The motivation behind ``Probabilistic Indexing'' was to replace two-valued thinking about information retrieval with probabilistic notions. This involved a new view of t...
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Users enter queries that are short as well as long. The aim of this work is to evaluate techniques that can enable information retrieval (IR) systems to automatically adapt to per...
In this paper we investigate how information surrogates might be useful in exploratory search and what information it is useful for a surrogate to contain. By comparing assessment...
Ian Ruthven, Mark Baillie, Leif Azzopardi, Ralf Bi...
In the last few years, there is an increasing interest to generate visual representations of very large scientific domains. A methodology based on the combined use of ISI
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
The semantic web not only contains resources but also includes the heterogeneous relationships among them, which is sharply distinguished from the current web. As the growth of th...