Online platforms have emerged to facilitate patent transfer between academia and industry,
but a recommendation method that matches patents with company needs is missing in the …

Recommender systems in educational contexts have proven to be effective in identifying
learning resources that fit the interests and needs of learners. Their usage has been of …

In this paper, we study the effects of different node and edge weighting strategies of graph-
based semantic representations on the accuracy of a scholarly paper recommendation …

Fuelled by a desire for greater connectivity, networked systems now pervade our society at
an unprecedented level that will affect it in ways we do not yet understand. In contrast …

Patent analysis is a technique that utilizes data analysis methods to explore potential
content or relationships within patents. As one of the important techniques in patent analysis …

The automatic identification of core concepts addressed by a learning resource is an
important task in favor of organizing content for educational purposes and for the next …

In this paper, 3D building shape similarities using graph similarity calculations are
discussed. Moreover, a method for characterizing and measuring building shapes in urban …

Graph-valued data arises in numerous diverse scientific fields ranging from sociology,
epidemiology and genomics to neuroscience and economics. For example, sociologists …

The Web increasingly permeates the activities of the human being. Learning has not been
the exception, and we often learn on our own with resources from websites and online …

The automatic identification of core concepts addressed by a learning resource is an
important task in favor of organizing content for educational purposes and for the next …