Research Article Open Access

AN EFFECTIVE OPTIMIZATION OF QUERY RESULTS USING MIDDLEWARE LAYERS BASED ON CONCEPT OF HIERARCHIES IN BIOMEDICAL DATABASES

Abstract

Search queries on biomedical databases, such as Pub Med, often return a large number of results, only a small subset of which is relevant to the user. Ranking and categorization, which can alsobe combined, have been proposed to alleviate this information overload problem. Result optimization and results categorizationfor biomedical databases are the focus of this work. A natural way to organize biomedical citations is according to their Mesh annotations. MeSH is a comprehensive concept hierarchy used by Pub Med. In this paper, we present the BioIntelR (BIR) system, adopts the BioNav system enables the user to navigate large number of query results by organizing them using the Mesh concept hierarchy. First, BioIntelR (BIR) system prompts the user for the search criteria and the system automatically connects to a middle layer created at the application level which directs the query to the proper valid query path to select correct criteria of the search result from the biomedical database. The query results are organized into navigation tree. At each node expansion step, BIR system reveals only a small subset of the concept nodes, selected such that the expected user navigation cost is minimized. In contrast, to the previous systems, the BIR system outperforms and optimizes the query result time and minimizes query result set for easy user navigation, Data Warehousing.

Madduri Venkateswarlu and V. Srinivas

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