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This paper focuses on the extent to which expertise can impact clinical query formulation, document relevance assessment and retrieval performance in the context of tailoring retrieval models and systems to experts vs. non-experts.
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However, poor query formulation was found to be an obstacle in seeking answers to clinical questions as well as in the practice of evidence-based medicine [ 11, 12].
Boolean and probabilistic approaches to indexing, query formulation, and output ranking.
However, the primary focus in this field has been on semantic query optimization, not on query formulation.
All of our submissions to TRECVID 2006 are fully automatic runs, without using manual query formulation or interactive search.
We propose a concept-based query language, called the conceptual query language (CQL), which allows for the conceptual abstraction of database queries and exploits the rich semantics of data models to ease and facilitate query formulation.
Graphical interfaces to query these sources of information ease to constrain dynamically query formulation based on user selections, but they present a lack of flexibility in query formulation, since the expressivity power is reduced to the user interface design.
Studies on the important aspects of conceptual query formulation are currently not as extensive.
Understanding such communication is indispensable for designing intelligent human machine dialog systems that automate query formulation.
Finally, we compare the TDWs and a surrogate key-based temporal data warehouse (SKTDW) using query formulation, query performance, and data warehouse size as parameters.
Where term-based querying relies upon suitable query formulation, browsing of pre-organised information allows the information to be displayed against a descriptive structure.
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