Selecting biomedical data sources according to user preferences

Selecting biomedical data sources according to user preferences

MOTIVATION Biologists are now faced with the problem of integrating information from multiple heterogeneous public sources with their own experimental data contained in individual sources. The selection of the sources to be considered is thus critically important. RESULTS Our aim is to support biologists by developing a module based on an algorithm that presents a selection of sources relevan...

Homogenising Access to Heterogeneous Biomedical Data Sources

This paper reports our experiences of developing data access services in the context of the ACGT project. The paper documents two aspects of the work that we carried out. First the focus is on the problem of how to best provide a syntactically homogeneous data access interface for a set of heterogeneous data sources. We describe related work, outline the approach we have taken, and report our f...

Selecting queries from sample to crawl deep web data sources

This paper studies the problem of selecting queries to efficiently crawl a deep web data source using a set of sample documents. Crawling deep web is the process of collecting data from search interfaces by issuing queries. One of the major challenges in crawling deep web is the selection of the queries so that most of the data can be retrieved at a low cost. We propose to learn a set of querie...

Interoperability Driven Integration of Biomedical Data Sources

In this paper, we introduce a data integration methodology that promotes technical, syntactic and semantic interoperability for operational healthcare data sources. ETL processes provide access to different operational databases at the technical level. Furthermore, data instances have they syntax aligned according to biomedical terminologies using natural language processing. Finally, semantic ...

Data Integration with Preferences Among Sources