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» A generative retrieval model for structured documents
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ACSC
2009
IEEE
14 years 2 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
SIGIR
2004
ACM
14 years 1 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
CIKM
2011
Springer
12 years 7 months ago
Integrating and querying web databases and documents
There exist many interrelated information sources on the Internet that can be categorized into structured (database) and semistructured (documents). A key challenge is to integrat...
Carlos Garcia-Alvarado, Carlos Ordonez
RSFDGRC
2007
Springer
124views Data Mining» more  RSFDGRC 2007»
14 years 1 months ago
Supporting Literature Exploration with Granular Knowledge Structures
Reading and literature exploration are important tasks of scientific research. However, conventional retrieval systems provide limited support for these tasks by concentrating on ...
Yiyu Yao, Yi Zeng, Ning Zhong
KDD
2000
ACM
140views Data Mining» more  KDD 2000»
13 years 11 months ago
Effective Retrieval of Audio Information from Annotated Text Using Ontologies
To improve the accuracy in terms of precision and recall of an audio information retrieval system we have created a domainspecific ontology (a collection of key concepts and their...
Latifur Khan, Dennis McLeod