We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for identifying abnormal moving activities. Indeed, various asp...
Yong Ge, Hui Xiong, Zhi-hua Zhou, Hasan Ozdemir, J...
The design and maintenance of ontologies is a complex social collaborative activity, and this is true especially for semantic-web ontologies. On the one hand, such activity calls ...
Aldo Gangemi, Jos Lehmann, Valentina Presutti, Mal...
This paper addresses a fundamental and challenging problem with broad applications: efficient processing of region-based promotion queries, i.e., to discover the top-k most inter...
We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...