Exploiting semantic annotation of content with Linked Data to improve searching performance in web repositories

Searching in online repositories of multidisciplinary research data is becoming a challenge due to the volume and types of data being published every year-

Researchers in Social Sciences (for instance) use typical keywords search which doesn’t suffice their needs given the known issues of content heterogeneity, obsolete concepts/terms and the size of data-
All this leads to a number of problems including insufficient content exposure, unsatisfied researchers and lack of trust in such scientific repositories