Interpreting Linked Data Search Results using Markov Logic
Duhai Alshukaili, Alvaro A. A. Fernandes, Norman W. Paton · EDBT/ICDT Workshops · 2015
Linked Data (LD) follows the web in providing low barriers to publication, and in deploying web-scale keyword search as a central way of identifying relevant data. As in the web, searches initially identify results in broadly the form in which they were published, and the published form may be provided to the user as the result of a search. This will be satisfactory in some cases, but the diversity of publishers means that the results of the search may be obtained from many dierent sources, and described in many dierent ways. As such, there seems to be an opportunity to add value to search results by providing users with an integrated representation that brings together features from dierent sources. This involves an on-the-y and automated data