@inbook{f07d2411267c491895fa866b02195f35,
title = "Immune-based framework for exploratory bio-information retrieval from the semantic web",
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.",
author = "Doheon Lee and Jungja Kim and Mina Jeong and Yonggwan Won and Park, \{Seon Hee\} and Lee, \{Kwang Hyung\}",
year = "2003",
doi = "10.1007/978-3-540-45192-1\_13",
language = "English",
isbn = "3540407669",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "128--135",
editor = "Jon Timmis and Peter Bentley and Emma Hart",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}