PROV-JSONLD: A JSON and Linked Data Representation for Provenance Trung Dong Huynh, Danius T. Michaelides, and Luc Moreau Electronics - Web Services Resource Framework - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2016-06-08 05:16:06 Markup languages Semantic Web Resource Description Framework JSON JSON-LD Web services Turtle Named graph Provenance Ion		PROV-JSONLD: A JSON and Linked Data Representation for Provenance Trung Dong Huynh, Danius T. Michaelides, and Luc Moreau Electronics & Computer Science, University of Southampton, UK Contact: INTROD Add to Reading List Source URL: eprints.soton.ac.uk Download Document from Source Website File Size: 228,46 KB Share Document on Facebook

	Information Diffusion and Provenance of Interactions in Twitter: Is it only about Retweets? Io Taxidou* Peter M. Fischer* Tom De Nies‡ DocID: 1xVN1 - View Document
	Stabilizing Floating-Point Programs Using Provenance Analysis Yijia Gu(B) and Thomas Wahl College of Computer and Information Science, Boston, USA {guyijia,wahl}@ccs.neu.edu DocID: 1xTsE - View Document
	Privacy-Preserving Network Provenance Yuankai Zhang Adam O’Neill Georgetown University DocID: 1vr8Y - View Document
	Knowing Where Your Input is From: Kernel-Level Data-Provenance Verification ? Deian Stefan1 , Chehai Wu2 , Danfeng (Daphne) Yao3 , and Gang Xu4 DocID: 1vkvT - View Document
	Using Trust and Provenance for Content Filtering on the Semantic Web Jennifer Golbeck Aaron Mannes DocID: 1vc6k - View Document