Abstract
This paper describes an approach that combines Linked Data and Graph Database concepts for modeling and retrieving RESTFul Linked APIs (Web APIs). We propose a multi-levels graph structure where the Web APIs (vertices) are connected by means of different types of links: The graph is stored in a graph database to allow graph exploration, e.g., to achieve an API discovery task for instance. The exploration/retrieval process is performed by means of graph queries: on the user (client) side, a keyword search interface is provided while, on the server side (graph database), a graph query is issued. The approach has been implemented on top of Neo4j and its cypher query language, and an experimentation has been conducted with real datasets.
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Aljalbout, S., Boucelma, O., Sellami, S. (2015). Modeling and Retrieving Linked RESTful APIs: A Graph Database Approach. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2015 Conferences. OTM 2015. Lecture Notes in Computer Science(), vol 9415. Springer, Cham. https://doi.org/10.1007/978-3-319-26148-5_29
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DOI: https://doi.org/10.1007/978-3-319-26148-5_29
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