Definition
AliBaba is a text mining (see Applied Text Mining) system that analyzes scientific abstracts, extracts biomedical entities such as genes and diseases (Named Entity Recognition), and displays the results as a graph depicting relationships between these entities, such as protein–protein interactions (Plake et al. 2006). AliBaba is available at: alibaba.informatik.hu-berlin.de.
Characteristics
Literature searches form a substantial part of day-to-day work in life science–related domains. Researchers track recent developments in their fields, search for answers to specific questions, or obtain overviews of known facts on a given topic. The PubMed (see MEDLINE and PubMed) interface to Medline is the most renowned search engine in the life sciences, indexing over 20 million abstracts from more than 5,000 journals. Manually searching this vast amount is a tedious task, especially when exhaustive information are needed, or when information about a set of objects are required....
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References
Plake C, Schiemann T, Pankalla M, Hakenberg J, Leser U (2006) AliBaba: PubMed as a graph. Bioinformatics 22(19):2444–2445, doi: 10.1093/bioinformatics/btl408. http://dx.doi.org/10.1093/bioinformatics/btl408
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Plake, C., Hakenberg, J. (2013). AliBaba. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_132
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DOI: https://doi.org/10.1007/978-1-4419-9863-7_132
Publisher Name: Springer, New York, NY
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