Abstract
Biologists usually focus on only a small, individualized, sub-domain of the huge domain of biology. With respect to their sub-domain, they often need data collected from various different web resources. In this research, we provide a tool with which biologists can generate a sub-domain-size, user-specific ontology that can extract data from web resources. The central idea is to let a user provide a seed, which consists of a single data instance embedded within the concepts of interest. Given a seed, the system can generate an extraction ontology, match information with the user’s view based on the seed, and collect information from online repositories. Our initial experimentations indicate that our prototype system can successfully match source data with an ontology seed and gather information from different sources with respect to user-specific, personalized views.
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Tao, C., Embley, D.W. (2007). Seed-Based Generation of Personalized Bio-ontologies for Information Extraction. In: Hainaut, JL., et al. Advances in Conceptual Modeling – Foundations and Applications. ER 2007. Lecture Notes in Computer Science, vol 4802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76292-8_9
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DOI: https://doi.org/10.1007/978-3-540-76292-8_9
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