https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Ahlers_et_al_2018aAhlers et al 2018a - Revision history2026-05-01T06:38:32ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Ahlers_et_al_2018a&diff=197473&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 611596443 to Ahlers et al 2018a2021-02-01T19:56:51Z<p>Scipediacontent moved page <a href="/public/Draft_Content_611596443" class="mw-redirect" title="Draft Content 611596443">Draft Content 611596443</a> to <a href="/public/Ahlers_et_al_2018a" title="Ahlers et al 2018a">Ahlers et al 2018a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Ahlers_et_al_2018a&diff=197472&oldid=prevScipediacontent: Created page with " == Abstract == Smart cities attempt to use big data, machine learning, and other topical information and communication techniques (ICTs) to improve energy-consumption, mobil..."2021-02-01T19:56:46Z<p>Created page with " == Abstract == Smart cities attempt to use big data, machine learning, and other topical information and communication techniques (ICTs) to improve energy-consumption, mobil..."</p>
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== Abstract ==<br />
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Smart cities attempt to use big data, machine learning, and other topical information and communication techniques (ICTs) to improve energy-consumption, mobility, waste management, and other crucial city functions. Many international research projects have been reported but, so far, few of them have addressed mobility in Norwegian cities specifically. This paper reports on a pre-study that focusses on mobility-related data sources in the Bergen region and discusses the needs and opportunities they present. We have identified central actors and the data they own, discussed opportunities and challenges with central stakeholders, developed a taxonomy of data types, and reviewed available ontologies for data integration. We are currently exploring a big-data architecture for harvesting, integrating, and making open mobility data more ready for use through a single-entry point. Paper presented at NOKOBIT 2018. Published by Bibsys Open Journal Systems.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://dx.doi.org/10.5281/zenodo.2678176 http://dx.doi.org/10.5281/zenodo.2678176] under the license https://creativecommons.org/licenses/by/4.0/legalcode<br />
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* [http://hdl.handle.net/11250/2579413 http://hdl.handle.net/11250/2579413]<br />
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* [https://zenodo.org/record/2678176 https://zenodo.org/record/2678176]<br />
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* [https://zenodo.org/record/2678176 https://zenodo.org/record/2678176],<br />
: [http://dx.doi.org/10.5281/zenodo.2678175 http://dx.doi.org/10.5281/zenodo.2678175]<br />
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DOIS: 10.5281/zenodo.2678175 10.5281/zenodo.2678176</div>Scipediacontent