  The Polkadot ecosystem is a disruptive and highly complex multi-chain
architecture that poses challenges in terms of data analysis and
communicability. Currently, there is a lack of standardized and holistic
approaches to retrieve and analyze data across parachains and applications,
making it difficult for general users and developers to access ecosystem data
consistently. This paper proposes a conceptual framework that includes a domain
ontology called POnto (a Polkadot Ontology) to address these challenges. POnto
provides a structured representation of the ecosystem's concepts and
relationships, enabling a formal understanding of the platform. The proposed
knowledge-oriented approach enhances integration and communicability, enabling
a wider range of users to participate in the ecosystem and facilitating the
development of AI-based applications. The paper presents a case study
methodology to validate the proposed framework, which includes expert feedback
and insights from the Polkadot community. The POnto ontology and the roadmap
for a query engine based on a Controlled Natural Language using the ontology,
provide valuable contributions to the growth and adoption of the Polkadot
ecosystem in heterogeneous socio-technical environments.
