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.

翻译：Polkadot生态系统是一种颠覆性且高度复杂的多链架构，在数据分析和可通信性方面带来了挑战。目前，缺乏标准化和整体性的方法来检索和分析跨平行链及应用的数据，使得普通用户和开发者难以一致地访问生态系统数据。本文提出了一个概念框架，包括一个名为POnto（Polkadot本体）的领域本体，以应对这些挑战。POnto提供了生态系统概念与关系的结构化表示，从而能够形式化地理解该平台。所提出的面向知识的方法增强了集成与可通信性，使更广泛的用户群体能够参与生态系统，并促进基于人工智能的应用的开发。本文采用案例研究方法验证该框架，包括来自Polkadot社区的专家反馈和见解。POnto本体以及基于该本体使用受控自然语言的查询引擎路线图，为Polkadot生态系统在异构社会技术环境中的增长与采纳做出了有价值的贡献。