CMSs, Linked Data and Semantics: A Linked Data Mashup over Drupal for Personalized Search

Autor:	Georgia D. Solomou, Dimitrios A. Koutsomitropoulos, Aikaterini K. Kalou
Rok vydání:	2013
Předmět:	Computer science business.industry Linked data computer.software_genre Web API Social Semantic Web World Wide Web Web application Mashup Semantic Web Stack Web service business Semantic Web computer
Zdroj:	Communications in Computer and Information Science ISBN: 9783319034362 MTSR
DOI:	10.1007/978-3-319-03437-9_6
Popis:	Semantic mashups are a representative paradigm of Web applications which highlight the novelties and added-value of Semantic Web technologies, especially Linked Data. However, Semantic Web applications are often lacking desirable features related to their ‘Web’ part. On the other hand, in the world of traditional web-CMSs, issues like front-end intuitiveness, dynamic content rendering and streamlined user management have been already dealt with, elaborated and resolved. Instead of reinventing the wheel, in this paper we propose an example of how these features can be successfully integrated within a semantic mashup. In particular, we re-engineer our own semantic book mashup by taking advantage of the Drupal infrastructure. This mashup enriches data from various Web APIs with semantics in order to produce personalized book recommendations and to integrate them into the Linked Open Data (LOD) cloud. It is shown that this approach not only leaves reasoning expressiveness and effective ontology management uncompromised, but comes to their benefit.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::77852efaf9df3ed7f318edd2e2304dc7 https://doi.org/10.1007/978-3-319-03437-9_6 Zobrazit plný text záznamu