Genescene: Biomedical Text And Data Mining

To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from text and experimental data. These provide a more detailed overview of the information available. The extracted relations were evaluated by qualified researchers and are precise. A qualitative evaluation of the current online interface indicates that this form of searching is more useful and efficient than keyword based searching. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – Information Filtering, Retrieval Models, Search Process, and Selection Process. General Terms Algorithms Keywords Natural Language Processing, NLP, Deep Semantic Parsing, Biomedicine, Ontology, Rule-based, Corpus-based, Genescene.

• Type: Conference
• Year: 2003
• Where: JCDL
• Authors: Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Shauna Eggers, Ryan R. Falsey, Kerri L. Kislin, Zan Huang, Jiexun Li, Jennifer Jie Xu, Daniel McDonald, T. Gavin Ng
• Keywords: Deep Semantic Parsing, Extracted Relations, JCDL 2003, Terms Algorithms Keywords