An ontology for videogame interoperability

Parkkila, Janne; Radulović, Filip; Garijo, Daniel; Poveda‐Villalón, María; Ikonen, Jouni; Porras, Jari; Gómez-Pérez, Asuncíon

doi:10.1007/s11042-016-3552-6

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…The authors in [23] provide a generic ontology for defining RPG games and do not provide detailed concepts to describe game characters for other genre types. Finally, the Video Game Ontology (VGO) [33] provides concepts for defining interoperability amongst video games and the Game2Web ontology [37] focuses on linking game events and entities to social data. Although these vocabularies are useful for describing several aspects of game information, the ontologies are still limited to specific features and hence do not provide features for describing detailed game character information.…”

Section: Related Workmentioning

confidence: 99%

Extracting Semantic-Based Video Game Characters Information from Social Media Platforms

Sacco¹,

Liapis²,

Yannakakis³

2019

MCS

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Character generation in video games currently relies on game developers manually creating game characters which costs in time, effort and resources. Social media, in the form of blogs, microblogs, forums, wikis, social networks and review sites contain rich information about characters in video games that are not exploited for character generation. However, such information contained in various social media applications are disconnected from one another and are not structured or enriched that can be utilised for character generation. Semantic Web techniques provide ways of linking and enriching information contained in disconnected datasets. This enriched information can be used to build complete character models for generating new characters in video games. Moreover, a video game character knowledge graph can be constructed out of the semantically-enriched information that can be used not only for character generation in video games, but also in any application that requires information about video game characters. In this paper, we present our approach for exploiting social media platforms to create semantically-enriched character models. In particular, we present our Game Character Ontology (GCO) -a light-weight vocabulary for describing character information in video games -and our methodology for extracting and describing (using our ontology) game character information from social media platforms.

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Section: Related Workmentioning

confidence: 99%

Extracting Semantic-Based Video Game Characters Information from Social Media Platforms

Sacco¹,

Liapis²,

Yannakakis³

2019

MCS

View full text Add to dashboard Cite

show abstract

“…However, the vocabulary is not available and in this regard, it is unclear what game concepts this vocabulary provides. Finally, the Video Game Ontology [31] provides concepts for defining interoperability amongst video games and the Game2Web ontology [33] focuses on linking game events and entities to social data. Although these vocabularies are useful for describing several aspects of game information the ontologies are still limited to specific features of particular facets of game generation.…”

Section: Procedural Content Generation and Semanticsmentioning

confidence: 99%

A holistic approach for semantic-based game generation

Sacco

Liapis

Yannakakis

2016

2016 IEEE Conference on Computational Intelligence and Games (CIG)

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Abstract-The Web contains vast sources of content that could be reused to reduce the development time and effort to create games. However, most Web content is unstructured and lacks meaning for machines to be able to process and infer new knowledge. The Web of Data is a term used to describe a trend for publishing and interlinking previously disconnected datasets on the Web in order to make them more valuable and useful as a whole. In this paper, we describe an innovative approach that exploits Semantic Web technologies to automatically generate games by reusing Web content. Existing work on automatic game content generation through algorithmic means focuses primarily on a set of parameters within constrained game design spaces such as terrains or game levels, but does not harness the potential of already existing content on the Web for game generation. We instead propose a holistic and more generally-applicable game generation solution that would identify suitable Web information sources and enrich game content with semantic meta-structures.

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“…By 2022, the market had grown to USD 197 billion [9]. The overall growth of the digital game industry partially depends on the increasing diversity of its user base and on the introduction of casual games [10], suitable for any user who is not necessarily a habitual digital game consumer (i.e., "gamer"). The ratio of male to female users has become more balanced [8], and user categories have expanded to include children, educators, corporate professionals, individuals in therapy, and those with various types of disabilities.…”

Section: Introductionmentioning

confidence: 99%

A unified framework to catalogue and classify digital games based on interaction design and validation through clustering techniques

Cormio,

Agostinelli,

Mengoni

2024

Multimed Tools Appl

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The digital games industry has grown exponentially due to the diversification of games and the increasing multiplicity of the user target base. The market explosion and the great variety make digital game cataloguing and classification challenging issues whose effectiveness can advance scientific research and address design, development and distribution. Firstly, the present study reviews previous cataloguing for video and serious games through systematic literature review and, joining together the findings from the literature review, develops a unified cataloguing model based on five definitions. This model can aid designers in tailoring their applications and contribute to disseminating game design knowledge in academic research. Then, a matrix that correlates design principles and the cataloguing model’s metadata is applied to the cataloguing model, obtaining a unified classification system. Together, they offer a comprehensive framework for understanding the multifaceted landscape of digital games, addressing the limitations of existing domain-specific approaches and providing a versatile tool for game designers. Research validation exploits a two-stage cluster analysis using agglomerative hierarchical and k-means clustering on the data extracted from a sample of digital games. The results show the framework's effectiveness in categorizing digital games without a clear-cut distinction between video and serious games. The system's application in real-world scenarios suggests its potential to guide game development. Future work will refine the proposal based on feedback from digital game designers, expanding the research scope to include a broader range of games.

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An ontology for videogame interoperability

Cited by 11 publications

References 9 publications

Extracting Semantic-Based Video Game Characters Information from Social Media Platforms

Extracting Semantic-Based Video Game Characters Information from Social Media Platforms

A holistic approach for semantic-based game generation

A unified framework to catalogue and classify digital games based on interaction design and validation through clustering techniques

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