Showing all 2 Tech Reports from 2015

Early Detection and Forecasting of Research Trends

Identifying and forecasting research trends is of critical importance for a variety of stakeholders, including researchers, academic publishers, institutional funding bodies, companies operating in the innovation space and others. Currently, this task is typically performed by domain experts, with the assistance of tools for exploring research data. The overall increase of research data in the past decade makes the use of automatic approaches more suitable for this purpose. However, automatic...read more

ID: kmi-15-02

Date: 2015

Author(s): Angelo Antonio Salatino

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Extracting URI Patterns from SPARQL Endpoints

Understanding the structure of identifiers in a particular dataset is critical for users/applications that want to use such a dataset, and connect to it. This is especially true in Linked Data where, while benefiting from having the structure of URIs, identifiers are also designed according to specific conventions, which are rarely made explicit and documented. In this paper, we present an automatic method to extract such URI patterns which is based on adapting formal concept analysis...read more

ID: kmi-15-01

Date: 2015

Author(s): Mathieu d'Aquin,Alessandro Adamou,Enrico Daga,Nicolas Jay

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