Dominic DiFranzo

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Dominic DiFranzo
Contact Info
Emaildifrad@rpi.edu

Interests: Web Science

PhD Computer Science student working on the Semantic Web, Social Machines and Linked Open Data

Publications:
Bulazel, A., DiFranzo, D., Erickson, J.S., and Hendler, J. 2015. The Importance of Authoritative URI Design Schemes for Open Government Data. International Journal of Public Administration in the Digital Age (IJPADA)
Poirier, L., DiFranzo, D., and Gloria, K. 2014. Light structure in the Platform for Experimental Collaborative Ethnography. In Proceedings of Web Science Conference 2014 (June 23-26 2014, Indiana University, Bloomington, IN, US).
DiFranzo, D., Erickson, J.S., Gloria, K., McGuinness, D.L., and Luciano, J.S. 2014. Building Web Observatories for Health Web Science. In Proceedings of Web Science Conference 2014 (June 23-26 2014, Indiana University, Bloomington, IN, US).
Gloria, K., Erickson, J.S., Luciano, J.S., DiFranzo, D., and McGuinness, D.L. 2014. Legal and ethical considerations: step 1b in building a health web observatory. In Proceedings of WWW 2014 (April 7-11 2014, Seoul, South Korea), pages 1061–1066.
DiFranzo, D., Erickson, J.S., Gloria, K., Luciano, J.S., McGuinness, D.L., and Hendler, J. 2014. The Web Observatory Extension: Facilitating Web Science Collaboration through Semantic Markup. In Proceedings of WWW 2014 (April 7-11 2014, Seoul, South Korea), pages 475–480.
Fernando Navarro, M., DiFranzo, D., and Gloria, K. 2013. Multiple Truths of the Semantic Web. In Proceedings of Web Science Conference 2013 (May 2-4 2013, Paris, France).
McCusker, J., Lebo, T., Graves, A., DiFranzo, D., Pinheiro, P., and McGuinness, D.L. 2012. Functional Requirements for Information Resource Provenance on the Web. In Proceedings of International Provenance and Annotation Workshop 2012 (June 18-22 2012, Santa Barbara, California).
Lebo, T., Erickson, J.S., Ding, L., Graves, A., Williams, G.T., DiFranzo, D., Li, X., Michaelis, J., Zheng, J., Flores, J., Shangguan, Z., McGuinness, D.L., and Hendler, J. Producing and Using Linked Open Government Data in the TWC LOGD Portal. In David Wood, editor, Linking Government Data, pages 51–72. New York, 2011. 10.1007/978-1-4614-1767-5_3
Wood, D. and Wood, D. 2011. Linking Government Data.
Lebo, T., Erickson, J.S., Graves, A., Williams, G.T., DiFranzo, D., Li, X., Michaelis, J., Zheng, J., Flores, J., Shangguan, Z., McGuinness, D.L., and Hendler, J. 2011. Producing and Using Linked Open Government Data in the TWC LOGD Portal. In Proceedings of AAAI Fall Symposium on Open Government Knowledge: AI Opportunities and Challenges 2011 (November 4-7 2011, Arlington VA).
Ding, L., Lebo, T., Erickson, J.S., DiFranzo, D., Williams, G.T., Li, X., Michaelis, J., Graves, A., Zheng, J., Shangguan, Z., Flores, J., McGuinness, D.L., and Hendler, J. 2011. TWC LOGD: A Portal for Linked Open Government Data Ecosystems. Journal of Web Semantics, pages 1–11.
DiFranzo, D., Graves, A., Erickson, J.S., Ding, L., Michaelis, J., Lebo, T., Patton, E.W., Williams, G.T., Li, X., Zheng, J., Flores, J., McGuinness, D.L., and Hendler, J. The Web is My Back-end: Creating Mashups with Linked Open Government Data. In David Wood, editor, Linking Government Data New York, 2011.
DiFranzo, D., Ding, L., Erickson, J.S., Li, X., Lebo, T., Michaelis, J., Graves, A., Williams, G.T., Zheng, J., Flores, J., Shangguan, Z., Gervasio, G., McGuinness, D.L., and Hendler, J. 2010. TWC LOGD: A Portal for Linking Open Government Data. In Proceedings of ISWC 2010 (November 7-11 2010, Shanghai, China).
Patton, E.W., DiFranzo, D., and McGuinness, D.L. 2010. SAF: A Provenance-tracking Framework for Interoperable Semantic Applications. In Proceedings of International Provenance and Annotation Workshop 2010 (June 15-16 2010, Hefner Alumni House, Rensselaer Polytechnic Institute, Troy, NY, US).
Ding, L., DiFranzo, D., Graves, A., Michaelis, J., Li, X., McGuinness, D.L., and Hendler, J. 2010. TWC data-gov corpus: incrementally generating linked government data from data.gov. In Proceedings of WWW 2010 (April 26-30 2010, Raleigh Convention Center, Raleigh, NC, US).
Ding, L., DiFranzo, D., Graves, A., Michaelis, J., Li, X., McGuinness, D.L., and Hendler, J. 2010. Data-gov Wiki: Towards Linking Government Data. In Proceedings of Linked Data Meets Artificial Intelligence (March 22-24 2010).
Ding, L., DiFranzo, D., Graves, A., Michaelis, J., Li, X., McGuinness, D.L., and Hendler, J. 2010. Data-govWiki: Towards Linking Government Data. In Proceedings of AAAI 2010 Spring Symposium at AAAI 2010 (March 22-24 2010March 22-24 2010March 22-24 2010March 22-24 2010, Palo Alto, California, USPalo Alto, California, USPalo Alto, California, USPalo Alto, California, US).
Ding, L., DiFranzo, D., McGuinness, D.L., Hendler, J., and Magidson, S. 2009. The Data-gov Wiki: A Semantic Web Portal for Linked Government Data. In Proceedings of ISWC 2009, International Semantic Web Conference (October 25-29 2009, Chantilly, VA, US).

Presentations:

Project Collaborator

Health on the Web
Principal Investigator: Deborah L. McGuinness and Joanne S. Luciano
Description: The Tetherless World Constellation's Health on the Web's primary goal is to explore the next generation web technology needed to improve health.
TWC schema.org Project LogoTWC Schema.org Vocabulary Development (TWC_Schemas)
Principal Investigator: Jim Hendler
Description: schema.org 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 schema.org vocabularies. In particular, we developed the schema.org/Dataset extension, a concise vocabulary that extends schema.org for describing datasets and data catalogs. Current work includes applying Dataset to scientific datasets and developing new extensions for use by Web Observatories
TW LogoTWC Web Observatory (WebObservatory)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Jim Hendler
Description: The Web Science Research Center at TWC RPI is working with other members of the Web Science Trust to create a global "Web Observatory". The global movement toward Open Data and transparency have successfully motivated the release of very large institutional and commercial data sets describing social phenomena, economic indicators and geographic trends. This proliferation of data represents great opportunity for researchers and industry but this data abundance also threatens to make it ever more difficult to locate, analyse, compare and interpret useful information in a consistent and reliable way; a situation which can only get worse unless we can help stakeholders perform useful analysis rather than drowning in a sea of data. A global Web Observatory will offer an institutional framework to promote the use of W3C and other standards in the development of Semantic Catalogues to globally locate existing data sets, Collection Systems to gather new global data sets, and Analytics Tools and methodologies to analyse these data sets.
Web Science Research Center (WSRC)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Joanne S. Luciano
Description: Web Science is the study of the World Wide Web and its impact on both society and technology, positioning the Web as an object of scientific study unto itself. Web Science recognizes the Web as a transformational, disruptive technology; its practitioners study the Web, its components, facets and characteristics. Ultimately, Web Science is about understanding the Web and anticipating how it might evolve in the future.