A holistic approach for semantic-based game generation

Sacco, Owen; Liapis, Antonios; Yannakakis, Georgios N.

doi:10.1109/cig.2016.7860386

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…These vast sources of game content could be reused to reduce the development time and effort to create games. Our vision is to generate novel and semantically-enriched content for games from diverse Web sources [38]. In particular, we envision a game character generator that extracts character information directly from the Web such as from wiki articles or images that are freely available, and generate new characters from already existing ones.…”

Section: Introductionmentioning

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: Introductionmentioning

confidence: 99%

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

Sacco¹,

Liapis²,

Yannakakis³

2019

MCS

Self Cite

View full text Add to dashboard Cite

show abstract

“…10 The Semantic Web has also evolved Digital Games into the concept of Semantic Digital Games whereby content is automatically generated from semantically enriched information extracted from the Web using Semantic Web technologies. In our previous work (Sacco et al 2016) we had proposed methods on how information is extracted and semantically-enriched from Web data for automatic content generation in games. We had also developed a light-weight vocabulary for describing character models (Sacco et al 2017) and also created a light-weight vocabulary for linking in-game events and entities to social data (Sacco et al 2012).…”

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confidence: 99%