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» An Ontology-Based Information Retrieval Model
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IR
2000
13 years 10 months ago
Exploiting the Similarity of Non-Matching Terms at Retrieval Time
In classic InformationRetrieval systems a relevant document will not be retrieved in response to a query if the document and query representations do not share at least one term. T...
Fabio Crestani
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
14 years 4 months ago
Video Database Modeling and Temporal Pattern Retrieval using Hierarchical Markov Model Mediator
The dream of pervasive multimedia retrieval and reuse will not be realized without incorporating semantics in the multimedia database. As video data is penetrating many informatio...
Na Zhao, Shu-Ching Chen, Mei-Ling Shyu
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 5 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
WSDM
2012
ACM
309views Data Mining» more  WSDM 2012»
12 years 5 months ago
Mining contrastive opinions on political texts using cross-perspective topic model
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
CIKM
2008
Springer
14 years 2 days ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song