This book constitutes the refereed proceedings of the International Workshop on Knowledge Discovery in Life Science Literature, KDLL 2006, held in Singapore in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006).
The 12 revised full papers presented together with two invited talks were carefully reviewed and selected for inclusion in the book. The papers cover all topics of knowledge discovery in life science data such as text mining, identification and retrieval of documents, passage retrieval, co-reference resolution, extraction of life science entities or relationships from large collections, automated characterization of biological, biomedical and biotechnological entities and processes, extraction and characterization of more complex patterns and interaction networks, automated generation of text summaries, automated construction, expansion and curation of ontologies for different domains, and construction of controlled vocabularies.
Author(s): He Tan, Vaida Jakonienė, Patrick Lambrix (auth.), Eric G. Bremer, Jörg Hakenberg, Eui-Hong (Sam) Han, Daniel Berrar, Werner Dubitzky (eds.)
Series: Lecture Notes in Computer Science 3886 : Lecture Notes in Bioinformatics
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006
Language: English
Pages: 147
Tags: Database Management; Artificial Intelligence (incl. Robotics); Information Storage and Retrieval; Bioinformatics; Probability and Statistics in Computer Science; Health Informatics
Front Matter....Pages -
Alignment of Biomedical Ontologies Using Life Science Literature....Pages 1-17
Improving Literature Preselection by Searching for Images....Pages 18-28
Headwords and Suffixes in Biomedical Names....Pages 29-41
A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature....Pages 42-52
Recognizing Biomedical Named Entities Using SVMs: Improving Recognition Performance with a Minimal Set of Features....Pages 53-67
Investigation of the Changes of Temporal Topic Profiles in Biomedical Literature....Pages 68-77
Extracting Protein-Protein Interactions in Biomedical Literature Using an Existing Syntactic Parser....Pages 78-90
Extracting Named Entities Using Support Vector Machines....Pages 91-103
Extracting Initial and Reliable Negative Documents to Enhance Classification Performance....Pages 104-111
Detecting Invalid Dictionary Entries for Biomedical Text Mining....Pages 112-122
Automated Identification of Protein Classification and Detection of Annotation Errors in Protein Databases Using Statistical Approaches....Pages 123-138
GetItFull – A Tool for Downloading and Pre-processing Full-Text Journal Articles....Pages 139-145
Back Matter....Pages -
