PDF-Detecting Errors in Numerical Linked Data using CrossC
Author : pamella-moone | Published Date : 2015-05-23
unimannheimde Abstract Outlier detection used for identifying wrong values in data is typically applied to single datasets to search them for values of un expected
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Detecting Errors in Numerical Linked Data using CrossC: Transcript
unimannheimde Abstract Outlier detection used for identifying wrong values in data is typically applied to single datasets to search them for values of un expected behavior In this work we instead propose an approach which combines the outcomes of tw. 10 G12000462 APRIL 2012 Dell Reliable Memory Technology Detecting and isolating memory errors THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY AND MAY CONTAIN TYPOGRAPHICAL ERRORS AND TECHNICAL INACCURACIES THE Jentery Sayers. Assistant Professor, English. Director, Maker Lab in the Humanities. University of Victoria. @jenterysayers. | jentery@. uvic.ca. MLA Convention 2013 | Boston . Today, with “Avenues of Access” in mind: . Incubator Group. Preliminary . results. 2 June 2011. W3C Library Linked Data Incubator Group. Chartered May 2010 thru August 2011. Members here at LOD-LAM:. Antoine Isaac (co-chair), Tom Baker (co-chair), Jodi Schneider, Hideaki Takeda, . Gordon . Dunsire. Presented at CILIP RDA: Resource Description and Access Executive Briefing 2014, 12 June . 2014, London. Overview. Linked data 101. RDA entities and relationships. RDA and linked data. ISD Spotlight. Presented by Alison Hitchens. 2013. Objective. To introduce the concept of linked data without too much technical stuff!. (because every conference you attend these days mentions linked data or linked open data or linked library data or linked open library data!). for Libraries, Archives, Museums. Learning objectives. Define the concept of linked data. State 3 benefits of creating linked data and making it available. Outline the process of creating LD. State how to make use of LD created by others. Gordon Dunsire. Presented to RDA Forum, ALA Annual, Orlando, USA, June 25, 2016. Toolkit full example: flat file (no links). Toolkit full example: r-balls (linked data). Toolkit full example: RIMMF (linked data). Module 1 - . Part . 1. The . Semantic Web and Linked Data . Concepts: . A . basic overview . . 1-. 1. Library of . Congress. BIBFRAME Pilot Training . for Catalogers. Overview. Context . Goals . of the . Gordon Dunsire. UKSG webinar, 5 July 2016. Overview. A basic introduction to data structures: triples, chains, and clusters. What is a linked data record?. Global, multilingual linked data. Linking data from multiple sources. Results from the SEMICOLON II project. Per Myrseth, DNVKEMA. , Intelligent Networks & Communication . IFIP EGOV 2012, 3-5 September. Agenda. Introduction. Context. Motivation. Terms. Research question. Somesh. Kumar Malhotra. Lecturer,ECE. . Deptt.,UIET,CSJM. University. Absolute Error. Relative Error. Percentage Error. Limiting or . G. aurantee. errors. Numerical. Numerical. Numerical. Numerical. COS . 463. : Wireless . Networks. Lecture . 8. Kyle Jamieson. Bit errors on links. Links in a network go through . hostile environments. Both wired, and wireless:. Consequently, . errors will occur on links. Tyler Smith, Robert van de Geijn, Mikhail Smelyanskiy, . Enrique Quintana-Ort. í. 1. Introduction. Soft errors:. T. ransient hardware failures . C. aused by high-energy particle incidence.. Cause crashes, and numerical errors. Ralph LeVan. Sr. Research Scientist. OCLC Research. What is Linked Data?. Simple answer:. “The term Linked Data is used to describe a . method. of exposing, sharing, and connecting data via dereferenceable URIs on the Web.” – Wikipedia...
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