The RAGE Software Asset Model and Metadata Model

Atanas Georgiev; Alexander Grigorov; Boyan Bontchev; Pavel Boytchev; Krassen Stefanov; K. Bahreini; E. Nyamsuren; G.W. van der Vegt; W. Westera; Rui Prada; Paul Hollins; Pedro Manuel Moreno-Marcos

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

The RAGE Software Asset Model and Metadata Model

Atanas Georgiev, Alexander Grigorov, Boyan Bontchev, Pavel Boytchev, Krassen Stefanov^*, K. Bahreini, E. Nyamsuren, G.W. van der Vegt, W. Westera, Rui Prada, Paul Hollins, Pedro Manuel Moreno-Marcos

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › 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 JCSG 2016
Editors	Tim Marsh , Minhua Ma, Manuel Fradinho Oliveira, Jannicke Baalsrud Hauge, Stefan Göbel
Publisher	Springer
Pages	191-203
Number of pages	13
ISBN (Electronic)	978-3-319-45841-0
ISBN (Print)	978-3-319-45840-3
DOIs	https://doi.org/10.1007/978-3-319-45841-0_18
Publication status	Published - 17 Oct 2016
Event	Joint International Conference on Serious Games: JCSG 2016: Serious Games - Brisbane, Australia Duration: 26 Sept 2016 → 27 Sept 2016 https://link.springer.com/book/10.1007/978-3-319-45841-0

Publication series

Series	Lecture Notes in Computer Science
Volume	9894

Conference

Conference	Joint International Conference on Serious Games
Abbreviated title	JCSG 2016
Country/Territory	Australia
City	Brisbane
Period	26/09/16 → 27/09/16
Internet address	https://link.springer.com/book/10.1007/978-3-319-45841-0

Keywords

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

Access to Document

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

Rage: Realising an Applied Gaming Eco-system
Westera, W. (PI), Georgiadis, K. (CoI), Saveski, G. (CoI), van Lankveld, G. (CoI), Bahreini, K. (CoI), van der Vegt, W. (CoI), Berkhout, J. (CoI), Nyamsuren, E. (CoI), Kluijfhout, E. (CoI) & Nadolski, R. (CoI)
European Union
1/02/15 → 31/07/19
Project: Research

Cite this

Georgiev, A., Grigorov, A., Bontchev, B., Boytchev, P., Stefanov, K., Bahreini, K., Nyamsuren, E., van der Vegt, G. W., Westera, W., Prada, R., Hollins, P., & Moreno-Marcos, P. M. (2016). The RAGE Software Asset Model and Metadata Model. In T. M., Minhua Ma, Manuel Fradinho Oliveira, Jannicke Baalsrud Hauge, & Stefan Göbel (Eds.), Serious Games JCSG 2016 (pp. 191-203). Springer. https://doi.org/10.1007/978-3-319-45841-0_18

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

author = "Atanas Georgiev and Alexander Grigorov and Boyan Bontchev and Pavel Boytchev and Krassen Stefanov and K. Bahreini and E. Nyamsuren and {van der Vegt}, G.W. and W. Westera and Rui Prada and Paul Hollins and Moreno-Marcos, {Pedro Manuel}",

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

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note = "Joint International Conference on Serious Games : JCSG 2016: Serious Games , JCSG 2016 ; Conference date: 26-09-2016 Through 27-09-2016",

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Georgiev, A, Grigorov, A, Bontchev, B, Boytchev, P, Stefanov, K, Bahreini, K, Nyamsuren, E, van der Vegt, GW, Westera, W, Prada, R, Hollins, P & Moreno-Marcos, PM 2016, The RAGE Software Asset Model and Metadata Model. in TM, Minhua Ma, Manuel Fradinho Oliveira, Jannicke Baalsrud Hauge & Stefan Göbel (eds), Serious Games JCSG 2016. Springer, Lecture Notes in Computer Science, vol. 9894, pp. 191-203, Joint International Conference on Serious Games, 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, Atanas; Grigorov, Alexander; Bontchev, Boyan et al.
Serious Games JCSG 2016. ed. / Tim Marsh; Minhua Ma; Manuel Fradinho Oliveira; Jannicke Baalsrud Hauge; Stefan Göbel. Springer, 2016. p. 191-203 (Lecture Notes in Computer Science, Vol. 9894).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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AU - Stefanov, Krassen

AU - Bahreini, K.

AU - Nyamsuren, E.

AU - van der Vegt, G.W.

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AU - Prada, Rui

AU - Hollins, Paul

AU - Moreno-Marcos, Pedro Manuel

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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.

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KW - Software assets

KW - Game assets

KW - Asset model

KW - Asset metadata model

KW - Metadata editor

KW - Gamification

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BT - Serious Games JCSG 2016

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A2 - Manuel Fradinho Oliveira,

A2 - Jannicke Baalsrud Hauge,

A2 - Stefan Göbel,

PB - Springer

T2 - Joint International Conference on Serious Games

Y2 - 26 September 2016 through 27 September 2016

ER -

The RAGE Software Asset Model and Metadata Model

Abstract

Publication series

Conference

Keywords

Access to Document

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Projects

Rage: Realising an Applied Gaming Eco-system

Cite this