Title
Overview of SIMBig 2017: 4th Annual International Symposium on Information Management and Big Data
Date Issued
01 January 2017
Access level
metadata only access
Resource Type
conference paper
Author(s)
University of Florida
Publisher(s)
CEUR-WS
Abstract
SIMBig presents the analysis of new methods for extracting knowledge from large volumes of data through techniques of data science and artificial intelligence. SIMBig gathers national and international researchers in the data science field to state in new technologies dedicated to handle large amount of information.
Start page
12
End page
15
Volume
2029
Language
English
OCDE Knowledge area
Ciencias de la información
Scopus EID
2-s2.0-85040545398
Source
CEUR Workshop Proceedings
ISSN of the container
16130073
Sponsor(s)
Dr. Han is currently the co-Director of KnowEnG, a Center of Excellence in Big Data Computing, funded by NIH Big Data to Knowledge (BD2K) Initiative. He also served in 2009-2016 as the Director of Information Network Academic Research Center (INARC) supported by the Network Science-Collaborative Technology Alliance (NS-CTA) program of U.S. Army Research Lab.
She is a recipient of various awards including of the NSF Career Award, the MIT Technology Review TR-35 Award, Microsoft Faculty Fellowship and several Best Paper Awards at NAACL and ACL. She received her PhD in Computer Science from Columbia University, and spent a year as a postdoc at Cornell University
Dr. Mark Musen is Professor of Biomedical Informatics and of Biomedical Data Science at Stan- ford University, where he is Director of the Stanford Center for Biomedical Informatics Research. Dr. Musen conducts research related to intelligent systems, reusable ontologies, metadata for publication of scientific data sets, and biomedical decision support. His group developed Protégé, the world’s most widely used technology for building and managing terminologies and ontologies. He is principal investigator of the National Center for Biomedical Ontology, one of the original National Centers for Biomedical Computing created by the U.S. National Institutes of Heath (NIH). He is principal investigator of the Center for Expanded Data Annotation and Retrieval (CEDAR). CEDAR is a center of excellence supported by the NIH Big Data to Knowledge Initiative, with the goal of developing new technology to ease the authoring and management of biomedical experimental metadata.
Sources of information:
Directorio de Producción Científica
Scopus