1,721,202 research outputs found
A basis for information retrieval in context
No full textInformation retrieval (IR) models based on vector spaces have been investigated for a long time. Nevertheless, they have recently attracted much research interest. In parallel, context has been rediscovered as a crucial issue in information retrieval. This article presents a principled approach to modeling context and its role in ranking information objects using vector spaces. First, the article outlines how a basis of a vector space naturally represents context, both its properties and factors. Second, a ranking function computes the probability of context in the objects represented in a vector space, namely, the probability that a contextual factor has affected the preparation of an object
Making digital libraries effective: Automatic generation of links for similarity search across hyper-textbooks
No full textTextbooks are even more available in electronic format nowadays than
in the past. As the size of a textbook is on an average large, the
end user needs effective tools to rapidly access information
encapsulated in textbooks stored in digital libraries. Statistical
similarity-based links among hyper-textbooks are a means to provide
those tools. In this paper, the design and the implementation of a
tool that generates networks of links within and across
hyper-textbooks through a completely automatic and unsupervised
procedure will be illustrated. The design is based on statistical
techniques. The overall methodology is presented here together with
the results of a case-study reached through a working prototype
which shows that connecting hyper-textbooks can be an efficient way
to provide an effective retrieval capability
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