Proceedings of the 13th International Conference on Semantic Systems 2017
DOI: 10.1145/3132218.3132233
|View full text |Cite
|
Sign up to set email alerts
|

Game Character Ontology (GCO) A Vocabulary for Extracting and Describing Game Character Information from Web Content

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…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). Moreover, similar work in Green et al (2019) and Barros et al (2018) demonstrate how to create mystery adventure games from open data, mainly from DBpedia 9 datasets which contain semantically enriched content extracted from Wikipedia 10 .…”
mentioning
confidence: 99%
“…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). Moreover, similar work in Green et al (2019) and Barros et al (2018) demonstrate how to create mystery adventure games from open data, mainly from DBpedia 9 datasets which contain semantically enriched content extracted from Wikipedia 10 .…”
mentioning
confidence: 99%