征稿已开启

查看我的稿件

注册已开启

查看我的门票

已截止
活动简介

There has been an exponential growth and availability of data, both structured and unstructured. Massive amounts of data are available to be harvested for competitive business advantage, government policies, and new insights into a broad array of applications (including healthcare, biomedicine, energy, smart cities, genomics, transportation, etc.). Yet, most of this data is inaccessible to users, as we need technology and tools to find, transform, analyze, and visualize data in order to make it consumable for decision-making. Meaningful data integration in a schema-less, and complex Big Data world of databases on the web is a big open challenge. Semantic computing is being used in the area of data integration. The Linked Open Data (LOD) community effort is an initiative that has led to a huge data space in the form of triples. Linked data is the method of connecting and publishing related structured data on the web. LOD can be used in a number of interesting and useful Web and mobile applications. The focus of this workshop is on recent advances in Semantic computing approaches for data integration and quality.

征稿信息

重要日期

2016-12-04
初稿截稿日期
2016-12-15
初稿录用日期
2016-12-30
终稿截稿日期

征稿范围

The topics of interest within context of this workshop include Semantic computing approaches for data extraction, integration, cleaning, and quality, but are not limited to:

  • Schema-based data integration

  • Schema matching

  • Traditional Extract-Transform-Load (ETL) frameworks

  • Ontology-based integration systems,

  • Graph-based algorithms for data integration

  • Real-time integration

  • Schema-less approaches such as NoSQL for data integration

  • Data quality challenges such as cleaning, record linkage, de-duplication, provenance, and auditing.

  • Application-specific integration and data quality

留言
验证码 看不清楚,更换一张
全部留言
重要日期
  • 会议日期

    01月30日

    2017

    02月01日

    2017

  • 12月04日 2016

    初稿截稿日期

  • 12月15日 2016

    初稿录用通知日期

  • 12月30日 2016

    终稿截稿日期

  • 02月01日 2017

    注册截止日期

移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询