PPT-Semantic Similarity over Gene Ontology for

Multilabel Protein Subcellular Localization Shibiao WAN and ManWai MAK The Hong Kong Polytechnic University SunYuan KUNG Princeton University Outline Introduction and Motivation Retrieval of GO Terms. Corpora and Statistical Methods. Lecture 6. Semantic similarity. Part 1. Synonymy. Different phonological. /orthographic. words. highly related meanings. :. sofa / couch. boy / lad. Traditional definition:. medical dictations. Stefan Petrik . , . Christina . Drexel, . Leo Fessler . , . Jeremy Jancsary . , . Alexandra Klein . ,Gernot . Kubin . , . Johannes Matiasek . , . Franz Pernkopf . , . Harald . Trost. A Resource for Plant Genomics. www.plantontology.org. Laurel Cooper. Department of Botany and Plant Pathology. Oregon State University, Corvallis, OR. The Plant Ontology. - A Collaborative Effort. Cell Ontology. and plant phenotypes. George . Gkoutos. Phenotype And Trait Ontology (PATO). The meaningful cross . species and across domain . translation of phenotype is essential .  . phenotype-driven gene function discovery and comparative pathobiology . . Session. Thursday. Sep. 17. Dr. Paola Grosso. Assistant Professor. SNE . group. - UvA. p.grosso@uva.nl. Dr. . Ilya. . Baldin. . Director. , Networking Research . and. . Infrastructure. . RENCI. Mediation Bus™: An Ontology-based Runtime Infrastructure for Service Interoperability. alionscience.com/semantic. Agenda. Background: SOA and Semantic Technology. Semantic Service Provisioning. Semantic Mediation. Towards Bridging Semantic Gap and Intention Gap in Image Retrieval. Hanwang. Zhang. 1. , . Zheng. -Jun Zha. 2. , Yang Yang. 1. , . Shuicheng. Yan. 1. , . Yue. Gao. 1. , Tat-. Seng. Chua. 1. 1: National University of Singapore. From Semantic Web Programming by J. . Hebeler. et al., . Semantic Web. Represents data in formats amenable to automated processing, integration, and reasoning. . Data is king and it provides even greater value when connected with other data sources to create a linked data web. . . . j.pinney@imperial.ac.uk. . Gene annotation. . . G. oal: . . transfer . knowledge . about the function of gene products from model . organisms . to other genomes. . . Gene annotation. Nigam Shah. nigam@stanford.edu. High throughput data. “high throughput” is one of those fuzzy terms that is never really defined anywhere. Genomics data is considered high throughput if:. You can not “look” at your data to interpret it. Movement led by W3C that promotes common formats for data on the web. Describes things in a way that computer applications can understand it. Describes the relationship between things and properties of things. Xiangen . Hu. CCNU & . UoM. Agenda. Introduction. Basic semantic comparison techniques. Examples . of semantic spaces. A general framework. A few . applications. Hands-. on . （. if time permits). By:Priya Wadhwa. Major professor:Dr. Arpinar. Committee:Dr. Ramaswamy. Dr. Taha. Outline. Introduction. Motivation. Goals. System Overview. System Workflow. Pillars. Match Making Overview. The idea of similarity-based approach to gene prediction . Exon Chaining Problem. Spliced Alignment Problem. Gene Prediction. Computational problem of predicting the locations of genes in a genome given only the genomic DNA sequence (gene is broken into pieces called as exons that are separated by junk NDA/introns)..