Joshua Shinavier

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I am a PhD student in Computer Science in the Tetherless World Constellation, as well as a very active software developer. My interests center on real-time semantics, RDF streams and graph databases. I am the creator of the Ripple scripting language, the TwitLogic semantic microblogging utility, and the RDFAgents protocol. I also co-founded the TinkerPop graph database group, where I contribute tools which bridge the gap between the Semantic Web and NoSQL databases. My work has been featured in ReadWriteWeb and New Scientist. Please check out my Slideshare presentations, my GitHub page, or my personal homepage for more details.

Erickson, J.S., Viswanathan, A., , ., Shi, Y., and Hendler, J. 2013. Open Government Data: A Data Analytics Approach. IEEE Intelligent Systems, pages 19–23.
Ding, L., , ., Shangguan, Z., and McGuinness, D.L. 2010. SameAs Networks and Beyond: Analyzing Deployment Status and Implications of owl:sameAs in Linked Data. In Proceedings of ISWC 2010 (November 7-11 2010, Shanghai, China).
, . 2010. Real-time #SemanticWeb in <= 140 chars. In Proceedings of WWW 2010 (April 26-30 2010, Raleigh Convention Center, Raleigh, NC, US).
Ding, L., , ., Finin, T.W., and McGuinness, D.L. 2010. owl:sameAs and Linked Data: An Empirical Study. In Proceedings of Web Science Conference 2010 (April 26-27 2010, Raleigh, North Carolina).
Luo, X. and , . 2009. Entropy-based metrics for evaluating schema reuse. In Proceedings of Asian Semantic Web Conference 2009 (December 7-9 2009).
Luo, X. and , . 2009. MultiRank: Reputation Ranking for Generic Semantic Social Networks. In Proceedings of International Workshop on Motivation and Incentives on the Web 2009 (April 20-24 2009).
, . 2007. Ripple: Functional Programs as Linked Data. In Proceedings of 3rd Workshop on Scripting for the Semantic Web (June 6 2007).
, . 2007. Functional Programs as Linked Data. In Proceedings of 3rd Workshop on Scripting for the Semantic Web (June 6 2007).


Project CO-PI

TWC Project LogoTWC Vocabulary Development (TWC_Schemas)
Principal Investigator: Jim Hendler
Co Investigator:
Description: provides a collection of schemas — html tags — that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google, Yahoo! and Yandex rely on this markup to improve the display of search results, making it easier for people to find the right web pages. Since early 2012 researchers at TWC RPI have been working with government and research data providers to define vocabularies for expressing the structured data that powers their web sites, using on-page markup based on vocabularies. In particular, we developed the extension, a concise vocabulary that extends for describing datasets and data catalogs. Current work includes applying Dataset to scientific datasets and developing new extensions for use by Web Observatories