ROUTE SUGGESTION FOR VISITING MUSEUMS USING SEMANTIC DATA
ROUTE SUGGESTION FOR VISITING MUSEUMS USING SEMANTIC DATA
Author(s): Octavian RINCIOG, Ilie Cristian DOROBĂȚ, Vlad POSEASubject(s): Social Sciences
Published by: Carol I National Defence University Publishing House
Keywords: RDF; Vocabulary; Route suggestion.
Summary/Abstract: Open data published by the Romanian Government in the data.gov.ro portal can be used to create e-learning applications. In the RoLOD platform, which contains semantic data, a part of the published data has been converted into a machine-readable format, named RDF (Resource Description Framework). This format was chosen in order to standardize the information and also to augment it with various other existing online information, such as geographic coordinates. In Romania, according to published data, there are 1014 museums, scattered throughout the entire country. In this article, we present an application which suggests the visiting route for a number of museums, using data provided by the Romanian National Heritage Institute, which have already been published in RDF format. This suggestion is based on user preferences, which can select the time length of the route (which may vary from one hour to several days) and the preferred museum type. Sightseeing route is calculated taking into account the starting point, the selected duration. The means of transport is considered personal car. The optimal route, which in our view is maximizing the number of museums and is decreasing the overall duration of transit, is calculated using a series of graph algorithms.
Journal: Conference proceedings of »eLearning and Software for Education« (eLSE)
- Issue Year: 13/2017
- Issue No: 01
- Page Range: 48-55
- Page Count: 8
- Language: English