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CLEF
2006
Springer
15 years 11 months ago
Using Machine Learning and Text Mining in Question Answering
This paper describes a QA system centered in a full data-driven architecture. It applies machine learning and text mining techniques to identify the most probable answers to factoi...
Antonio Juárez-González, Alberto T&e...
WWW
2003
ACM
16 years 8 months ago
Ontology-Based Image Retrieval
The binary form of an image does not tell what the image is about. It is possible to retrieve images from a database using pattern matching techniques, but usually textual descript...
Avril Styrman, Eero Hyvönen, Kim Viljanen, Sa...
ESWA
2008
96views more  ESWA 2008»
15 years 7 months ago
samap: An user-oriented adaptive system for planning tourist visits
In this paper, we present samap, whose goal is to build a software tool to help different people visit different cities. This tool integrates modules that dynamically capture user...
Luis A. Castillo, Eva Armengol, Eva Onaindia, Laur...
OTM
2009
Springer
16 years 1 months ago
Ontology-Driven Provenance Management in eScience: An Application in Parasite Research
Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experime...
Satya Sanket Sahoo, D. Brent Weatherly, Raghava Mu...
ICEBE
2005
IEEE
139views Business» more  ICEBE 2005»
16 years 26 days ago
Modeling and Reasoning about Uncertainty in Context-Aware Systems
Uncertainty always exists as an unavoidable factor when developing context-aware applications for pervasive computing environments [1][2][3][4]. In this paper, we propose a unifie...
Binh An Truong, Young-Koo Lee, Sungyoung Lee