{"title":"A Semantic Approach to Enterprise Information Integration","authors":"A. Katasonov, A. Lattunen","doi":"10.1109/ICSC.2014.23","DOIUrl":null,"url":null,"abstract":"The emerging Internet of Things technologies enable enterprises to collect a variety of real-time data from the physical world, making a case for accessing, combining, interpreting, and distributing such data in real-time too. Enterprise Information Integration (EII) aims at providing tools for integrating data from multiple sources without having to first load all the data into a central warehouse, and, in so, for accessing live data. In this paper, we introduce a practical semantic EII solution, which, in addition to addressing the data virtualization and federation problems of EII, also provides data abstraction and data pipeline capabilities. This solution has been implemented as a software platform as well as applied in an operational enterprise system in the parking domain.","PeriodicalId":175352,"journal":{"name":"2014 IEEE International Conference on Semantic Computing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Semantic Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSC.2014.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The emerging Internet of Things technologies enable enterprises to collect a variety of real-time data from the physical world, making a case for accessing, combining, interpreting, and distributing such data in real-time too. Enterprise Information Integration (EII) aims at providing tools for integrating data from multiple sources without having to first load all the data into a central warehouse, and, in so, for accessing live data. In this paper, we introduce a practical semantic EII solution, which, in addition to addressing the data virtualization and federation problems of EII, also provides data abstraction and data pipeline capabilities. This solution has been implemented as a software platform as well as applied in an operational enterprise system in the parking domain.
新兴的物联网技术使企业能够从物理世界中收集各种实时数据，并为实时访问、组合、解释和分发这些数据提供了理由。企业信息集成(Enterprise Information Integration, EII)旨在提供工具，用于集成来自多个数据源的数据，而无需首先将所有数据加载到中央仓库中，从而访问实时数据。在本文中，我们介绍了一个实用的语义EII解决方案，该解决方案除了解决EII的数据虚拟化和联邦问题外，还提供了数据抽象和数据管道功能。该解决方案已作为软件平台实现，并应用于停车场领域的运营企业系统中。
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
