81,352 research outputs found
Intuitive querying of e-Health data repositories
At the centre of the Clinical e-Science Framework (CLEF) project is a repository of well organised, detailed clinical histories, encoded as data that will be available for use in clinical care and in-silico medical experiments. An integral part of the CLEF workbench is a tool to allow biomedical researchers and clinicians to query – in an intuitive way – the repository of patient data. This paper describes the CLEF query editing interface, which makes use of natural language generation techniques in order to alleviate some of the problems generally faced by natural language and graphical query interfaces. The query interface also incorporates an answer renderer that dynamically generates responses in both natural language text and graphics
Using COTS Search Engines and Custom Query Strategies at CLEF
This paper presents a system for bilingual information retrieval using commercial off-the-shelf search engines (COTS). Several custom query construction, expansion and translation strategies are compared. We present the experiments and the corresponding results for the CLEF 2004 event
Exploring a Multidimensional Representation of Documents and Queries (extended version)
In Information Retrieval (IR), whether implicitly or explicitly, queries and
documents are often represented as vectors. However, it may be more beneficial
to consider documents and/or queries as multidimensional objects. Our belief is
this would allow building "truly" interactive IR systems, i.e., where
interaction is fully incorporated in the IR framework.
The probabilistic formalism of quantum physics represents events and
densities as multidimensional objects. This paper presents our first step
towards building an interactive IR framework upon this formalism, by stating
how the first interaction of the retrieval process, when the user types a
query, can be formalised. Our framework depends on a number of parameters
affecting the final document ranking. In this paper we experimentally
investigate the effect of these parameters, showing that the proposed
representation of documents and queries as multidimensional objects can compete
with standard approaches, with the additional prospect to be applied to
interactive retrieval
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