'Sparql query' diaporamas de présentation

More on SPARQL

1.24k views • 101 slides

Agent-based E-commerce System

Agent-based E-commerce System. Maria Ganzha Marcin Paprzycki http://agentlab.swps.edu.pl. Agent-based E-commerce System. 1. Introduction. Assumptions. Modelling a distributed marketplace ? Internet e-buyers visit e-shops with a desire to purchase products

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gStore: Answering SPARQL Queries Via Subgraph Matching

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Privacy Framework for RDF Data Mining

710 views • 51 slides

Extending SPARQL to Support Spatially and Temporally Related Information

Extending SPARQL to Support Spatially and Temporally Related Information. Prateek Jain, Amit Sheth Peter Z. Yeh, Kunal Verma Kno.e.sis, Accenture Technology Labs Wright State University, San Jose, CA

567 views • 43 slides

Efficient SPARQL Query Processing in MapReduce through Data Partitioning and Indexing

Efficient SPARQL Query Processing in MapReduce through Data Partitioning and Indexing. Nie Zhi niezhixuesen@163.com. Outline. Introduction Related work SPARQL Query Processing in MapReduce Experiments Conclusion. Outline. Introduction Related work SPARQL Query Processing in MapReduce

538 views • 42 slides

gStore: Answering SPARQL Queries Via Subgraph Matching

511 views • 40 slides

Publishing and Interacting with Linked Data

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SPARQL Query Rewriting for Implementing Data Integration over Linked Data

SPARQL Query Rewriting for Implementing Data Integration over Linked Data. Gianluca Correndo, Manuel Salvadores, Ian Millard, Hugh Glaser, Nigel Shadbolt. Linked Data access. Retrieving RDF content via HTTP requests Instance based vs. schema based access Accessing SPARQL endpoints

445 views • 29 slides

Neighborhood Based Fast Graph Search In Large Networks

Neighborhood Based Fast Graph Search In Large Networks. Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan Computer Science UC Santa Barbara { arijitkhan , nanli , xyan , ziyuguan }@ cs.ucsb.edu. Shu Tao IBM TJ Watson shutao@us.ibm.com. Supriyo Chakraborty UC Los Angeles

461 views • 28 slides

WP3: Data Provenance and Access Control

WP3: Data Provenance and Access Control. Giorgos Flouris, Irini Fundulaki, Vassilis Papakonstantinou, FORTH September 9-10, 2013, Heraklion. Presentation Outline. WP3 status and outline Research achievements D3.2 status Review comments Health use case description Demo

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SPARQL Query Graph Model (How to improve query evaluation?)

357 views • 24 slides

SPARQL

SPARQL. Shima Dastgheib Mehdi Allahyari. CSCI 8370 Advanced Database Systems Spring 2012. Presentation outline. Brief introduction to RDF triple pattern SPARQL Introduction to SPARQL How to write a SPARQL query? (Demo)

458 views • 23 slides

SPARQL

SPARQL. Shima Dastgheib Mehdi Allahyari. CSCI 8370 Advanced Database Systems Spring 2012. Presentation outline. Brief introduction to RDF triple pattern SPARQL Introduction to SPARQL SPARQL by example write a SPARQL query from the scratch? (Demo)

478 views • 22 slides

A SQL-based Approach for Mapping Relational Data to RDF

A SQL-based Approach for Mapping Relational Data to RDF. Souripriya Das and Seema Sundara Database Semantic Technologies Group, Oracle.

322 views • 19 slides

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NCOIC-NGA Demonstration of Demonstrations

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StormRider: Harnessing “Storm” for Social Networks

StormRider: Harnessing “Storm” for Social Networks. Social Network Applications. CHANGE IS A CONSTANT !!. How do you keep up with the current trends and important nodes in an ever-changing network??. How do you lookup previous versions of a network?.

225 views • 10 slides

Use of Python for VIVO Application Programming

Making Reports. Why Python?. Useful Libraries. Adding Papers to VIVO. def counts(s,log,trim=100000000): names = ["Date","Process","User","ADD/SUB","Subject","Predicate","Object"] ix = names.index(s) print "Counts of "+s things = {} for row in log: try:

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Background and Aims

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