Associating Documents To Concept Maps In Context

Valerio, Alejandro and Leake, David B. and Cañas, Alberto J. (2008) Associating Documents To Concept Maps In Context. In: Concept Maps: Theory, Methodology, Technology. Proc. of the Third Int. Conference on Concept Mapping. Tallinn University, Tallinn, Estonia, pp. 114-121. ISBN 978-9985-58-584-9

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To be useful, automatic document classification systems must accurately place documents in categories that are meaningful to users. Because concept mapping externalizes humans’ conceptualizations of a domain, concept maps provide meaningful categories for organizing documents. Since electronic concept-mapping tools provide mechanisms for using concept maps for effective document access, using concept maps as means to classify documents provides at the same time a browsing system to access the classified documents. To enable automatically associating documents with the relevant concept maps, this paper presents a new top-down/bottom-up approach to classifying documents in the context of topically relevant concept maps. Using the target concept maps as context for extracting concepts from text, this approach generates concept-map-based indexing structures from documents and then indexes them under the concept map most compatible with the document. An experimental evaluation shows marked improvements in performance compared both to a previous bottom-up approach to this classification task and to a second baseline method using unstructured keyword-based indices.

Item Type: Book Section
Uncontrolled Keywords: Paper, CMC2008
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > QA76 Computer software
Depositing User: Mr. Ernest Prats
Date Deposited: 31 Mar 2013 09:18
Last Modified: 31 Mar 2013 09:18

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