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IR
2007
13 years 4 months ago
An empirical study of tokenization strategies for biomedical information retrieval
Due to the great variation of biological names in biomedical text, appropriate tokenization is an important preprocessing step for biomedical information retrieval. Despite its im...
Jing Jiang, ChengXiang Zhai
SEMWEB
2007
Springer
13 years 11 months ago
A Fuzzy Ontology-Approach to improve Semantic Information Retrieval
This paper shows how a Fuzzy Ontology based approach can improve semantic documents retrieval. After formally defining a Fuzzy Knowledge Base, it is discussed a special type of ne...
Silvia Calegari, Elie Sanchez
CORIA
2006
13 years 6 months ago
On Combining Text and MeSH Searches to Improve the Retrieval of MEDLINE documents
The MEDLINE database is the world largest repository of bio-medical abstracts. It is a central information entry point for most biologists despite the growing availability of full-...
Fabrice Camous, Stephen Blott, Alan F. Smeaton
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
13 years 8 months ago
Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques
In this paper, we present Concept Chain Queries (CCQ), a special case of text mining in document collections focusing on detecting links between two topics across text documents. ...
Wei Jin, Rohini K. Srihari, Hung Hay Ho, Xin Wu
IJCNN
2007
IEEE
13 years 11 months ago
Text Representations for Text Categorization: A Case Study in Biomedical Domain
— In vector space model (VSM), textual documents are represented as vectors in the term space. Therefore, there are two issues in this representation, i.e. (1) what should a term...
Man Lan, Chew Lim Tan, Jian Su, Hwee-Boon Low