This paper introduces a tripartite model of ontologies that extends the traditional bipartite model by incorporating the social dimension, resulting in a model of actors, concepts, and instances. The model is used to demonstrate how community-based semantics emerges through graph transformations. Two case studies are presented: one analyzing a large-scale folksonomy system and the other extracting community-based ontologies from web pages. The model is shown to generate lightweight ontologies and social networks through simple graph transformations. The paper evaluates one of the emergent ontologies against traditional methods and concludes that the community-based ontology (O_ac) is more accurate than the item-based ontology (O_ci). The results suggest that ontologies are inseparable from the social context in which they are created and used. The paper also discusses future work, including the study of emerging social networks based on object and concept overlaps. The model provides a framework for understanding the emergence of semantics from user actions and has the potential to enhance established ontologies like WordNet. The paper highlights the importance of social context in ontology creation and the benefits of incorporating it into ontology models.This paper introduces a tripartite model of ontologies that extends the traditional bipartite model by incorporating the social dimension, resulting in a model of actors, concepts, and instances. The model is used to demonstrate how community-based semantics emerges through graph transformations. Two case studies are presented: one analyzing a large-scale folksonomy system and the other extracting community-based ontologies from web pages. The model is shown to generate lightweight ontologies and social networks through simple graph transformations. The paper evaluates one of the emergent ontologies against traditional methods and concludes that the community-based ontology (O_ac) is more accurate than the item-based ontology (O_ci). The results suggest that ontologies are inseparable from the social context in which they are created and used. The paper also discusses future work, including the study of emerging social networks based on object and concept overlaps. The model provides a framework for understanding the emergence of semantics from user actions and has the potential to enhance established ontologies like WordNet. The paper highlights the importance of social context in ontology creation and the benefits of incorporating it into ontology models.