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» Discovering Hidden Knowledge from Biomedical Literature
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IJBRA
2008
97views more  IJBRA 2008»
13 years 7 months ago
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model
: A major challenge in text mining for biomedicine is automatically extracting protein-protein interactions from the vast amount of biomedical literature. We have constructed an in...
Deyu Zhou, Yulan He, Chee Keong Kwoh
WEBI
2010
Springer
13 years 5 months ago
Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery
Biomedical entity extraction from unstructured web documents is an important task that needs to be performed in order to discover knowledge in the veterinary medicine domain. In ge...
Svitlana Volkova, Doina Caragea, William H. Hsu, J...
BMCBI
2007
171views more  BMCBI 2007»
13 years 7 months ago
An open source infrastructure for managing knowledge and finding potential collaborators in a domain-specific subset of PubMed,
Background: Identifying relevant research in an ever-growing body of published literature is becoming increasingly difficult. Establishing domain-specific knowledge bases may be a...
Wei Yu, Ajay Yesupriya, Anja Wulf, Junfeng Qu, Mui...
ICAI
2007
13 years 9 months ago
Domain Ontology Construction from Biomedical Text
- NLM's Unified Medical Language System (UMLS) is a very large ontology of biomedical and health data. In order to be used effectively for knowledge processing, it needs to be...
Saurav Sahay, Baoli Li, Ernest V. Garcia, Eugene A...
IEAAIE
2010
Springer
13 years 5 months ago
Hierarchical Topic-Based Communities Construction for Authors in a Literature Database
In this paper, given a set of research papers with only title and author information, a mining strategy is proposed to discover and organize the communities of authors according to...
Chien-Liang Wu, Jia-Ling Koh