Abstract
One approach to deal with large query answers or large collections of text documents is to impose some kind of structure to the collection for instance by a grouping into clusters of somehow related or close items. Another approach is to consider characteristics of the collection for instance by considering central and/or as a frequent keywords possibly taken from a background vocabulary or a more thorough structuring of background knowledge, like taxonomies or ontologies. In this paper we present a preliminary approach to combine these directions. More specifically we address an approach where conceptual summaries can be provided as answers to queries or survey over a document collection. The general idea is to apply a background knowledge ontology in connection with a combined clustering and generalization of keywords.
Preliminary experiments with Wordnet as background knowledge and excerpts from Semcor as data are presented and discussed.
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Andreasen, T., Bulskov, H., Terney, T.V. (2008). Ontological Summaries through Hierarchical Clustering. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds) Foundations of Intelligent Systems. ISMIS 2008. Lecture Notes in Computer Science(), vol 4994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68123-6_54
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DOI: https://doi.org/10.1007/978-3-540-68123-6_54
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