A Scalable Architecture for Extracting, Aligning, Linking, and Visualizing Multi-Int Data

A Scalable Architecture for Extracting, Aligning, Linking, and Visualizing Multi-Int Data. Knoblock, C. A. & Szekely, P. In SPIE Sensing Technology+ Applications, 2015. International Society for Optics and Photonics, SPIE, 9499.

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@inproceedings{knoblock2015:spie,
	author = {Craig A. Knoblock and Pedro Szekely},
	title = {A Scalable Architecture for Extracting, Aligning, Linking, and Visualizing Multi-Int Data},
	booktitle={SPIE Sensing Technology+ Applications},
	organization={International Society for Optics and Photonics},
	year = {2015},
	Publisher = {SPIE, 9499},
	urlPaper = {http://usc-isi-i2.github.io/papers/knoblock15-spie.pdf},
	urlLink= {http://spie.org/Publications/Proceedings/Paper/10.1117/12.2177119},
	urlSlides= {http://www.slideshare.net/CraigKnoblock/a-scalable-architecture-for-extracting-aligning-linking-and-visualizing-multiint-data?qid=6ef51aeb-7bb3-424f-afdf-c0a18da96a02&v=&b=&from_search=1},
	Keywords = {"big data, information integration, analysis, visualization"}
	}

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