Combining the Best of Both Worlds: A Semantic Web Book Mashup as a Linked Data Service Over CMS Infrastructure

Abstract

We propose a proof-of-concept of how the best of the Web world (RESTful services, Semantic technologies, and CMSs) can be successfully incorporated in the form of a semantic mashup. This mashup enriches data from various Web APIs with semantics to produce personalized book recommendations and to make them available as Linked Data. It is shown that this approach not only leaves reasoning expressiveness and effective ontology management uncompromised but comes to their benefit. It also bears potential applications for libraries and cataloguing services that can take advantage of mashup merging, semantic personalization, and ranking of book records and reviews.