A Graph-based Data Model for API Ecosystem Insights
Published: 2014 Juni
Buchtitel: Proceedings of the 21 IEEE International Conference on Web Services (ICWS)
Verlag: IEEE Computer Society
APIs are increasingly important for companies to enable partners and consumers to access their services and resources. API ecosystems deal with related challenges like publication, promotion and provision of APIs by providers and identification, selection and consumption of APIs by consumers. To address these challenges, to match consumers with relevant APIs, and to support API providers and thus ultimately the ecosystem to evolve, API ecosystems rely on information about APIs, their usage and characteristics, and the social environment around them. We present an extensible, graph-based data model to capture the entities in an API ecosystem and their relations. The data model includes temporal information to capture the evolution of API ecosystems. Analysis operations on top of the data model provide insights for consumers, providers and the ecosystem provider to address the introduced challenges. We present a system implementing the conceptualized data model. We integrate this system with an API ecosystem used in the context of a hackathon event to continuously collect data. We furthermore show the data model’s capabilities to represent a well-known dataset about ProgrammableWeb and to drive analysis operations on both datasets.