Internet can be a frustrating experience because of all the excessive information. Thus, a strategy for automatically classifying the results can improve user experience and work efficiency. Latent Semantic Indexing (LSI) algorithm is used to classify documents by meaning due to its effectiveness. However, there is a problem with the implementation of this algorithm. LSI is computationally intensive because the cost is directly related to the number of documents. In particular, the Singular Value Decomposition (SVD) that is mainly used in LSI is unscalable in terms of both memory and computation time. One possible solution is to use more powerful computational resources, such as multiple computing nodes. In this paper, a novel distributed architecture for the LSI algorithm is proposed. It is based on the use of microservices in a Google Cloud environment. We evaluated the performances of the proposed Cloud-based LSI, and comparison is made with standalone LSI. The results show the benefits of using distributed systems based on runtime, concurrency, and processing.

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KW - Latent Semantic Index

KW - Micro services

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A2 - Vallejo, Diego F.

A2 - Morillo, Paulina A.

A2 - Proaño, Julio R.

PB - Springer

Y2 - 2 December 2019 through 4 December 2019

ER -

Latent Semantic Index: A Microservices Architecture

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

Acceder al documento

Otros archivos y enlaces

Proyectos

Aplicaciones en Ciencia de Datos

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