Logos:一个将查询转化为叙述的系统

Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data Pub Date : 2012-05-20 DOI:10.1145/2213836.2213929

Andreas Kokkalis, Panagiotis Vagenas, Alexandros Zervakis, A. Simitsis, G. Koutrika, Y. Ioannidis

{"title":"Logos:一个将查询转化为叙述的系统","authors":"Andreas Kokkalis, Panagiotis Vagenas, Alexandros Zervakis, A. Simitsis, G. Koutrika, Y. Ioannidis","doi":"10.1145/2213836.2213929","DOIUrl":null,"url":null,"abstract":"This paper presents Logos, a system that provides natural language translations for relational queries expressed in SQL. Our translation mechanism is based on a graph-based approach to the query translation problem. We represent various forms of structured queries as directed graphs and we annotate the graph edges with template labels using an extensible template mechanism. Logos uses different graph traversal strategies for efficiently exploring these graphs and composing textual query descriptions. The audience may interactively explore Logos using various database schemata and issuing either sample or ad hoc queries.","PeriodicalId":212616,"journal":{"name":"Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"Logos: a system for translating queries into narratives\",\"authors\":\"Andreas Kokkalis, Panagiotis Vagenas, Alexandros Zervakis, A. Simitsis, G. Koutrika, Y. Ioannidis\",\"doi\":\"10.1145/2213836.2213929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents Logos, a system that provides natural language translations for relational queries expressed in SQL. Our translation mechanism is based on a graph-based approach to the query translation problem. We represent various forms of structured queries as directed graphs and we annotate the graph edges with template labels using an extensible template mechanism. Logos uses different graph traversal strategies for efficiently exploring these graphs and composing textual query descriptions. The audience may interactively explore Logos using various database schemata and issuing either sample or ad hoc queries.\",\"PeriodicalId\":212616,\"journal\":{\"name\":\"Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2213836.2213929\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2213836.2213929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 32

摘要

本文介绍了Logos，一个为用SQL表达的关系查询提供自然语言翻译的系统。我们的翻译机制基于基于图的方法来解决查询翻译问题。我们将各种形式的结构化查询表示为有向图，并使用可扩展的模板机制用模板标签标注图的边缘。Logos使用不同的图遍历策略来有效地探索这些图并组成文本查询描述。观众可以使用各种数据库模式交互式地探索Logos，并发出样例查询或特别查询。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Logos: a system for translating queries into narratives

This paper presents Logos, a system that provides natural language translations for relational queries expressed in SQL. Our translation mechanism is based on a graph-based approach to the query translation problem. We represent various forms of structured queries as directed graphs and we annotate the graph edges with template labels using an extensible template mechanism. Logos uses different graph traversal strategies for efficiently exploring these graphs and composing textual query descriptions. The audience may interactively explore Logos using various database schemata and issuing either sample or ad hoc queries.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data

自引率

0.00%

发文量