TY - GEN
T1 - Optimally storing the user interaction in mashup interfaces within a relational database
AU - Fernández-García, Antonio Jesús
AU - Iribarne, Luis
AU - Corral, Antonio
AU - Criado, Javier
AU - Wang, James Z.
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - Cross-device applications that have user interfaces managed in multiple forms of interaction are prevalent. In particular, componentbased (or mashup) applications are growing in popularity due to their easiness to build customized user interfaces with pieces of information from different sources. Since the user interaction on mashup interfaces can generate a large quantity of data, which can be useful to improving the interaction and usefulness of the application, it may involve the creation of cloud infrastructures to manage the dynamic distributed user interfaces within this context. Storing the generated data from the interaction performed over the user interface can be challenging. To achieve these goals, in this paper, a relational database for storing this interaction information generated on distributed user interfaces is proposed. Thus, user interaction over heterogeneous interfaces and devices described in detail, will be easily accessible for further analysis using machine learning and data mining techniques to offer a better user experience.
AB - Cross-device applications that have user interfaces managed in multiple forms of interaction are prevalent. In particular, componentbased (or mashup) applications are growing in popularity due to their easiness to build customized user interfaces with pieces of information from different sources. Since the user interaction on mashup interfaces can generate a large quantity of data, which can be useful to improving the interaction and usefulness of the application, it may involve the creation of cloud infrastructures to manage the dynamic distributed user interfaces within this context. Storing the generated data from the interaction performed over the user interface can be challenging. To achieve these goals, in this paper, a relational database for storing this interaction information generated on distributed user interfaces is proposed. Thus, user interaction over heterogeneous interfaces and devices described in detail, will be easily accessible for further analysis using machine learning and data mining techniques to offer a better user experience.
UR - http://www.scopus.com/inward/record.url?scp=84992759001&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84992759001&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-46963-8_18
DO - 10.1007/978-3-319-46963-8_18
M3 - Conference contribution
AN - SCOPUS:84992759001
SN - 9783319469621
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 188
EP - 195
BT - Current Trends in Web Engineering - ICWE 2016 International Workshops DUI, TELERISE, SoWeMine, and Liquid Web, Revised Selected Papers
A2 - Pautasso, Cesare
A2 - Casteleyn, Sven
A2 - Dolog, Peter
PB - Springer Verlag
T2 - International Conference on Web Engineering, ICWE 2016 and 2nd International Workshop on TEchnical and LEgal aspects of data pRIvacy and SEcurity, TELERISE 2016, 2nd International Workshop on Mining the Social Web, SoWeMine 2016, 1st International Workshop on Liquid Multi-Device Software for the Web, LiquidWS 2016, 5th Workshop on Distributed User Interfaces: Distributing Interactions, DUI 2016
Y2 - 6 June 2016 through 9 June 2016
ER -