PPT-A Scalable Framework for the Collaborative Annotation of Li
Author : jane-oiler | Published Date : 2017-10-31
Thesis Proposal Tao Huang taohuangcsindianaedu Outline Introduction Motivation Related System Survey Research Issues Milestones Contributions Introduction Annotation
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A Scalable Framework for the Collaborative Annotation of Li: Transcript
Thesis Proposal Tao Huang taohuangcsindianaedu Outline Introduction Motivation Related System Survey Research Issues Milestones Contributions Introduction Annotation Definitions A commentary on an object that Cousins et al 2000. Thesis Proposal. Tao Huang. taohuang@cs.indiana.edu. Outline. Introduction. Motivation. Related System Survey. Research Issues. Milestones. Contributions. Introduction. Annotation Definitions. A commentary on an object that: (Cousins et al. 2000). BCB 660. October 20, 2011. From Carson Holt. Annotations. Automated. Ab. initio. (based on genomic sequence alone). Involves comparisons to known proteins (BLAST similarity). Sequence motifs such as start/stop . PropBank. . Outline. Introduction to the project. Basic linguistic concepts. Verb & Argument. Making information explicit. Null arguments. Tasks to be carried out. Timesheets, tips. Creation of Resources. Triplets to Sentence Fingerprints. Motivation. . Scientific concepts are annotated with controlled vocabulary (CV) terms from ontologies such as Gene Ontology (GO) and Plant Ontology (PO). . Our Arabidopsis specific tool - . Abstract. A large number of organizations today generate and share textual descriptions of their products, services, and actions. Such collections of textual data contain significant amount of structured information, which remains buried in the unstructured text. While information extraction algorithms facilitate the extraction of structured relations, they are often expensive and inaccurate, especially when operating on top of text that does not contain any instances of the targeted structured information. . A Close Reading Strategy for Better Comprehension. Text Annotation by Teachers. What is Text Annotation?. While reading, students mark the pages for . Important information. Text meaning or key details. Authors: Joe Futrelle, Amber York. . @ Woods Hole Oceanographic Institution. Imaging FlowCytobot. (Heidi Sosik et al). HabCam. (Scott . Gallager. et al). SeaBED. (. Hanumat. Singh et al). Phytoplankton . ConceptRank. Petra Budíková, Michal Batko, Pavel Zezula. Outline. Search-based annotation. Motivation. Problem formalization. Challenges. ConceptRank. Idea. Semantic network construction. PageRank and ConceptRank. Text Annotation by Teachers. What is Text Annotation?. While reading, students mark the pages for . Important information. Text meaning or key details. Ideas and questions. What About Highlighters?. Petra Bud. íková, FI MU. CEMI meeting, Plze. ň. , 1. 6. . . 4. . 2014. Formalization. The annotation problem is . defined by a . query image . I. . and a . vocabulary . V. of candidate concepts. Iterative Local Searches. Martin . Burtscher. 1. and Hassan Rabeti. 2. 1. Department of Computer Science, Texas State University-San Marcos. 2. Department of Mathematics, Texas State University-San Marcos. Lecture 3. Gene Finding and Sequence Annotation. Objectives of this lecture. Introduce you to basic concepts and approaches of gene finding. Show you differences between gene prediction for prokaryotic and eukaryotic genomes. Tao Huang, . Shrideep. . Pallickara. , Geoffrey Fox. Community Grids Lab. Indiana University, Bloomington. . {. taohuang. , . spallick. , . gcf}@indiana.edu. Outline. Analysis of existing Collaboration and Annotation Systems. Omeka. Mikhail Livshits. Install. Download . the plugin at . http://omeka.org/add-ons/plugins/image-annotation. /. Upload folder to /. omeka. /plugins. Configure. Log in to . Omeka. Admin . Manage Plugins Configure (next to Image Annotation.
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