WORK / Papers / 2014




Title:

Linked data experience at Macmillan: Building discovery services for scientific and scholarly content on top of a semantic data model


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Full reference:

Tony Hammond, Michele Pasin. Linked data experience at Macmillan: Building discovery services for scientific and scholarly content on top of a semantic data model - International Semantic Web Conference (ISWC-14) October 2014 .

Abstract:

This paper presents recent work carried out at Macmillan Science and Education in evolving a traditional XML-based, document- centric enterprise publishing platform into a scalable, thing-centric and RDF-based semantic architecture. Performance and robustness guarantees required by our online products on the one hand, and the need to support legacy architectures on the other, led us to develop a hybrid infrastructure in which the data is modelled throughout in RDF but is replicated and distributed between RDF and XML data stores for efficient retrieval. A recently launched product – dynamic pages for scientific subject terms – is briefly introduced as a result of this semantic publishing architecture.