The RAGE software asset model and metadata model

A. Georgiev; A. Grigorov; B. Bontchev; P. Boytchev; K. Stefanov; K. Bahreini; E. Nyamsuren; W. Van Der Vegt; W. Westera; R. Prada; Paul Hollins; Pablo Moreno

doi:10.1007/978-3-319-45841-0_18

The RAGE software asset model and metadata model

A. Georgiev
, A. Grigorov
, B. Bontchev
, P. Boytchev
, K. Stefanov
, K. Bahreini
, E. Nyamsuren
, W. Van Der Vegt
, W. Westera
, R. Prada
, Paul Hollins
, Pablo Moreno

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Abstract

Software assets are key output of the RAGE project and they can be used by applied game developers to enhance the pedagogical and educational value of their games. These software assets cover a broad spectrum of functionalities–from player analytics including emotion detection to intelligent adaptation and social gamification. In order to facilitate integration and interoperability, all of these assets adhere to a common model, which describes their properties through a set of metadata. In this paper the RAGE asset model and asset metadata model is presented, capturing the detail of assets and their potential usage within three distinct dimensions–technological, gaming and pedagogical. The paper highlights key issues and challenges in constructing the RAGE asset and asset metadata model and details the process and design of a flexible metadata editor that facilitates both adaptation and improvement of the asset metadata model.

Original language	English
Title of host publication	Serious Games - 2nd Joint International Conference, JCSG 2016, Proceedings
Editors	Manuel Fradinho Oliveira, Minhua Ma, Stefan Göbel, Tim Marsh, Jannicke Baalsrud Hauge
Publisher	Springer Verlag
Pages	191-203
Number of pages	13
ISBN (Print)	9783319458403
DOIs	https://doi.org/10.1007/978-3-319-45841-0_18
Publication status	Published - 2016
Externally published	Yes
Event	2nd International Joint Conference on Serious Games, JCSG 2016 - Brisbane, Australia Duration: 26 Sep 2016 → 27 Sep 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9894 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Joint Conference on Serious Games, JCSG 2016
Country/Territory	Australia
City	Brisbane
Period	26/09/16 → 27/09/16

Keywords

Asset metadata model
Asset model
Game assets
Gamification
Metadata editor
Serious games
Software assets

Access to Document

10.1007/978-3-319-45841-0_18

Cite this

Georgiev, A., Grigorov, A., Bontchev, B., Boytchev, P., Stefanov, K., Bahreini, K., Nyamsuren, E., Van Der Vegt, W., Westera, W., Prada, R., Hollins, P., & Moreno, P. (2016). The RAGE software asset model and metadata model. In M. F. Oliveira, M. Ma, S. Göbel, T. Marsh, & J. B. Hauge (Eds.), Serious Games - 2nd Joint International Conference, JCSG 2016, Proceedings (pp. 191-203). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9894 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-45841-0_18

Georgiev, A. ; Grigorov, A. ; Bontchev, B. et al. / The RAGE software asset model and metadata model. Serious Games - 2nd Joint International Conference, JCSG 2016, Proceedings. editor / Manuel Fradinho Oliveira ; Minhua Ma ; Stefan Göbel ; Tim Marsh ; Jannicke Baalsrud Hauge. Springer Verlag, 2016. pp. 191-203 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inbook{b379fb9dda4c43ae842b9b07853aaab5,

title = "The RAGE software asset model and metadata model",

abstract = "Software assets are key output of the RAGE project and they can be used by applied game developers to enhance the pedagogical and educational value of their games. These software assets cover a broad spectrum of functionalities–from player analytics including emotion detection to intelligent adaptation and social gamification. In order to facilitate integration and interoperability, all of these assets adhere to a common model, which describes their properties through a set of metadata. In this paper the RAGE asset model and asset metadata model is presented, capturing the detail of assets and their potential usage within three distinct dimensions–technological, gaming and pedagogical. The paper highlights key issues and challenges in constructing the RAGE asset and asset metadata model and details the process and design of a flexible metadata editor that facilitates both adaptation and improvement of the asset metadata model.",

keywords = "Asset metadata model, Asset model, Game assets, Gamification, Metadata editor, Serious games, Software assets",

author = "A. Georgiev and A. Grigorov and B. Bontchev and P. Boytchev and K. Stefanov and K. Bahreini and E. Nyamsuren and \{Van Der Vegt\}, W. and W. Westera and R. Prada and Paul Hollins and Pablo Moreno",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 2nd International Joint Conference on Serious Games, JCSG 2016 ; Conference date: 26-09-2016 Through 27-09-2016",

year = "2016",

doi = "10.1007/978-3-319-45841-0\_18",

language = "English",

isbn = "9783319458403",

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

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pages = "191--203",

editor = "Oliveira, \{Manuel Fradinho\} and Minhua Ma and Stefan G{\"o}bel and Tim Marsh and Hauge, \{Jannicke Baalsrud\}",

booktitle = "Serious Games - 2nd Joint International Conference, JCSG 2016, Proceedings",

address = "Germany",

}

Georgiev, A, Grigorov, A, Bontchev, B, Boytchev, P, Stefanov, K, Bahreini, K, Nyamsuren, E, Van Der Vegt, W, Westera, W, Prada, R, Hollins, P & Moreno, P 2016, The RAGE software asset model and metadata model. in MF Oliveira, M Ma, S Göbel, T Marsh & JB Hauge (eds), Serious Games - 2nd Joint International Conference, JCSG 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9894 LNCS, Springer Verlag, pp. 191-203, 2nd International Joint Conference on Serious Games, JCSG 2016, Brisbane, Australia, 26/09/16. https://doi.org/10.1007/978-3-319-45841-0_18

The RAGE software asset model and metadata model. / Georgiev, A.; Grigorov, A.; Bontchev, B. et al.
Serious Games - 2nd Joint International Conference, JCSG 2016, Proceedings. ed. / Manuel Fradinho Oliveira; Minhua Ma; Stefan Göbel; Tim Marsh; Jannicke Baalsrud Hauge. Springer Verlag, 2016. p. 191-203 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9894 LNCS).

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

TY - CHAP

T1 - The RAGE software asset model and metadata model

AU - Georgiev, A.

AU - Grigorov, A.

AU - Bontchev, B.

AU - Boytchev, P.

AU - Stefanov, K.

AU - Bahreini, K.

AU - Nyamsuren, E.

AU - Van Der Vegt, W.

AU - Westera, W.

AU - Prada, R.

AU - Hollins, Paul

AU - Moreno, Pablo

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - Software assets are key output of the RAGE project and they can be used by applied game developers to enhance the pedagogical and educational value of their games. These software assets cover a broad spectrum of functionalities–from player analytics including emotion detection to intelligent adaptation and social gamification. In order to facilitate integration and interoperability, all of these assets adhere to a common model, which describes their properties through a set of metadata. In this paper the RAGE asset model and asset metadata model is presented, capturing the detail of assets and their potential usage within three distinct dimensions–technological, gaming and pedagogical. The paper highlights key issues and challenges in constructing the RAGE asset and asset metadata model and details the process and design of a flexible metadata editor that facilitates both adaptation and improvement of the asset metadata model.

AB - Software assets are key output of the RAGE project and they can be used by applied game developers to enhance the pedagogical and educational value of their games. These software assets cover a broad spectrum of functionalities–from player analytics including emotion detection to intelligent adaptation and social gamification. In order to facilitate integration and interoperability, all of these assets adhere to a common model, which describes their properties through a set of metadata. In this paper the RAGE asset model and asset metadata model is presented, capturing the detail of assets and their potential usage within three distinct dimensions–technological, gaming and pedagogical. The paper highlights key issues and challenges in constructing the RAGE asset and asset metadata model and details the process and design of a flexible metadata editor that facilitates both adaptation and improvement of the asset metadata model.

KW - Asset metadata model

KW - Asset model

KW - Game assets

KW - Gamification

KW - Metadata editor

KW - Serious games

KW - Software assets

UR - https://www.scopus.com/pages/publications/84988667037

U2 - 10.1007/978-3-319-45841-0_18

DO - 10.1007/978-3-319-45841-0_18

M3 - Chapter

AN - SCOPUS:84988667037

SN - 9783319458403

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

SP - 191

EP - 203

BT - Serious Games - 2nd Joint International Conference, JCSG 2016, Proceedings

A2 - Oliveira, Manuel Fradinho

A2 - Ma, Minhua

A2 - Göbel, Stefan

A2 - Marsh, Tim

A2 - Hauge, Jannicke Baalsrud

PB - Springer Verlag

T2 - 2nd International Joint Conference on Serious Games, JCSG 2016

Y2 - 26 September 2016 through 27 September 2016

ER -

Georgiev A, Grigorov A, Bontchev B, Boytchev P, Stefanov K, Bahreini K et al. The RAGE software asset model and metadata model. In Oliveira MF, Ma M, Göbel S, Marsh T, Hauge JB, editors, Serious Games - 2nd Joint International Conference, JCSG 2016, Proceedings. Springer Verlag. 2016. p. 191-203. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-45841-0_18

The RAGE software asset model and metadata model

Abstract

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Keywords

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