Abstract
This paper proposes an immune-based framework for adaptive query expansion in the semantic web, where exploratory queries, common in biological information retrieval, can be answered more effectively. The proposed technique has a metaphor with negative selection and clonal expansion in immune systems. This work is differentiated from the previous query expansion techniques by its data-driven adaptation. It utilizes target databases as well as the ontology to expand queries. This data-driven adaptive feature is especially important in exploratory information retrieval where the querying intention itself can be dynamically changed by relevance feedback.
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Lee, D., Kim, J., Jeong, M., Won, Y., Park, S.H., Lee, KH. (2003). Immune-Based Framework for Exploratory Bio-information Retrieval from the Semantic Web. In: Timmis, J., Bentley, P.J., Hart, E. (eds) Artificial Immune Systems. ICARIS 2003. Lecture Notes in Computer Science, vol 2787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45192-1_13
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DOI: https://doi.org/10.1007/978-3-540-45192-1_13
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