DEMO: REMI, reusable elements for multi-level information availability

Avigdor Gal, Nicolo Rivetti, Arik Senderovich, Dimitrios Gunopulos, Ioannis Katakis, Nikolaos Panagiotou, Vana Kalogeraki

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

    Abstract

    Applications targeting Smart Cities tackle common challenges, however solutions are seldom portable from one city to another due to the heterogeneity of city ecosystems. A major obstacle involves the differences in the levels of available information. In this demonstration we present REMI, a reusable elements framework to handle varying degrees of information availability by design from two complementary angles, namely graceful degradation (GRADE) and data enrichment (DARE). In a nutshell, we develop reusable machine learning black boxes for mining and aggregating streaming data, either to infer missing data from available data, or to adapt expected accuracy based on data availability. We illustrate the proposed approach using tram data from the city of Warsaw.

    Original languageEnglish
    Title of host publicationDEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems
    PublisherAssociation for Computing Machinery, Inc
    Pages323-326
    Number of pages4
    ISBN (Electronic)9781450350655
    DOIs
    Publication statusPublished - 8 Jun 2017
    Event11th ACM International Conference on Distributed Event-Based Systems, DEBS 2017 - Barcelona, Spain
    Duration: 19 Jun 201723 Jun 2017

    Conference

    Conference11th ACM International Conference on Distributed Event-Based Systems, DEBS 2017
    Country/TerritorySpain
    CityBarcelona
    Period19/06/1723/06/17

    Keywords

    • Data enrichment
    • Graceful degradation
    • Information availability

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