Article3096
Scalable Discovery of Linked APIs
Scalable Discovery of Linked APIs
Veröffentlicht: 2013
Journal: Int. J. of Metadata, Semantics and Ontologies
Nummer: 2
Seiten: 95-105
Verlag: Inderscience
Volume: 8
Referierte Veröffentlichung
Kurzfassung
A number of approaches bring together the principles and technologies which define
Linked Data with those of RESTful services. Services and APIs are thus enriched by, and contribute
to, the Web of Data. These approaches, referred to as Linked APIs, use graphic patterns as an
intuitive way to describe input and output expectations. To enable agents to discover Linked APIs
we propose metrics tailored for a scalable discovery system to measure the degree service
descriptions match service templates formulated by an agent. The metrics are based on the used
vocabularies in the service descriptions and templates as well as on the containment relation of the
employed graph patterns. We introduce a cloud-based implementation of our system in a distributed
environment to further address scalability. The results of our evaluation show the positive effects of
a distributed computation strategy on the performance of our system.
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