Improving the visibility of conference proceedings by characterizing scientific event data using the Semantic Web

Abstract

While semantic web technologies have facilitated search and discovery, the problem of visualizing conference proceedings on the web still faces a series of challenges, the most important of which is the lack of a fully accepted, unified ontology that can be used to characterize scientific demonstration data. Therefore, the aim of the research was to find a web ontology to define the concepts and vocabulary that would allow us to describe the data in the field of scientific demonstrations, so that this data can be published in the form of linked data on the web and made available for reading, understanding and processing by the machine; the process of building automated conference management systems that use this data was facilitated; the ontology was edited using the protege tool, and the study eventually reached a number of results, most notably: identifying data in the field of scientific demonstrations, describing them and giving them a meaning the machine can interpret. An anthology was built that includes the necessary vocabulary to describe data related to scientific demonstrations. The ontology includes a set of classes and properties, and each class and property is provided with a brief description, to facilitate the reuse. And the ability to publish data related to scientific events in the form of linked data, with the aim of improving the visibility of conference proceedings on the web