Linked open knowledge organization systems
Janneth Alexandra Chicaiza, Mariela Tapia-León, Nelson Piedra, Jorge López, Edmundo Tovar · 2019
The Web is the most used Internet's service to create and share information. In large information collections, Knowledge Organization plays a key role in order to classify and to find valuable information. Likewise, Linked Open Data is a powerful approach for linking different Web datasets. Today, several Knowledge Organization Systems are published by using the design criteria of linked data, it facilitates the automatic processing of them. In this paper, we address the issue of traversing open Knowledge Organization Systems, considering difficulties associated with their dynamics and size. To fill this issue, we propose a method to identify irrelevant nodes on an open graph, thus reducing the time and the scope of the graph path and maximizing the possibilities of finding more relevant results. The approach for graph reduction is independent of the domain or task for which the open system will be used. The preliminary results of the proof of concept lead us to think that the method can be effective when the coverage of the concept of interest increases.