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» Document Retrieval using a Probabilistic Knowledge Model
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CIKM
2008
Springer
14 years 11 months ago
Modeling document features for expert finding
We argue that expert finding is sensitive to multiple document features in an organization, and therefore, can benefit from the incorporation of these document features. We propos...
Jianhan Zhu, Dawei Song, Stefan M. Rüger, Xia...
ICALT
2006
IEEE
15 years 3 months ago
Using Ontologies to Model and Execute IMS Learning Design Documents
This paper briefly describes how ontologies can be used to model, validate and execute IMS Learning Design. The main contribution relies on incorporate the implicit knowledge foun...
Ricardo R. Amorim, Manuel Lama, Eduardo Sán...
ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Word Topical Mixture Models for Extractive Spoken Document Summarization
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
Berlin Chen, Yi-Ting Chen
JAIR
2011
88views more  JAIR 2011»
14 years 20 days ago
From "Identical" to "Similar": Fusing Retrieved Lists Based on Inter-Document Similarities
We present a novel approach to fusing document lists that are retrieved in response to a query. Our approach is based on utilizing information induced from inter-document similarit...
Anna Khudyak Kozorovitzky, Oren Kurland
CAISE
2004
Springer
15 years 3 months ago
Facing Document-Provider Heterogeneity in Knowledge Portals
Knowledge portals aim at facilitating the location, sharing and dissemination of information by sitting ontologies at the core of the system. For heterogeneous environments where c...
Jon Iturrioz, Oscar Díaz, Sergio Fern&aacut...