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    @Article{OJWT_2018v5i1n05_Blazquez,
        title     = {Consuming Web Data in a Guiding App for Public Bus Users},
        author    = {Miguel \'{A}ngel Garrido Bl\'{a}zquez and
                     Paloma C\'{a}ceres and
                     Bel\'{e}n Vela and
                     Carlos E. Cuesta and
                     Jos\'{e} Mar\'{i}a Cavero Barca and
                     Almudena Sierra-Alonso},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2018},
        volume    = {5},
        number    = {1},
        pages     = {31--43},
        note      = {Special Issue: Proceedings of the International Workshop on Web Data Processing \& Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence (KI) in Berlin, Germany.},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2018093019302970779034},
        urn       = {urn:nbn:de:101:1-2018093019302970779034},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The complexity of urban public bus networks in big cities makes their use very difficult. This paper presents Notify.me, a set of pervasive services for mobility that employs open data from the public bus network in Madrid. Our solution provides both a guiding service to assist users travelling by bus and a notifying service (visual, acoustical and sensorial) that informs them when a relevant point on their route has been reached (transfer or destination). Notify.me needs a starting point, which can be the user's current location, a destination and the preferences regarding the best route for the user. Notify.me requests a route from the Madrid public bus company via SOAP Web services. The back-end responds with the calculated route, the user's route, which includes the bus lines, the transfers and the pedestrian routes needed to reach the destination. Finally, an empirical evaluation of the experiences of users who employed Notify.me is presented.}
    }