Data Integration Technologies -- Combining Multiple Knowledge Sources: A Case Study of Drug Induced Liver Injury -- Vidal, Elena Zotkina, and Louiqa Raschid GEM: The GAAIN Entity Mapper -- Data Integration in the Human Brain Project -- SchizConnect: Virtual Data Integration in Neuroimaging -- Ontology and Knowledge Engineering for Data Integration Annotating Medical Forms Using UMLS -- OnSim: A Similarity Measure for Determining Relatedness Between Ontology Terms -- AnnEvol: An Evolutionary Framework to Description Ontology-Based Annotations -- Terminology Development Towards Harmonizing Multiple Clinical Neuroimaging Research Repositories -- Creating Biomedical Ontologies Using mOntage -- Creation of Definitions for Ontologies: A Case Study in the Leukemia Domain -- Biomedical Data Standards and Coding Integration of Hematopoietic Cell Transplantation Outcomes Data: Data Standards Are Not Enough -- ICD Code Retrieval: Novel Approach for Assisted Disease Classification -- Medical Research Applications -- Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury -- SVI: A Simple Single-Nucleotide Human Variant Interpretation Tool for Clinical Use -- Quality Control Considerations for the Effective Integration of Neuroimaging Data -- Integration of Behavioral, Structural, Functional, and Genetic Data for the Study of Autism Spectrum Disorders -- Reverse Engineering Measures of Clinical Care Quality: Sequential Pattern Mining -- Inference and Verification of Probabilistic Graphical Models from High-Dimensional Data -- SPIRIT-ML: A Machine Learning Platform for Deriving Knowledge from Biomedical Datasets -- Demonstration: Mining Sentence and Annotation Evidence for a Cross Genome Study of the Plant Hormone Ethylene -- Graduate Student Consortium -- GAAIN Virtual Appliances: Virtual Machine Technology for Scientific Data Analysis -- The GAAIN Entity Mapper: Towards Practical Medical Informatics Application -- Efficient Management of Cached Data in the Global Alzheimer’s Association Interactive Network -- Domain Specific Document Retrieval Framework for Real-Time Social Health Data.