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Marwa Abdelreheim, Taysir Hassan A. Soliman and Friederike Klan
The profusion of existing ontologies in different domains has made reusing ontologies a best practice when developing new ontologies. The ontology reuse process reduces the expensive cost of developing a new ontology, in terms of time and effort, and sup...
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Dimos Ntioudis, Panagiota Masa, Anastasios Karakostas, Georgios Meditskos, Stefanos Vrochidis and Ioannis Kompatsiaris
Participation in the labor market is seen as the most important factor favoring long-term integration of migrants and refugees into society. This paper describes the job recommendation framework of the Integration of Migrants MatchER SErvice (IMMERSE). T...
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Luís Oliveira, Rodrigo Rocha Silva and Jorge Bernardino
Wine is the second most popular alcoholic drink in the world behind beer. With the rise of e-commerce, recommendation systems have become a very important factor in the success of business. Recommendation systems analyze metadata to predict if, for examp...
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Bilal Koteich, Éric Saux and Wissame Laddada
Maps have long been seen as a single cartographic product for different uses, with the user having to adapt their interpretation to his or her own needs. On-demand mapping reverses this paradigm in that it is the map that adapts to the user?s needs and c...
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Konstantinos Sikelis, George E. Tsekouras and Konstantinos Kotis
The Semantic Web emerged as an extension to the traditional Web, adding meaning (semantics) to a distributed Web of structured and linked information. At its core, the concept of ontology provides the means to semantically describe and structure informat...
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Márcio Guia, Rodrigo Rocha Silva and Jorge Bernardino
The growth of the Internet has increased the amount of data and information available to any person at any time. Recommendation Systems help users find the items that meet their preferences, among the large number of items available. Techniques such as c...
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Ahmad Hawalah
Text classification is a process of classifying textual contents to a set of predefined classes and categories. As enormous numbers of documents and contextual contents are introduced every day on the Internet, it becomes essential to use text classifica...
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Paul Sheridan, Mikael Onsjö, Claudia Becerra, Sergio Jimenez and George Dueñas
Collaborative filtering based recommender systems have proven to be extremely successful in settings where user preference data on items is abundant. However, collaborative filtering algorithms are hindered by their weakness against the item cold-start p...
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