John S. Erickson

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John S. Erickson
Contact Info
Emailolyerickson@gmail.com

Interests: Web Science

John S. Erickson, Ph.D. has spent nearly two decades studying the unique social, legal, and technical problems that arise when managing and disseminating information in the digital environment. Currently the Deputy Director of the Web Science Research Center of the Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI), John coordinates group projects include the data science and data management infrastructure for the Deep Carbon Observatory (DCO), the Linking Open Government Data (LOGD) Portal and the TWC US Government Dataset Search application. Prior to joining TWC John was principal investigator on research projects at Hewlett-Packard Labs focusing on policy-based management and personalization of distributed, heterogeneous digital object repositories, content processing architectures and collaboration systems. Before joining HP Labs, was the architect for Copyright Direct™, the first real-time, Internet-based service to fully automate the complex copyright permissions process for a variety of media types, and LicensIt/@ttribute, the first digital rights management (DRM) technology to facilitate dialog between content creators and users through the dynamic exchange of metadata.


Citations via Google Scholar




TWC 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)
Erickson, J.S., Chastain, K., Patton, E.W., Fry, Z., Yan, R., and McGuinness, D.L. 2014. Identifying First Responder Communities Using Social Network Analysis (POSTER ABSTRACT). In Proceedings of International Semantic Web Conference (ISWC) 2014 (October 19-23 2014, Riva del Garda, Trentino, Italy).
Michaelis, J., McGuinness, D.L., Chang, C., Erickson, J.S., Hunter, D., and Babko-Malaya, O. 2014. Explaining Scientific and Technical Emergence Forecasting.
Erickson, J.S., Chastain, K., McCusker, J., Fry, Z., Yan, R., and McGuinness, D.L. 2014. Technical Report: Identifying First Responder Communities through Social Network Analysis of Disaster-Related Traffic.
Erickson, J.S., Gloria, K., and Hughes, G.N. 2014. Expanding Web Science Integration in an ITWS Curriculum. In Proceedings of Web Science Conference 2014 (June 23-26 2014, Indiana University, Bloomington, IN, US).
Gloria, K. and Erickson, J.S. 2014. Studying Cybercrime: Raising Questions about Objectivity and Bias. 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.
Erickson, J.S., Viswanathan, A., Shinavier, J., Shi, Y., and Hendler, J. 2013. Open Government Data: A Data Analytics Approach. IEEE Intelligent Systems, pages 19–23.
Erickson, J.S., McCusker, J., McGuinness, D.L., Fry, Z., Chastain, K., and Yan, R. 2013. Technical Report: Requirements Gathering through First Responder Social Network Analysis.
Erickson, J.S., Shi, Y., Ding, L., Rozell, E., Zheng, J., and Hendler, J. 2011. TWC International Open Government Dataset Catalog. In Proceedings of I-SEMANTICS 2011 (September 7-9 2011, Graz, Austria).
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).

TWC Presentations

Li, C., Erickson, J., Ma, X., West, P., Ghiroso, M., & Fox, P. (October 3, 2014). DCO-DS Boundary Activity: Data Extraction from Tables and Plots in Scanned PDF Publications. In: DCO-EPC workshop 2014
Ma, X., Chen, Y., Wang, H., Erickson, J., West, P., & Fox, P. (October 3, 2014). Deep Carbon Virtual Observatory: Leveraging Data Science to Facilitate Earth Science Research.
Fox, P., Erickson, J., West, P., Ma, X., Zednik, S., Hendler, J., Chen, Y., & Wang, H. (August 7, 2014). Implementation of Open-World, Integrative, Transparent, Collaborative Science Data Platforms. In: VIVO 2014
Wang, H., Chen, Y., Ma, X., West, P., Erickson, J., Hazen, R., & Fox, P. (April 30, 2014). User-Aware Multi-Dimensional Data Exploration for Deep Carbon Observatory. In: European Geosciences Union General Assembly 2014
Ma, X., Chen, Y., Wang, H., West, P., Erickson, J., & Fox, P. (February 19, 2014). Technologies and Functionalities of the Platform for Linked Science of the Deep Carbon Observatory Community. In: DCO Early Career Scientist Workshop
Ma, X., Chen, Y., Wang, H., West, P., Erickson, J., & Fox, P. (February 19, 2014). Deep Earth Computer: A Platform for Linked Science of the Deep Carbon Observatory Community. In: DCO Early Career Scientist Workshop
West, P., Erickson, J., Ma, X., & Fox, P. (January 23, 2014). Deep Carbon Observatory: Data Science and Data Management Infrastructure Overview and Demonstration. In: VIVO Developers Conference Call, Thursday, January 23, 2014
West, P., Erickson, J., Fox, P., & Ma, X. (January 22, 2014). Deep Carbon Observatory: Data Science and Data Management Infrastructure Overview and Demonstration. In: Boulder Earth and Space Science Informatics Group Meeting January 22 2014
Erickson, J., Ma, X., West, P., & Fox, P. (January 18, 2014). DCO: Data Science and Data Management Infrastructure Overview and Demonstration.
Wang, H., Chen, Y., Ma, X., Erickson, J., West, P., & Fox, P. (December 9, 2013). Semantically-enabled Knowledge Discovery in Deep Carbon Observatory. In: AGU Fall Meeting 2013
Erickson, J. (September 19, 2013). Intro to Web Science.
Fox, P., & Erickson, J. (July 9, 2013). First they have to find it: Getting Government Data Discovered and Used. In: ESIP Federation Summer Meeting 2013
Erickson, J., McCusker, J., Fry, Z., Yan, R., Chastain, K., & McGuinness, D. (March 6, 2013). First Responders Social Network Requirements Methodology. In: TWeD Discussion: Exploring Avenues for Research in Web Science
Wang, H., Chen, Y., Ma, X., Erickson, J., West, P., & Fox, P. (March 3, 2013). Research Initiatives in Deep Carbon Observatory – Data Science. In: DCO International Science Meeting
Ma, X., Chen, Y., Wang, H., West, P., Erickson, J., & Fox, P. (March 3, 2013). Data Management Plans for the Deep Carbon Observatory: What, Why and How?. In: DCO International Science Meeting
Chen, Y., Wang, H., Ma, X., Erickson, J., West, P., & Fox, P. (February 28, 2013). Deep Carbon Observatory Data Science Platform. In: DCO International Science Meeting

Project PI

TW Elixir: Web Interface for csv2rdf4lod Copnversion Automation (Elixir)
Principal Investigator: John S. Erickson
Co Investigator: Tim Lebo
Description: The goal of TW Elixir is to create an intuitive, interactive Web-based "front end" for the csv2rdf4lod conversion automation stack. Elixir will make it easy for users to create high-quality Linked Data. TW Elixir code will be made available to the community as open source.
ApartNet LogoTWC ApartNet (ApartNet)
Principal Investigator: John S. Erickson
Co Investigator: Patrick West
Description: TWC ApartNet is a social network-based tool to help RPI graduate students and others find housing advice and learning about solutions that meet their needs from their peers.

Project CO-PI

DCO-DS LogoDeep Carbon Observatory Data Science (DCO-DS)
Principal Investigator: Peter Fox
Co Investigator: John S. Erickson and Jim Hendler
Description: Given this increasing data deluge, it is clear that each of the Directorates in the Deep Carbon Observatory face diverse data science and data management needs to fulfill both their decadal strategic objectives and their day-to-day tasks. This project will assess in detail the data science and data management needs for each DCO directorate and for the DCO as a whole, using a combination of informatics methods; use case development, requirements analysis, inventories and interviews.
First Responders logoFirst Responders Requirements Metholodology (FirstResponders)
Principal Investigator: Deborah L. McGuinness
Co Investigator: John S. Erickson
Description: The purpose of this project is to design and prototype a requirements-gathering methodology driven by the first responders community. The methodology will include examining the current state of collecting and synthesizing responder requirements, assessing the effectiveness of that process, evaluating existing candidate platforms for use within this community, and producing a roadmap that can be used by NIST and others to achieve a solution enabling the responder community to more effectively dialogue with key stakeholders. A prototype implementation of the methodology will be developed using the roadmap and will be available for testing and evaluation and requirements gathering.

Project Collaborator

Repurposing Drugs with Semantics (ReDrugS)
Principal Investigator: Jonathan Dordick and Deborah L. McGuinness
Description: We aim to find new effective treatments for disease using existing drugs. Our approach is to gather and integrate existing data using semantic technologies to help discover promising drug repurposing.
TWC schema.org Project LogoTWC Schema.org Vocabulary Development (TWC_Schemas)
Principal Investigator: Jim Hendler
Co Investigator: Joshua Shinavier
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
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.