Faceted navigation through keyword interaction

A text usually contains multiple semantic units corresponding to various reading requests from users. One semantic unit represents a topic that people are interested in reading. A meaningful combination of semantic units can represent a certain aspect of the text. This paper proposes a mechanism that can extract the semantic units from text according to the keywords representing users' interests and can organise semantic units into facets reflecting certain aspects of a text. The mechanism can display facets of a text with a set of operations. The proposed mechanism considers human reading process. With this mechanism, readers can quickly obtain the interested content from a large text. Experiments show its effectiveness and robustness.