PPT-Scalable Integration and Processing of Linked Data

Author : trish-goza | Published Date : 2016-05-28

Andreas Harth Aidan Hogan Spyros Kotoulas Jacopo Urbani Outline Session 1 Introduction to Linked Data Foundations and Architectures Crawling and Indexing Querying

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Scalable Integration and Processing of Linked Data: Transcript


Andreas Harth Aidan Hogan Spyros Kotoulas Jacopo Urbani Outline Session 1 Introduction to Linked Data Foundations and Architectures Crawling and Indexing Querying Session 2 Integrating Web Data with Reasoning. 1 Data Integration Trends 2 Oracle Data Integrator Enterprise Edition 2 OWBEE 11gR2 Data Integration Enhancements 3 Code Template Mappings Using ODI Knowledge Modules 3 Change Data Capture Mappings CS255971A Arizona ►1 linked to cream facility Oklahoma ►1 linked to cream facility Listeria found cream products Oklahoma facility where they were made LISTERIA AND BLUE BELL ICE CREAM 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. 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. MapReduce. Karim Ibrahim. Anh Pham. 1. Outline. Motivation & Introduction. Benchmarking . study. Optimizing . Hadoop. Motivation. 3. Motivation (. cont. ’). Motivation. :. MapReduce. model is not well suited for one pass analytics.. 1/5/12. 1. UVIS Team Meeting. Problem description. No match between the FUV data and the minimum ray high from geometer.. several seconds discrepancy.. Good match of the HSP data with geometer.. We were expecting 379 integrations and only 371 could be found in DAPS.. 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). Byungchul. Hong. , . Gwangsun. Kim, John Kim. Jung Ho . Ahn. Yongkee. Kwon, . Hongsik. Kim. D. 1. ptr. D. 2. ptr. D. new. ptr. A collection of data elements of any type by chaining. node : data pointer. 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 . 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. Adrian Stevenson. UKOLN, University of Bath, UK (until end Dec 2011). Mimas. , Libraries and Archives Team, University of Manchester, UK (from Jan 2012). Semantic Web in . Bibliotheken. 2011. Hamburg, Germany. COS 418: Distributed Systems. Lecture . 14. Wyatt Lloyd. Consistency Hierarchy. Linearizability. Sequential Consistency. Causal+ Consistency. Eventual Consistency. e.g., RAFT. e.g., Bayou. e.g., Dynamo. 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... Large scale computing systems. Scalability . issues. Low level and high level communication abstractions in scalable systems. Network interface . Common techniques for high performance communication.

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