Evolving mashup interfaces using a distributed machine learning and model transformation methodology

Antonio Jesus Fernandez-Garcia; Luis Iribarne; Antonio Corral; James Z. Wang

doi:10.1007/978-3-319-26138-6_43

Evolving mashup interfaces using a distributed machine learning and model transformation methodology

Antonio Jesus Fernandez-Garcia, Luis Iribarne, Antonio Corral, James Z. Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Nowadays users access information services at any time and in any place. Providing an intelligent user interface which adapts dynamically to the users’ requirements is essential in information systems. Conventionally, systems are constructed at the design time according to an initial structure and requirements. The effect of the passage of time and changes in users, applications and environment is that the systems cannot always satisfy the user’s requirements. In this paper a methodology is proposed to allow mashup user interfaces to be intelligent and evolve over time by using computational techniques like machine learning over huge amounts of heterogeneous data, known as big data, and modeldriven engineering techniques as model transformations. The aim is to generate new ways of adapting the interface to the user’s needs, using information about user’s interaction and the environment.

Original language	English (US)
Title of host publication	On the Move to Meaningful Internet Systems
Subtitle of host publication	OTM 2015 Workshops - Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, EI2N, FBM, INBAST, ISDE, META4eS, and MSC 2015, Proceedings
Editors	Peter Bollen, Christophe Debruyne, Ioana Ciuciu, Anna Fensel, Fernando Ferri, Herve Panetto, Alexis Aubry, Christophe Debruyne, Ioana Ciuciu, Alok Mishra, Anna Fensel, Herve Panetto, Alexis Aubry, Peter Bollen, Rafael Valencia-Garcia, Rafael Valencia-Garcia, Alok Mishra, Fernando Ferri
Publisher	Springer Verlag
Pages	401-410
Number of pages	10
ISBN (Print)	9783319261379, 9783319261379
DOIs	https://doi.org/10.1007/978-3-319-26138-6_43
State	Published - 2015
Event	International Workshops on the Move to Meaningful Internet Systems, OTM 2015 - Rhodes, Greece Duration: Oct 26 2015 → Oct 30 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9416
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	International Workshops on the Move to Meaningful Internet Systems, OTM 2015
Country/Territory	Greece
City	Rhodes
Period	10/26/15 → 10/30/15

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-26138-6_43

Cite this

Fernandez-Garcia, A. J., Iribarne, L., Corral, A., & Wang, J. Z. (2015). Evolving mashup interfaces using a distributed machine learning and model transformation methodology. In P. Bollen, C. Debruyne, I. Ciuciu, A. Fensel, F. Ferri, H. Panetto, A. Aubry, C. Debruyne, I. Ciuciu, A. Mishra, A. Fensel, H. Panetto, A. Aubry, P. Bollen, R. Valencia-Garcia, R. Valencia-Garcia, A. Mishra, & F. Ferri (Eds.), On the Move to Meaningful Internet Systems: OTM 2015 Workshops - Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, EI2N, FBM, INBAST, ISDE, META4eS, and MSC 2015, Proceedings (pp. 401-410). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9416). Springer Verlag. https://doi.org/10.1007/978-3-319-26138-6_43

Fernandez-Garcia, Antonio Jesus ; Iribarne, Luis ; Corral, Antonio et al. / Evolving mashup interfaces using a distributed machine learning and model transformation methodology. On the Move to Meaningful Internet Systems: OTM 2015 Workshops - Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, EI2N, FBM, INBAST, ISDE, META4eS, and MSC 2015, Proceedings. editor / Peter Bollen ; Christophe Debruyne ; Ioana Ciuciu ; Anna Fensel ; Fernando Ferri ; Herve Panetto ; Alexis Aubry ; Christophe Debruyne ; Ioana Ciuciu ; Alok Mishra ; Anna Fensel ; Herve Panetto ; Alexis Aubry ; Peter Bollen ; Rafael Valencia-Garcia ; Rafael Valencia-Garcia ; Alok Mishra ; Fernando Ferri. Springer Verlag, 2015. pp. 401-410 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Evolving mashup interfaces using a distributed machine learning and model transformation methodology",

abstract = "Nowadays users access information services at any time and in any place. Providing an intelligent user interface which adapts dynamically to the users{\textquoteright} requirements is essential in information systems. Conventionally, systems are constructed at the design time according to an initial structure and requirements. The effect of the passage of time and changes in users, applications and environment is that the systems cannot always satisfy the user{\textquoteright}s requirements. In this paper a methodology is proposed to allow mashup user interfaces to be intelligent and evolve over time by using computational techniques like machine learning over huge amounts of heterogeneous data, known as big data, and modeldriven engineering techniques as model transformations. The aim is to generate new ways of adapting the interface to the user{\textquoteright}s needs, using information about user{\textquoteright}s interaction and the environment.",

author = "Fernandez-Garcia, {Antonio Jesus} and Luis Iribarne and Antonio Corral and Wang, {James Z.}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; International Workshops on the Move to Meaningful Internet Systems, OTM 2015 ; Conference date: 26-10-2015 Through 30-10-2015",

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isbn = "9783319261379",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Peter Bollen and Christophe Debruyne and Ioana Ciuciu and Anna Fensel and Fernando Ferri and Herve Panetto and Alexis Aubry and Christophe Debruyne and Ioana Ciuciu and Alok Mishra and Anna Fensel and Herve Panetto and Alexis Aubry and Peter Bollen and Rafael Valencia-Garcia and Rafael Valencia-Garcia and Alok Mishra and Fernando Ferri",

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Fernandez-Garcia, AJ, Iribarne, L, Corral, A & Wang, JZ 2015, Evolving mashup interfaces using a distributed machine learning and model transformation methodology. in P Bollen, C Debruyne, I Ciuciu, A Fensel, F Ferri, H Panetto, A Aubry, C Debruyne, I Ciuciu, A Mishra, A Fensel, H Panetto, A Aubry, P Bollen, R Valencia-Garcia, R Valencia-Garcia, A Mishra & F Ferri (eds), On the Move to Meaningful Internet Systems: OTM 2015 Workshops - Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, EI2N, FBM, INBAST, ISDE, META4eS, and MSC 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9416, Springer Verlag, pp. 401-410, International Workshops on the Move to Meaningful Internet Systems, OTM 2015, Rhodes, Greece, 10/26/15. https://doi.org/10.1007/978-3-319-26138-6_43

Evolving mashup interfaces using a distributed machine learning and model transformation methodology. / Fernandez-Garcia, Antonio Jesus; Iribarne, Luis; Corral, Antonio et al.
On the Move to Meaningful Internet Systems: OTM 2015 Workshops - Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, EI2N, FBM, INBAST, ISDE, META4eS, and MSC 2015, Proceedings. ed. / Peter Bollen; Christophe Debruyne; Ioana Ciuciu; Anna Fensel; Fernando Ferri; Herve Panetto; Alexis Aubry; Christophe Debruyne; Ioana Ciuciu; Alok Mishra; Anna Fensel; Herve Panetto; Alexis Aubry; Peter Bollen; Rafael Valencia-Garcia; Rafael Valencia-Garcia; Alok Mishra; Fernando Ferri. Springer Verlag, 2015. p. 401-410 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9416).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Evolving mashup interfaces using a distributed machine learning and model transformation methodology

AU - Fernandez-Garcia, Antonio Jesus

AU - Iribarne, Luis

AU - Corral, Antonio

AU - Wang, James Z.

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AB - Nowadays users access information services at any time and in any place. Providing an intelligent user interface which adapts dynamically to the users’ requirements is essential in information systems. Conventionally, systems are constructed at the design time according to an initial structure and requirements. The effect of the passage of time and changes in users, applications and environment is that the systems cannot always satisfy the user’s requirements. In this paper a methodology is proposed to allow mashup user interfaces to be intelligent and evolve over time by using computational techniques like machine learning over huge amounts of heterogeneous data, known as big data, and modeldriven engineering techniques as model transformations. The aim is to generate new ways of adapting the interface to the user’s needs, using information about user’s interaction and the environment.

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SN - 9783319261379

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Fernandez-Garcia AJ, Iribarne L, Corral A, Wang JZ. Evolving mashup interfaces using a distributed machine learning and model transformation methodology. In Bollen P, Debruyne C, Ciuciu I, Fensel A, Ferri F, Panetto H, Aubry A, Debruyne C, Ciuciu I, Mishra A, Fensel A, Panetto H, Aubry A, Bollen P, Valencia-Garcia R, Valencia-Garcia R, Mishra A, Ferri F, editors, On the Move to Meaningful Internet Systems: OTM 2015 Workshops - Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, EI2N, FBM, INBAST, ISDE, META4eS, and MSC 2015, Proceedings. Springer Verlag. 2015. p. 401-410. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-26138-6_43

Evolving mashup interfaces using a distributed machine learning and model transformation methodology

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