Recent proliferation of computing devices has brought attention to heterogeneous collaborative systems, where key challenges arise from the resource limitations and disparities. S...
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
This paper describes an application of IR and text categorization methods to a highly practical problem in biomedicine, specifically, Gene Ontology (GO) annotation. GO annotation...
Depending on a web searcher’s familiarity with a query’s target topic, it may be more appropriate to show her introductory or advanced documents. The TREC HARD [1] track defi...
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...