Elucidating the mashup hype Chat with porn girls without registering
The manual fusion of such data may lead to errors in copy-paste operations, loss of alignment and coherency due to multiple spreadsheet copies in circulation, as well as loss of data due to broken cross-spreadsheet links.
In this paper we describe a methodology, based on a Spreadsheet Composition Platform, which greatly reduces these risks.
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The proposed platform seamlessly integrates the distributed spreadsheet elaboration, supports the commonly known spreadsheet tools for data processing and helps organizations to adopt a more controlled and secure environment for data fusion. Although carefully collected, accuracy cannot be guaranteed. Differing provisions from the publisher's actual policy or licence agreement may be applicable.
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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.
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.
It is shown that this approach not only leaves reasoning expressiveness and effective ontology management uncompromised, but comes to their benefit.