PPT-Scalable Image Annotation with

ConceptRank Petra Budíková Michal Batko Pavel Zezula Outline Searchbased annotation Motivation Problem formalization Challenges ConceptRank Idea Semantic network construction PageRank and ConceptRank. 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). 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. 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. . GO editors agreed on C16 relations . QuickGO graph of relations much less flat. 32. 51. Progress on Annotation extension relations. David OS transferred all . C16 relations . Wiki pages to . GitHub. and created new pages. 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). 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?. The Next Generation. Rashmi. Prasad, Bonnie . W. ebber, . A. lan Lee. *. Aravind. Joshi. Outline. Introduction. Discourse Coherence and its annotation. PDTB Basics. PDTB enrichment. Motivation. New relations. 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. (ideas for . joint journal paper). CEMI meeting, Praha, 14. 3. 2014. Outline. Introduction. Why annotations?. State-of-the-art in multimedia annotation. Search-based image annotation. What. . we. . 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. Benefit #1 of annotation: . helps you to stay . awake. We all know that sometimes the reading selections can be a tad bit boring right…….. Annotating the text keeps your . brain. . working. . and it keeps you . Uri Avni , Tel Aviv University, Israel. Hayit. Greenspan Tel Aviv University, Israel. . Jacob Goldberger Bar . Ilan. University, Israel. Outline. Challenge description. Proposed system. Image representation.