In this paper, firstly introducing the B/S structure and the WEBGIS technology, giving a brief understanding;then discussing the oil extraction engineering data query system which based on WEBGIS technology and B/S mo...
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ISBN:
(纸本)9783038352679
In this paper, firstly introducing the B/S structure and the WEBGIS technology, giving a brief understanding;then discussing the oil extraction engineering data query system which based on WEBGIS technology and B/S model;and after analyzing we find that: the oil extraction engineering data query system not only takes advantage of the convenience and flexibility of the Internet which is based on WEB, but also the application of the B/S technology has greatly strengthened its transaction processing and security, thus realizing the real business related WEBGIS, achieving high data sharing and interaction, it is more reasonable in oil extraction engineering nowadays.
With increasing complexity and volume of collected data continuing to rise, it is becoming ever more important to develop systems with high interactability. Businesses with an interest in big data continue to seek sol...
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ISBN:
(纸本)9781665434416
With increasing complexity and volume of collected data continuing to rise, it is becoming ever more important to develop systems with high interactability. Businesses with an interest in big data continue to seek solutions that limit cost while providing effective, simplified solutions to current issues in data retrieval. Combined analysis and application of a multi-factorial system will likely lead to promising results in ease of reporting of complex data by nontechnical end users. This survey is focused on natural language processing (NLP) implementations for data query systems, especially related to massive data sets (1TB+) in OLTP databases, OLAP databases, and data warehouses. We are seeking the most up-to-date and effective uses of NLP for Speech-to-SQL and Text-to-SQL generation, and the most recent advancements in data warehousing to optimize ELT efficiency and data retrieval, focusing on the highest performing code implementations on the Spider and WikiSQL datasets. Many models, including sequence-to-sequence (seq2seq), sequence-to-SQL (Seq2SQL), and fuzzy semantic to SQL (F-Semtosql), among others, are briefly described and compared. As well, recent advancements in data warehousing technology like multi-disk buffering in the ELT process and hybrid multi-dimensional and relational OLAP databases (HOLAPs) are discussed. The learning gathered here is applied to fill a gap in the current industrial knowledge base in service of increased efficiency in data access, retrieval, and reporting in a customer-facing environment.
This paper presents the development process of a natural language to SQL model using the T5 model as the basis. The models, developed in August 2022 for an online transaction processing system and a data warehouse, ha...
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ISBN:
(纸本)9798350358810;9798350358803
This paper presents the development process of a natural language to SQL model using the T5 model as the basis. The models, developed in August 2022 for an online transaction processing system and a data warehouse, have a 73% and 84% exact match accuracy respectively. These models, in conjunction with other work completed in the research project, were implemented for several companies and used successfully on a daily basis. The approach used in the model development could be implemented in a similar fashion for other database environments and with a more powerful pre-trained language model.
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