Optimally storing the user interaction in mashup interfaces within a relational database

Antonio Jesús Fernández-García, Luis Iribarne, Antonio Corral, Javier Criado, James Z. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationCurrent Trends in Web Engineering - ICWE 2016 International Workshops DUI, TELERISE, SoWeMine, and Liquid Web, Revised Selected Papers
EditorsCesare Pautasso, Sven Casteleyn, Peter Dolog
PublisherSpringer Verlag
Pages188-195
Number of pages8
ISBN (Print)9783319469621
DOIs
StatePublished - Jan 1 2016
EventInternational 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 - Lugano, Switzerland
Duration: Jun 6 2016Jun 9 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9881 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational 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
CountrySwitzerland
CityLugano
Period6/6/166/9/16

Fingerprint

User Interaction
Relational Database
User Interface
User interfaces
Interaction
User Experience
Data mining
Learning systems
Data Mining
Machine Learning
Infrastructure

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Fernández-García, A. J., Iribarne, L., Corral, A., Criado, J., & Wang, J. Z. (2016). Optimally storing the user interaction in mashup interfaces within a relational database. In C. Pautasso, S. Casteleyn, & P. Dolog (Eds.), Current Trends in Web Engineering - ICWE 2016 International Workshops DUI, TELERISE, SoWeMine, and Liquid Web, Revised Selected Papers (pp. 188-195). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9881 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46963-8_18
Fernández-García, Antonio Jesús ; Iribarne, Luis ; Corral, Antonio ; Criado, Javier ; Wang, James Z. / Optimally storing the user interaction in mashup interfaces within a relational database. Current Trends in Web Engineering - ICWE 2016 International Workshops DUI, TELERISE, SoWeMine, and Liquid Web, Revised Selected Papers. editor / Cesare Pautasso ; Sven Casteleyn ; Peter Dolog. Springer Verlag, 2016. pp. 188-195 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{c241ba52d5a34906ba15de82cffc814e,
title = "Optimally storing the user interaction in mashup interfaces within a relational database",
abstract = "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.",
author = "Fern{\'a}ndez-Garc{\'i}a, {Antonio Jes{\'u}s} and Luis Iribarne and Antonio Corral and Javier Criado and Wang, {James Z.}",
year = "2016",
month = "1",
day = "1",
doi = "10.1007/978-3-319-46963-8_18",
language = "English (US)",
isbn = "9783319469621",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "188--195",
editor = "Cesare Pautasso and Sven Casteleyn and Peter Dolog",
booktitle = "Current Trends in Web Engineering - ICWE 2016 International Workshops DUI, TELERISE, SoWeMine, and Liquid Web, Revised Selected Papers",
address = "Germany",

}

Fernández-García, AJ, Iribarne, L, Corral, A, Criado, J & Wang, JZ 2016, Optimally storing the user interaction in mashup interfaces within a relational database. in C Pautasso, S Casteleyn & P Dolog (eds), Current Trends in Web Engineering - ICWE 2016 International Workshops DUI, TELERISE, SoWeMine, and Liquid Web, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9881 LNCS, Springer Verlag, pp. 188-195, 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, Lugano, Switzerland, 6/6/16. https://doi.org/10.1007/978-3-319-46963-8_18

Optimally storing the user interaction in mashup interfaces within a relational database. / Fernández-García, Antonio Jesús; Iribarne, Luis; Corral, Antonio; Criado, Javier; Wang, James Z.

Current Trends in Web Engineering - ICWE 2016 International Workshops DUI, TELERISE, SoWeMine, and Liquid Web, Revised Selected Papers. ed. / Cesare Pautasso; Sven Casteleyn; Peter Dolog. Springer Verlag, 2016. p. 188-195 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9881 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

PY - 2016/1/1

Y1 - 2016/1/1

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

ER -

Fernández-García AJ, Iribarne L, Corral A, Criado J, Wang JZ. Optimally storing the user interaction in mashup interfaces within a relational database. In Pautasso C, Casteleyn S, Dolog P, editors, Current Trends in Web Engineering - ICWE 2016 International Workshops DUI, TELERISE, SoWeMine, and Liquid Web, Revised Selected Papers. Springer Verlag. 2016. p. 188-195. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-46963-8_18