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
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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