PPT-Semantic Proximity Search on

Graphs with Metagraph based Learning Yuan Fang 1 Wenqing Lin 1 Vincent Zheng 2 Min Wu 1 Kevin Chang 23 XiaoLi Li 1 ICDE 2016 Helsinki 1 Institute for Infocomm. daquin emottaopenacuk Abstract In this tool report we present an overview of the Watson system a Semantic Web search engine providing various functionalities not only to 64257nd and locate ontologies and semantic data online but also to explore the c Rob Diaz-Marino, Interactions Lab. rob.diazmarino@gmail.com. Overview. Premise of Proximity Toolkit. The Home Space. Intro to . Vicon. System. Intro to Proximity Server. Proximity Data Model. Presence Properties. Dominic Oldman. Peter . Haase. Creating the Cultural Heritage Knowledge Graph. ResearchSpace. Project. Goals and context. ResearchSpace. Platform. m. etaphacts. Knowledge Graph Platform. Brief demo. Tutorial. Introduction. Miriam Fernandez | KMI, Open University, UK. Thanh Tran | Institute AIFB, KIT, DE. Peter Mika| Yahoo Research, Spain. Search . Document Retrieval vs. Data Retrieval. Differences of search technologies. is a . sensor.  able to detect the presence of nearby objects without any physical contact.. How do the work . The object being sensed is often referred to as the proximity sensor's . target. Pulsing out a signal and receiving an input from it’s output. Dominic Oldman. Peter . Haase. Creating the Cultural Heritage Knowledge Graph. ResearchSpace. Project. Goals and context. ResearchSpace. Platform. m. etaphacts. Knowledge Graph Platform. Brief demo. Dominic Oldman. Peter . Haase. Creating the Cultural Heritage Knowledge Graph. ResearchSpace. Project. Goals and context. ResearchSpace. Platform. m. etaphacts. Knowledge Graph Platform. Brief demo. 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. Opportunities. April 2015. Search – . Where we were!. https://pbs.twimg.com/media/B1sh79LIEAAR4Hg.jpg:large. https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ5sTW2_hPnqpRVmpHW2L4FFJ9SPuDaNF8TCTvH7xqUNXeo8Cqj-A. PRESENTED BY . Peter Mika, Sr. Research Scientist, Yahoo Labs. . ⎪ . November 27, . 2014 . The Semantic Web (2001-). 11/27/14. 2. Part of Tim . Berners-Lee’s . original proposal . for the . Web. 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. Sequential Question Answering. Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang. ACL-2017. Challenging research problem. Advocated in semantic parsing. [Pasupat & Liang 2015]. But, a . natural. way to interact with a question answering system?. Ph.D. (Aug . ’. 12). Melbourne University, Australia. Resource allocation in interconnected distributed systems . Academic Appointments. Assistant Professor at UL (Aug ’14 – present). University of Miami (Aug ’13 – Aug ’14). C. Binding, K. May. 1. , R. Souza, D. Tudhope, A. Vlachidis. Hypermedia Research Unit, University of Glamorgan. 1. English Heritage. STAR Project - Aims. In. vestigate semantic technologies for integrating and cross searching datasets and associated grey literature.