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KI
1999
Springer
14 years 1 months ago
Computing Probabilistic Least Common Subsumers in Description Logics
Computing least common subsumers in description logics is an important reasoning service useful for a number of applications. As shown in the literature, it can, for instance, be u...
Thomas Mantay, Ralf Möller, Alissa Kaplunova
SIGIR
2010
ACM
13 years 10 months ago
Entity summarization of news articles
In this paper we study the problem of entity retrieval for news applications and the importance of the news trail history (i.e. past related articles) to determine the relevant en...
Gianluca Demartini, Malik Muhammad Saad Missen, Ro...
SPIRE
2005
Springer
14 years 3 months ago
Retrieval Status Values in Information Retrieval Evaluation
Retrieval systems rank documents according to their retrieval status values (RSV) if these are monotonously increasing with the probability of relevance of documents. In this work,...
Amélie Imafouo, Xavier Tannier
ECIR
2007
Springer
13 years 11 months ago
A Retrieval Evaluation Methodology for Incomplete Relevance Assessments
In this paper we a propose an extended methodology for laboratory based Information Retrieval evaluation under incomplete relevance assessments. This new protocol aims to identify ...
Mark Baillie, Leif Azzopardi, Ian Ruthven
VIP
2003
13 years 11 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin