Abstract
With fast development of life science research, countless achievements have been generated and scattered in various literatures. Information providers are facing the challenge of satisfying users’ needs for more efficient and intelligent retrieval. Information integration and mining are promising ways that become more and more important. This paper describes how protein related information is mined from the Chinese Biological Abstract (CBA) database, and integrated with corresponding information in the Universal Protein Resource (Uniprot database). With the collaboration of European Bioinformatics Institute (EBI), integration with corresponding protein information in the Uniprot database is achieved. This paper describes the integration and mapping between Chinese bibliographic databases and authoritative factual databases through relevant text mining works. It would be helpful for extension, utilization and mining of Chinese bibliographic resources, as well as cross lingual information retrieval, integration, and mining.
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References
Doms, A., Schroeder, M.: GoPubMed: exploring PubMed with the gene ontology. Nucleic Acids Research 33, 783–786 (2005)
Maglott, D., Ostell, J., Pruitt, K., Tatusova, T.: Entrez Gene: gene-centered information at NCBI. Nucleic Acids Research 39, 52–57 (2011)
Pasquier, C.: Biological data integration using Semantic Web technologies. Biochimie 90, 584–594 (2008)
McGarry, K., Garfield, S., Morris, N.: Recent trends in knowledge and data integration for the life sciences. Expert Systems 23(5), 330–341 (2006)
Alexopoulou, D., Wächter, T., Pickersgill, L., Eyre, C., Schroeder, M.: Terminologies for text-mining; an experiment in the lipoprotein metabolism domain. BMC Bioinformatics 9(suppl. 4), S2 (2008)
Sahoo, S., Bodenreider, O., Zeng, K., Sheth, A.: An experiment in integrating large biomedical knowledge resources with RDF: Application to associating genotype and phenotype information. In: 16th International World Wide Web Conference (WWW 2007) on Health Care and Life Sciences Data Integration for the Semantic Web, Banff, Canada, pp. 8–12 (2007)
Jain, E., Bairoch, A., Duvaud, S., et al.: Infrastructure for the life sciences: design and implementation of the UniProt website. BMC Bioinformatics 10, 136–136 (2009)
Bairoch, A., Apweiler, R., Wu, C., et al.: The Universal Protein Resource (UniProt). Nucleic Acids Research 33, 154–159 (2005)
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Chen, H. et al. (2013). Mining and Information Integration Practice for Chinese Bibliographic Database of Life Sciences. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2013. Lecture Notes in Computer Science(), vol 7987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39736-3_1
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DOI: https://doi.org/10.1007/978-3-642-39736-3_1
Publisher Name: Springer, Berlin, Heidelberg
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