Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
The Web is increasingly understood as a global information space consisting not just of linked documents, but also of Linked Data. More than just a vision, the resulting Web of Da...
Christian Bizer, Tom Heath, Kingsley Idehen, Tim B...
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
A heterogeneous community of practice spans many disciplines, industries and professions. Members of these communities are united by common research, products and experiences but ...
Currently, in the field of technology monitoring, it is very important to be able to get relevant information from heterogeneous sources, especially on the World Wide Web. The com...