IDPredictor: Predict Database Links in Biomedical Database
Knowledge found in biomedical databases, in particular in Web information systems, is a major bioinformatics resource. In general, this biological knowledge is worldwide rep-resented in a network of databases. These data is spread among thousands of databases, which overlap in content, but differ substantially with respect to content detail, interface, formats and data structure. To support a functional annotation of lab data, such as protein sequences, metabolites or DNA sequences as well as a semi-automated data exploration in information retrieval en-vironments, an integrated view to databases is essential. Search engines have the potential of assisting in data retrieval from these structured sources, but fall short of providing a comprehensive knowledge excerpt out of the interlinked databases. A prerequisit of sup-porting the concept of an integrated data view is to acquire insights into cross-references among database entities. This issue is being hampered by the fact, that only a fraction of all possible cross-references are explicitely tagged in the particular biomedical informations systems. In this work, we investigate to what extend an automated construction of an integrated data network is possible. We propose a method that predicts and extracts cross-references from multiple life science databases and possible referenced data targets. We study the retrieval quality of our method and report on first, promising results. The method is implemented as the tool IDPredictor, which is published under the DOI 10.5447/IPK/2012/4 and is freely available using the URL: http://dx.doi.org/10.5447/IPK72 012/4.
Hendrick Mehlhorn Matthias Lange Uwe Scholz Falk Schreiber
lnstitute for Plant Genetics and Crop Plant Research (IPK) Gatersleben, Germany Both authors contrib lnstitute for Plant Genetics and Crop Plant Research (IPK) Gatersleben, Germany lnstitute for Plant Genetics and Crop Plant Research (IPK) Gatersleben, Germany Institute of Compute
国际会议
杭州
英文
135-148
2012-04-02（万方平台首次上网日期，不代表论文的发表时间）