RT Dissertation/Thesis T1 Contributions to semantics-based recommendations and visualization technologies to develop and curate cultural heritage experiences T2 Contribuciones a las recomendaciones basadas en la semántica y tecnologías de visualización para desarrollar y curar las experiencias del patrimonio cultural A1 Daif, Abdullah K1 1203.02 Lenguajes Algorítmicos K1 3325 Tecnología de las Telecomunicaciones AB This research aims to make use of semantics to appraise cultural heritage in Europe. A huge network of knowledge will be built from multiple data sources including knowledge bases and ontologies such as DBPedia and YAGO. We aim to build an interactive mobile game application that provides tourists and museum visitors with useful data concerning their visits putting into account their preferences, visit locations, and their knowledge level. The problem is that current sources of semantic networks contain a huge amount of irrelevant or useless data. It will be difficult to evaluate recommendations by players as they may not provide feedback and use it if they find the topics irrelevant or the data made no sense to them, hence at the early stages, it is important that recommendations get monitored and evaluated by experts. This will be done through an expert tool with visualization and collaboration features that will facilitate the process.The interactive game will provide users with three types of information; MCQs (Multiple choice questions), timelines and maps. A recommender system will recommend data provided to users after evaluation by experts. YR 2021 FD 2021-05-31 LK http://hdl.handle.net/11093/2200 UL http://hdl.handle.net/11093/2200 LA eng DS Investigo RD 11-nov-2024