Abstract
Nowadays, it is still the primary problem to find the inhibitors of retrovirus, protease and integrase in anti-AIDS drug design. However, the research and experimental results about anti-AIDS inhibitors mainly exist in large numbers of scientific literature, not in readable format for computer. In this paper, we introduce an Ontology-based Information Extraction (OIE) approach to extract anti-AIDS inhibitors from literature. Key to the approach is the construction of anti-AIDS inhibitors ontology, which provides a semantic framework for information extraction, and annotation of corpus. Consequently, this paper primarily focuses on the architecture of OIE, on which we construct the anti-AIDS ontology using Protégé tool and annotate corpus. Finally, we employ a demonstrated application scenario to show how to annotate the PubMed articles based on the ontology we have constructed.
This work was supported by National Natural Science Foundation of China through projects: Research on Computational Chemistry e-SCIENCE and its Applications (Grant no. 90612016).
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Zhang, C., Du, J., Zhang, R., Fan, X., Yuan, Y., Ning, T. (2007). Extracting Information of Anti-AIDS Inhibitor from the Biological Literature Based on Ontology. In: Preparata, F.P., Fang, Q. (eds) Frontiers in Algorithmics. FAW 2007. Lecture Notes in Computer Science, vol 4613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73814-5_7
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DOI: https://doi.org/10.1007/978-3-540-73814-5_7
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