Szymon Lazaruk

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Since many semantic content creation methods and initiatives have been developed, a fully automatic process cannot be implemented. As a consequence, many application designers are interested in the question of how to motivate users to become a part of this endeavor, compensating the limitations of purely machine-driven content creation techniques. Methods(More)
—This paper focuses on a semantically-enhanced Social Web Recommendation application, called Taste It! Try It! It is a mobile restaurants' review and recommendation application based on a Linked Data source and integrated with a social network. The application is consuming Linked Data (while creating the reviews), producing semantic annotations (about the(More)
This paper focuses on a semantically-enhanced Social Web Recommendation application, called Taste It! Try It! It is a mobile restaurants' review and recommendation application based on a Linked Data source and integrated with a social network. The application is consuming Linked Data (while creating the reviews), producing semantic annotations (about the(More)
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