Topic
Table (database)
About: Table (database) is a research topic. Over the lifetime, 23395 publications have been published within this topic receiving 213407 citations. The topic is also known as: database table & SQL table.
Papers published on a yearly basis
Papers
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4,700 citations
01 Jan 2016
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4,085 citations
01 Jan 1979
2,983 citations
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TL;DR: The University of California Santa Cruz (UCSC) Table Browser provides text-based access to a large collection of genome assemblies and annotation data stored in the Genome Browser Database and offers an enhanced level of query support that includes restrictions based on field values, free-form SQL queries and combined queries on multiple tables.
Abstract: The University of California Santa Cruz (UCSC) Table Browser (http://genome.ucsc.edu/cgi-bin/ hgText) provides text-based access to a large collection of genome assemblies and annotation data stored in the Genome Browser Database. A flexible alternative to the graphical-based Genome Browser, this tool offers an enhanced level of query support that includes restrictions based on field values, free-form SQL queries and combined queries on multiple tables. Output can be filtered to restrict the fields and lines returned, and may be organized into one of several formats, including a simple tabdelimited file that can be loaded into a spreadsheet or database as well as advanced formats that may be uploaded into the Genome Browser as custom annotation tracks. The Table Browser User’s Guide located on the UCSC website provides instructions and detailed examples for constructing queries and configuring output.
2,223 citations
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01 Jun 2000TL;DR: This paper develops a scalable evaluation methodology and metrics for the task, and presents a thorough experimental evaluation of Snowball and comparable techniques over a collection of more than 300,000 newspaper documents.
Abstract: Text documents often contain valuable structured data that is hidden Yin regular English sentences. This data is best exploited infavailable as arelational table that we could use for answering precise queries or running data mining tasks.We explore a technique for extracting such tables from document collections that requires only a handful of training examples from users. These examples are used to generate extraction patterns, that in turn result in new tuples being extracted from the document collection.We build on this idea and present our Snowball system. Snowball introduces novel strategies for generating patterns and extracting tuples from plain-text documents.At each iteration of the extraction process, Snowball evaluates the quality of these patterns and tuples without human intervention,and keeps only the most reliable ones for the next iteration. In this paper we also develop a scalable evaluation methodology and metrics for our task, and present a thorough experimental evaluation of Snowball and comparable techniques over a collection of more than 300,000 newspaper documents.
1,399 citations