Abstract. The aim of our work is to develop a flexible and powerful Knowledge Acquisition framework that allows users to rapidly develop Natural Language Processing systems, includ...
Abstract. We propose a unified and complete solution for expert finding in organizations, including not only expertise identification, but also expertise selection functionality. T...
Pavel Serdyukov, Ling Feng, Arthur H. van Bunninge...
With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents ...
In this paper we present the novel paradigm of Social Semantic Bookmarking. Social Semantic Bookmarking combines the positive aspects of semantic annotation with those of social bo...