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Efforts to make highly specialized knowledge accessible through scientific digital libraries need to go beyond mere bibliographic metadata, since here information search is mostly entity-centric. Previous work has realized this trend and developed ...

Knowledge exchange between employees is an essential feature of recent commercial organisations on the competitive market. Based on the data gathered by various information technology IT systems, social links can be extracted and exploited in knowledge ...

Accurate and fast retrieval of relevant images is a challenging task mainly due to the limitation in understanding hidden knowledge in images, known as semantic gap. In this work, we propose a novel approach which incorporates local feature ...

With the rapid development of information technology, the significance of clustering in the process of delivering information to users is becoming more eminent. Especially in the web information space, clustering analysis can prove particularly ...