Taxonomies embody formalized knowledge and define aggregations between concepts/categories in a given domain, facilitating the organization of the data and making the contents easily accessible to the users. Since taxonomies have significant roles in the data annotation, search and navigation, they are often carefully engineered. However, especially in very dynamic content, they do not necessarily reflect the content knowledge. Thus, in this paper, we propose A Narrative Interpretation of Taxonomies for their Adaptation (ANITA) for re-structuring existing taxonomies to varying application contexts and we evaluate the proposed scheme by user studies that show that the proposed algorithm is able to adapt the taxonomy in a new compact and understandable structure from a human point of view.

ANITA: a narrative interpretation of taxonomies for theiradaptation to text collections

CATALDI, Mario;SAPINO, Maria Luisa
2010-01-01

Abstract

Taxonomies embody formalized knowledge and define aggregations between concepts/categories in a given domain, facilitating the organization of the data and making the contents easily accessible to the users. Since taxonomies have significant roles in the data annotation, search and navigation, they are often carefully engineered. However, especially in very dynamic content, they do not necessarily reflect the content knowledge. Thus, in this paper, we propose A Narrative Interpretation of Taxonomies for their Adaptation (ANITA) for re-structuring existing taxonomies to varying application contexts and we evaluate the proposed scheme by user studies that show that the proposed algorithm is able to adapt the taxonomy in a new compact and understandable structure from a human point of view.
2010
CIKM 2010 : International Conference on Information and Knowledge Management
Toronto
Oct 25, 2010 - Oct 29, 2010
Proceeedings of CIKM 2010
ACM
1781
1784
9781450300995
http://portal.acm.org/citation.cfm?doid=1871437.1871728
Mario Cataldi; K. Selcuk Candan; Maria Luisa Sapino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/82042
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