利用关键字提取提高工程数据平台中数据集的可发现性

2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI:10.1145/2910896.2925443

Parthasarathy Gopavarapu, Line C. Pouchard, S. Pujol

{"title":"利用关键字提取提高工程数据平台中数据集的可发现性","authors":"Parthasarathy Gopavarapu, Line C. Pouchard, S. Pujol","doi":"10.1145/2910896.2925443","DOIUrl":null,"url":null,"abstract":"In this paper we describe the use of keyword extraction in a data management platform for the storage, publication, and sharing of scientific and engineering datasets primarily related to the stress of concrete structures under earthquake conditions. To improve discoverability of datasets and assist scientists who upload data, we designed an automated keyword extraction system that will propose keywords for uploaded datasets.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"47 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Increasing datasets discoverability in an engineering data platform using keyword extraction\",\"authors\":\"Parthasarathy Gopavarapu, Line C. Pouchard, S. Pujol\",\"doi\":\"10.1145/2910896.2925443\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe the use of keyword extraction in a data management platform for the storage, publication, and sharing of scientific and engineering datasets primarily related to the stress of concrete structures under earthquake conditions. To improve discoverability of datasets and assist scientists who upload data, we designed an automated keyword extraction system that will propose keywords for uploaded datasets.\",\"PeriodicalId\":109613,\"journal\":{\"name\":\"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)\",\"volume\":\"47 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2910896.2925443\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2910896.2925443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

在本文中，我们描述了关键字提取在数据管理平台中的使用，用于存储、发布和共享主要与地震条件下混凝土结构应力相关的科学和工程数据集。为了提高数据集的可发现性并帮助上传数据的科学家，我们设计了一个自动关键字提取系统，该系统将为上传的数据集提供关键字。

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

Increasing datasets discoverability in an engineering data platform using keyword extraction

In this paper we describe the use of keyword extraction in a data management platform for the storage, publication, and sharing of scientific and engineering datasets primarily related to the stress of concrete structures under earthquake conditions. To improve discoverability of datasets and assist scientists who upload data, we designed an automated keyword extraction system that will propose keywords for uploaded datasets.

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

2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)

自引率

0.00%

发文量