Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Emerging user intentions: matching user queries with topic evolution in news text streams
Año:2009
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
Trend detection analysis from unstructured data poses a huge challenge to current advanced, web-enabled knowledge-based systems (KBS). Consolidated studies in topic and trend detection from text streams have concentrated so far mainly on identifying and visualizing dynamically evolving text patterns. From the knowledge modeling perspective identifying and defining new, relevant features that are able to synchronize the emergent user intentions to the dynamicity of the system's structure is a need. Additionally the advanced KBS have to remain highly sensitive to the content change, marked by evolution of trends in topics extracted from text streams. In this paper, we are describing a three-layered approach called the "user-system-content method" that is helping us to identify the most relevant knowledge mapping features derived from the USER, SYSTEM and CONTENT perspectives into an overall "context model", that will enable the advanced KBS to automatically streamline the query enrichment process in a much more user-centered, dynamical and flexible way. After a general introduction to our three-layered approach, we will describe into detail the necessary process steps for the implementation of our method and will present a case study for its integration on a real multimedia web-content portal using news streams as major source of unstructured information.
Internacional
Si
JCR del ISI
Si
Título de la revista
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
ISSN
0218-4885
Factor de impacto JCR
1
Información de impacto
Volumen
17
DOI
10.1142/S0218488509006030
Número de revista
1
Desde la página
59
Hasta la página
80
Mes
ENERO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: María Cecilia Valencia Peláez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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