A Semantic Approach to Enterprise Information Integration

Artem Katasonov, Ali Lattunen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    3 Citations (Scopus)


    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.
    Original languageEnglish
    Title of host publication2014 IEEE International Conference on Semantic Computing (ICSC 2014)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-4799-4003-5
    ISBN (Print)978-1-4799-4002-8
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventEighth IEEE International Conference on Semantic Computin, ICSC 2014 - Newport Beach, California, United States
    Duration: 16 Jun 201418 Jun 2014


    ConferenceEighth IEEE International Conference on Semantic Computin, ICSC 2014
    Abbreviated titleICSC 2014
    Country/TerritoryUnited States
    CityNewport Beach, California


    • semantic web
    • enterprise information integration
    • data federation
    • interoperability
    • internet of things


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