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Linked data: based urban traffic data association model and service system

Published: 18 May 2018 Publication History

Abstract

With the development of the city, the data amount is more and more large, the data source is more and more complex, the dimension of the data is getting bigger and bigger, how to find the potential value of these data and how to describe the multi-source data in a comprehensive way becomes a hot research point. The challenges of storing data separately and disparate understanding of different systems prevent integration. In order to overcome these problems, aiming at the data of these different sources, this paper adopts a data-as-a-service framework and is a service based on related data. This framework can integrate data from different sources and provide. Data services in a transparent manner. Consumers use data services without having to know the details. Our framework is transparent. Transparent integration of data resources, transparent data fusion and transparent data services. The data model pool and data resource pool can evolve because new data models and data sets are generated as data services are provided.

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  1. Linked data: based urban traffic data association model and service system

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    cover image ACM Other conferences
    ICBDT '18: Proceedings of the 1st International Conference on Big Data Technologies
    May 2018
    144 pages
    ISBN:9781450364270
    DOI:10.1145/3226116
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 18 May 2018

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    Author Tags

    1. data association
    2. data service
    3. linked data

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