PDF-DIZI: A Digital Ink Zooming Interface for Document Annotation Maneesh

httpresearchmicrosoftcom Fig 1 Digital ink annotations are usually much larger and sloppier than real ink annotations on paper As a result digital annotations may be difficult to read especi. . Jacky Swan. 25. rd. November 2011. . What I will talk about. The challenges of the research context knowledge intensive work across nations. Example research study. Doing. the research. Much theory on KIFs/globalization. Introduction. H. ow do you see a . L. arge . I. mage . within a . L. imited . S. creen?. A successful answer. A main screen to display part of the image. A sub window to display the entire image. Interaction. Interactivity is what distinguishes Information Visualization from fixed (static) visualizations of the past. . Analysis is a process, often iterative, with branches and sideways paths. It is very different from fixed message. It is not controlled or pre-planned.. 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. . Philip . McParlane. , Yashar Moshfeghi and Joemon M. Jose. University of Glasgow, UK. http://www.dcs.gla.ac.uk/~philip/. p.mcparlane.1@research.gla.ac.uk. Motivation for annotating images. Problems with existing automatic image annotation collections. 2. n-gram language model. 3. classifier. Studying Humour Features - Bolla, Whelan. Guidelines. define tags and describe how they should be applied. Data. 500 reviews of varying length (>7300 sentences). Introduction. H. ow do you see a . L. arge . I. mage . within a . L. imited . S. creen?. A successful answer. A main screen to display part of the image. A sub window to display the entire image. RuSSIR Young Scientist Conference,. 24-28| 2015| St. Petersburg, Russia. Arshad Khan. School of Electronics & Computer Science,. University of Southampton, UK. Overview. Searching in online repositories of multidisciplinary research data is becoming a challenge due to the volume and types of data being published every year. 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). ConceptRank. Petra Budíková, Michal Batko, Pavel Zezula. Outline. Search-based annotation. Motivation. Problem formalization. Challenges. ConceptRank. Idea. Semantic network construction. PageRank and ConceptRank. Loralee Chevone-Garrett and Beth Dibble. ANNOTATION IS NOT. A coloring assignment. A detailed analysis. Exact or correct. Busy work. Teacher-centered. WHAT IS ANNOTATION?. RESEARCH SAYS.... A writing-to-learn strategy for use while reading and rereading.. Nick Waggoner . Program . Manager . Reed Townsend . Program Manager. Microsoft Corporation. APP-185T. Agenda. Introduction and overview of touch. Scrolling and zooming. Pointer and gesture events. Integrating all the parts.