Producción CyT
Artículo
Autoría
LORENZETTI, CARLOS MARTIN
;
MAGUITMAN, ANA GABRIELA
;
Leake, David
;
Menczer, Filippo
;
Reichherzer, Thomas
Fecha
2016
Editorial y Lugar de Edición
Association for Computing Machinery
Revista
ACM Transactions on Knowledge Discovery from Data,
vol. 11
(pp. 1-30)
- ISSN 1556-4681
Association for Computing Machinery
Association for Computing Machinery
ISSN
1556-4681
Resumen
Información suministrada por el agente en
SIGEVA
Electronic concept maps, interlinked with other concept maps and multimedia resources, can provide rich knowledge models to capture and share human knowledge. This article presents and evaluates methods to support experts as they extend existing knowledge models, by suggesting new context-relevant topics mined from Web search engines. The task of generating topics to support knowledge model extension raises two research questions: first, how to extract topic descriptors and discriminators from ...
Electronic concept maps, interlinked with other concept maps and multimedia resources, can provide rich knowledge models to capture and share human knowledge. This article presents and evaluates methods to support experts as they extend existing knowledge models, by suggesting new context-relevant topics mined from Web search engines. The task of generating topics to support knowledge model extension raises two research questions: first, how to extract topic descriptors and discriminators from concept maps; and second, how to use these topic descriptors and discriminators to identify candidate topics on the Web with the right balance of novelty and relevance. To address these questions, this article first develops the theoretical framework required for a "topic suggester" to aid information search in the context of a knowledge model under construction. It then presents and evaluates algorithms based on this framework and applied in EXTENDER, an implemented tool for topic suggestion. EXTENDER has been developed and tested within CmapTools, a widely used system for supporting knowledge modeling using concept maps. However, the generality of the algorithms makes them applicable to a broad class of knowledge modeling systems, and to Web search in general.
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Palabras Clave
KNOWLEDGE DISCOVERYKNOWLEDGE CONSTRUCTIONINTELLIGENT SUGGESTERSCONCEPT MAPPINGWEB MINING
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