Extracting semantic-based video game characters information from social media platforms

The research work disclosed in this publication is partially funded by the REACH HIGH Scholars Programme --- Post-Doctoral Grants. The grant is part-financed by the European Union, Operational Programme II --- Cohesion Policy 2014-2020 Investing in human capital to create more opportunities and promote the wellbeing of society --- European Social Fund [ESF.03.009].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.peer-reviewe

An ontology for videogame interoperability

During the last 20 years, video games have become very popular and widely adopted in our society. However, despite the growth on video game industry, there is a lack of interoperability that allow developers to interchange their information freely and to form stronger partnerships. In this paper we present the Video Game Ontology (VGO), a model for enabling interoperability among video games and enhancing data analysis of gameplay information. We describe the creation process of the ontology, the ontology conceptualization and its evaluation. In addition, we demonstrate the applicability of the Video Game Ontology in action with three example games that take advantage of the created ontology. Also, we demonstrate the use of the VGO in enabling interoperability among the example games